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	<updated>2026-10-18T07:49:01Z</updated>
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		<id>https://wiki.gacrc.uga.edu/index.php?title=Training&amp;diff=23183</id>
		<title>Training</title>
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		<updated>2026-09-14T14:47:54Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Sapelo2 Best Practices */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
==GACRC Training==&lt;br /&gt;
&lt;br /&gt;
The GACRC regularly hosts training sessions on a number of subjects relevant to the use of our computational and storage resources. Scheduled trainings will be announced through the GACRC mailing list. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE: New users are required to attend a Sapelo2 cluster introductory training session and information about that will be sent once an account is requested.&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Regular Training Announcement==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In &#039;&#039;&#039;September 2026&#039;&#039;&#039;, the GACRC is hosting 9 training sessions listed below. These training workshops will be offered remotely via Zoom Meeting. Detailed instructions for joining the Zoom meeting will be sent to your UGA email account before each training session you register for.&lt;br /&gt;
&lt;br /&gt;
We will offer:&lt;br /&gt;
&lt;br /&gt;
1. Linux training for Linux-inexperienced cluster new users (3 sessions)&lt;br /&gt;
&lt;br /&gt;
2. Sapelo2 cluster new user training (3 sessions)&lt;br /&gt;
&lt;br /&gt;
3. Using Sapelo2 Cluster at the GACRC, Part II (1 session)&lt;br /&gt;
&lt;br /&gt;
4. Installing Software Packages in Virtual Environments on Sapelo2 (1 session)&lt;br /&gt;
&lt;br /&gt;
5. Job Parallelization with GNU Parallel and Slurm Arrays (1 session)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
In &#039;&#039;&#039;October 2026&#039;&#039;&#039;, the GACRC is hosting 10 training sessions listed below. These training workshops will be offered remotely via Zoom Meeting. Detailed instructions for joining the Zoom meeting will be sent to your UGA email account before each training session you register for.&lt;br /&gt;
&lt;br /&gt;
We will offer:&lt;br /&gt;
&lt;br /&gt;
1. Linux training for Linux-inexperienced cluster new users (3 sessions)&lt;br /&gt;
&lt;br /&gt;
2. Sapelo2 cluster new user training (3 sessions)&lt;br /&gt;
&lt;br /&gt;
3. Using Sapelo2 Cluster at the GACRC, Part II (1 session)&lt;br /&gt;
&lt;br /&gt;
4. Installing Software Packages in Virtual Environments on Sapelo2 (1 session)&lt;br /&gt;
&lt;br /&gt;
5. Job Parallelization with GNU Parallel and Slurm Arrays (1 session)&lt;br /&gt;
&lt;br /&gt;
6. Sapelo2 Best Practices (1 session)&lt;br /&gt;
&lt;br /&gt;
==Event Schedule==&lt;br /&gt;
&lt;br /&gt;
This section describes the training workshops that we offer, along with the sessions that are currently scheduled.&lt;br /&gt;
&lt;br /&gt;
===Sapelo2 Cluster New User Training===&lt;br /&gt;
&lt;br /&gt;
This mandatory training consists of an overview of the structure of Sapelo2 as well as hands-on practice submitting a job along with guidance and best practices when using the Sapelo2 cluster. &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prerequisites:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
*Linux basics. A Linux-inexperienced user must complete a prerequisite Linux training for Linux-inexperienced cluster new users.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Workshop Training Goals:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
*Understand the layout of Sapelo2&lt;br /&gt;
&lt;br /&gt;
*Understand the Sapelo2 file systems&lt;br /&gt;
&lt;br /&gt;
*Understand the Sapelo2 partitions&lt;br /&gt;
&lt;br /&gt;
*Understand the Sapelo2 software environment&lt;br /&gt;
&lt;br /&gt;
*Understand how to request computing resources and submit a computational batch job following the Sapelo2 cluster general workflow&lt;br /&gt;
&lt;br /&gt;
*Understand how to initiate an interactive job&lt;br /&gt;
&lt;br /&gt;
*Understand how to transfer files to and from the cluster&lt;br /&gt;
&lt;br /&gt;
*Understand how to get support from GACRC support team when you have any issues on cluster&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Scheduled Sessions:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Title&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Date/Time &lt;br /&gt;
|-&lt;br /&gt;
|Using Sapelo2 Cluster at the GACRC&lt;br /&gt;
|September 16th, Wednesday, 2:00 PM - 4:00 PM&lt;br /&gt;
|-&lt;br /&gt;
|Using Sapelo2 Cluster at the GACRC&lt;br /&gt;
|September 24th, Thursday, 2:00 PM - 4:00 PM&lt;br /&gt;
|-&lt;br /&gt;
|Using Sapelo2 Cluster at the GACRC&lt;br /&gt;
|October 7th, Wednesday, 2:00 PM - 4:00 PM&lt;br /&gt;
|-&lt;br /&gt;
|Using Sapelo2 Cluster at the GACRC&lt;br /&gt;
|October 15th, Thursday, 2:00 PM - 4:00 PM&lt;br /&gt;
|-&lt;br /&gt;
|Using Sapelo2 Cluster at the GACRC&lt;br /&gt;
|October 23rd, Friday, 2:00 PM - 4:00 PM&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Linux Training for Linux-inexperienced Cluster New Users===&lt;br /&gt;
The Sapelo2 High Performance Computing (HPC) cluster runs a headless Linux distribution as the operating system on each of its constituent nodes. The term headless refers to the fact that these nodes do not have a desktop graphical user interface (GUI) installed by default. Graphical desktop environments consume resources that analyses could otherwise use, so users employ a command-line interface (CLI) instead. To interact with these resources, users connect to a remote terminal via SSH and execute commands.&lt;br /&gt;
&lt;br /&gt;
The Linux Training workshop provides hands-on practice of the fundamental Linux commands necessary to interact with HPC resources.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prerequisite:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Please watch the introductory videos on Linux, basic Linux terms, and Linux Paths and Directories (total ~17 minutes) &#039;&#039;&#039;before attending the training workshop&#039;&#039;&#039;.&lt;br /&gt;
&lt;br /&gt;
*[https://kaltura.uga.edu/media/t/1_81u2kfi2/176125031 Linux]&lt;br /&gt;
*[https://kaltura.uga.edu/media/t/1_ol51cuyn/176125031 basic Linux terms]&lt;br /&gt;
*[https://kaltura.uga.edu/media/t/1_wdyxhgdg/176125031 Linux Paths and Directories]&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Training Goals:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
1. Understand fundamental concepts of Linux working environment (filesystem hierarchy, path, PATH, etc.)  &lt;br /&gt;
&lt;br /&gt;
2. Know how to use Linux common commands (ls, cd, pwd, cat, more, nano, mkdir, rm, cp, mv, etc.)&lt;br /&gt;
&lt;br /&gt;
3. Understand what is Linux bash shell and know how to make a simple Linux script and run it in Linux environment&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Scheduled Sessions:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Title&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Date/Time&lt;br /&gt;
|-&lt;br /&gt;
|Use Linux on Cluster&lt;br /&gt;
|September 22nd, Tuesday, 1:00 PM - 3:00 PM&lt;br /&gt;
|-&lt;br /&gt;
|Use Linux on Cluster&lt;br /&gt;
|October 5th, Monday, 1:00 PM - 3:00 PM&lt;br /&gt;
|-&lt;br /&gt;
|Use Linux on Cluster&lt;br /&gt;
|October 13th, Tuesday, 1:00 PM - 3:00 PM&lt;br /&gt;
|-&lt;br /&gt;
|Use Linux on Cluster&lt;br /&gt;
|October 21st, Wednesday, 1:00 PM - 3:00 PM&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Using Sapelo2 Cluster at the GACRC, Part II ===&lt;br /&gt;
This workshop will cover high-performance computing on Sapelo2, including job scheduling, resource requests (CPU, memory, GPU), and techniques for optimizing job performance.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prerequisites:&#039;&#039;&#039;&lt;br /&gt;
*Linux basics. A Linux-inexperienced user must complete a prerequisite Linux training for Linux-inexperienced cluster new users.&lt;br /&gt;
*Sapelo2 cluster new user training.  Fundamental HPC and Sapelo2 knowledge is required for this advanced Sapelo2 workshop.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Training Goals:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
1. Learn about high-performance computing framework&lt;br /&gt;
&lt;br /&gt;
2. Why is my job pending? How can I get my job to start sooner? How to find available computing resources on Sapelo2?&lt;br /&gt;
&lt;br /&gt;
3. How to request computing resources such as nodes, CPU cores, memory, GPU device, etc. to run serial, threaded, MPI, and GPU jobs on Sapelo2?&lt;br /&gt;
&lt;br /&gt;
4. How can I make my job run more efficiently (through the correct use of software and hardware)?&lt;br /&gt;
&lt;br /&gt;
5. A quick intro to MPI library and how to compile/run MPI jobs on Sapelo2&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Scheduled Sessions:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Title&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Date/Time&lt;br /&gt;
|-&lt;br /&gt;
|Using Sapelo2 Cluster at the GACRC, Part II&lt;br /&gt;
|September 18th, Friday, 1:00 PM - 3:00 PM&lt;br /&gt;
|-&lt;br /&gt;
|Using Sapelo2 Cluster at the GACRC, Part II&lt;br /&gt;
|October 16th, Friday, 1:00 PM - 3:00 PM&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Installing Software Packages in Virtual Environments on Sapelo2 ===&lt;br /&gt;
This workshop will cover the basics of virtual environments as well as provide practical guidance and best practices for using virtual environments on the Sapelo2 cluster. Participants will learn the basics of creating and configuring virtual environments, how to install software packages in both a Conda virtual environment and a Python virtual environment, and manage dependencies in their environments.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prerequisite:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Must already have strong understanding of the Linux environment and Sapelo2.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Training Goals:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
1. Learn how to create a virtual environment on Sapelo2  &lt;br /&gt;
&lt;br /&gt;
2. Be able to install software packages into both Conda and Python virtual environments&lt;br /&gt;
&lt;br /&gt;
3. Understand how to manage dependencies of their virtual environments&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Scheduled Sessions:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Title&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Date/Time&lt;br /&gt;
|-&lt;br /&gt;
|Installing Software Packages in Virtual Environments on Sapelo2&lt;br /&gt;
|September 23rd, Wednesday, 2:00 PM - 2:45 PM&lt;br /&gt;
|-&lt;br /&gt;
|Installing Software Packages in Virtual Environments on Sapelo2&lt;br /&gt;
|October 27th, Tuesday, 2:00 PM - 2:45 PM&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Job Parallelization with GNU Parallel and Slurm Arrays ===&lt;br /&gt;
Learn how to run multiple commands in parallel using GNU Parallel and Slurm Arrays. These tools greatly reduce the runtime of certain types of jobs by running multiple instances of the same command in parallel. The workshop focuses on problems that involve executing the same command on multiple different inputs. This workshop is intended for users comfortable writing job submission scripts and using a command line. Concurrent and parallel programming techniques are not covered in this workshop.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prerequisite:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Must already have strong understanding of the Linux environment and Sapelo2.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Training Goals:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
1. Understand which jobs benefit from GNU Parallel and Slurm Arrays&lt;br /&gt;
&lt;br /&gt;
2. Use GNU Parallel and Slurm Arrays to parallelize jobs&lt;br /&gt;
&lt;br /&gt;
3. Understand the differences and similarities between GNU Parallel and Slurm Arrays &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Scheduled Sessions:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Title&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Date/Time&lt;br /&gt;
|-&lt;br /&gt;
|Job Parallelization with GNU Parallel and Slurm Arrays&lt;br /&gt;
|September 25th, Friday, 1:00 PM - 3:00 PM&lt;br /&gt;
|-&lt;br /&gt;
|Job Parallelization with GNU Parallel and Slurm Arrays&lt;br /&gt;
|October 20th, Tuesday, 1:00 PM - 3:00 PM&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Sapelo2 Best Practices for Computational Biology ===&lt;br /&gt;
This workshop is primarily intended for researchers who have gained &#039;&#039;some&#039;&#039; hands-on experience conducting their own research on Sapelo2 but need an introduction to best practices for correct and efficient use of the cluster. Topics include best practices for loading and using software modules, correct allocation and use of computational resources (memory, CPUs, GPUs, etc.) and file systems, and important considerations for specific software packages; the examples covered will focus on bioinformatics, but the principles covered are broadly applicable to users across research areas.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Prerequisite:&#039;&#039;&#039; &lt;br /&gt;
&lt;br /&gt;
Must already have strong understanding of the Linux environment and Sapelo2.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Training Goals:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
1. Learn how to correctly experiment with software packages &lt;br /&gt;
&lt;br /&gt;
2. Understand the available file systems and computation resources and how to use them correctly &lt;br /&gt;
&lt;br /&gt;
3. Understand the caveats and considerations of using some of the more popular bioinformatics software packages  &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Scheduled Sessions:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Title&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Date/Time&lt;br /&gt;
|-&lt;br /&gt;
|Sapelo2 Best Practices&lt;br /&gt;
|October 29th, Thursday, 2:00 PM - 3:00 PM&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--&lt;br /&gt;
===Python Basics===&lt;br /&gt;
&#039;&#039;&#039;Prerequisite:&#039;&#039;&#039; No prerequisites&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Training Goals:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
1. Understand Python scientific modules and distributions&lt;br /&gt;
&lt;br /&gt;
2. Understand Python general lexical conventions; Python built-in data types, like string, list, tuple, dictionary, etc.&lt;br /&gt;
&lt;br /&gt;
3. Understand Python programming structures and procedural programming using functions&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Title&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Date/Time&lt;br /&gt;
|-&lt;br /&gt;
|Python Basics I||Not scheduled&lt;br /&gt;
|-&lt;br /&gt;
| Python Basics II||Not scheduled&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== R Basics===&lt;br /&gt;
&#039;&#039;&#039;Prerequisite:&#039;&#039;&#039; No prerequisites&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Training Goals:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
1. Understand fundamentals of R language, e.g. R general lexical conventions, data types, functions, and packages. Part 2 will introduce loops and functions.&lt;br /&gt;
&lt;br /&gt;
2. Be able to manipulate and create data frames using built in functions and the dplyr package.&lt;br /&gt;
&lt;br /&gt;
3. Interact with your file system and submit R code as a batch job to Sapelo 2.  &lt;br /&gt;
 &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Title&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Date/Time &lt;br /&gt;
|-&lt;br /&gt;
|R Basics I||Not scheduled&lt;br /&gt;
|-&lt;br /&gt;
|R Basics II||Not scheduled&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Conda===&lt;br /&gt;
&#039;&#039;&#039;Prerequisite:&#039;&#039;&#039; No prerequisites&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Training Goals:&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
1. Understand fundamentals of conda environment&lt;br /&gt;
&lt;br /&gt;
2. Use conda to create and configure your own virtual environments&lt;br /&gt;
&lt;br /&gt;
3. Activate your environments to run python apps from your home directory on Sapelo2&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Title&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Date/Time&lt;br /&gt;
|-&lt;br /&gt;
|Conda Basics ||Not scheduled&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
==How to Register==&lt;br /&gt;
&lt;br /&gt;
The training workshops &#039;&#039;&#039;Using Sapelo2 Cluster at the GACRC&#039;&#039;&#039; and &#039;&#039;&#039;Use Linux on Cluster&#039;&#039;&#039; are &#039;&#039;&#039;ONLY&#039;&#039;&#039; offered to &#039;&#039;&#039;new users&#039;&#039;&#039; who need user accounts on the GACRC Sapelo2 cluster or current Sapelo2 users seeking a refresher. If you would like to use the cluster, please ask your group PI/UGA faculty member to send us an account creation request for you, using the  [https://uga.teamdynamix.com/TDClient/Requests/ServiceDet?ID=25839  GACRC User Account Request Form].&lt;br /&gt;
 &lt;br /&gt;
If you would like to attend the &#039;&#039;&#039;Using Sapelo2 Cluster at the GACRC, Part II&#039;&#039;&#039;, the &#039;&#039;&#039;Installing Software Packages in Virtual Environments on Sapelo2&#039;&#039;&#039;, and/or the &#039;&#039;&#039;Job Parallelization with GNU Parallel and Slurm Arrays&#039;&#039;&#039; training workshops, please send us a request using the [https://uga.teamdynamix.com/TDClient/Requests/ServiceDet?ID=25852 GACRC Training Request Form]. In your request, please tell us which session(s) you would like to attend.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--&lt;br /&gt;
==Topic Introduction==&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;Sap2test cluster migration training&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus:  Slurm queueing system, including Slurm job commands, job environment variables, and job submission headers, etc.&lt;br /&gt;
&lt;br /&gt;
The new software environment on Sap2test&lt;br /&gt;
&lt;br /&gt;
Other important topics related to Sap2test working environment&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;Using Sapelo2 Cluster at the GACRC&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus: Sapelo2 HPC cluster and computational batch job submission workflow&lt;br /&gt;
&lt;br /&gt;
Cluster&#039;s storage environment&lt;br /&gt;
&lt;br /&gt;
Computational queues on cluster&lt;br /&gt;
&lt;br /&gt;
Software environment&lt;br /&gt;
&lt;br /&gt;
How to submit computational batch jobs&lt;br /&gt;
&lt;br /&gt;
Other tips and guidelines for users&lt;br /&gt;
 &lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;Using Sapelo2 Cluster at the GACRC, Part II&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus: More topics on how to use Sapelo2 cluster&lt;br /&gt;
&lt;br /&gt;
Learn about high-performance computing framework&lt;br /&gt;
&lt;br /&gt;
Why is my job pending? How can I get my job to start sooner? How to find available computing resources on Sapelo2?&lt;br /&gt;
&lt;br /&gt;
How to request computing resources such as nodes, CPU cores, memory, GPU device, etc. to run serial, threaded, MPI, and GPU jobs on Sapelo2? &lt;br /&gt;
&lt;br /&gt;
How can I make my job run more efficiently (through the correct use of software and hardware)?&lt;br /&gt;
&lt;br /&gt;
A quick intro to MPI library and how to compile/run MPI jobs on Sapelo2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;Use Linux on Cluster&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus: Linux OS fundamentals&lt;br /&gt;
&lt;br /&gt;
Linux common commands, filesystem, and shell&lt;br /&gt;
&lt;br /&gt;
Linux shell scripting basics&lt;br /&gt;
&lt;br /&gt;
Common Linux utilities, e.g., grep, sed, find, sort, and awk, etc.&lt;br /&gt;
&lt;br /&gt;
Linux Hands-on practice&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;Python Basics I, II&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus of I: Python language overview, scientific modules and distributions&lt;br /&gt;
&lt;br /&gt;
Python general lexical conventions&lt;br /&gt;
&lt;br /&gt;
Basic built-in data types, like string, list, tuple, dictionary, etc.&lt;br /&gt;
&lt;br /&gt;
Focus of II: Programming structures: control flow and loop&lt;br /&gt;
&lt;br /&gt;
Function: procedural programming with examples, lambda expression, factory function and generator&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;R Basics I, II&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus of I: R language overview,general lexical conventions, data types, functions, and packages.&lt;br /&gt;
&lt;br /&gt;
Basic built-in data types, like string, numeric, list, dataframe etc. Using the dplyr package.&lt;br /&gt;
&lt;br /&gt;
Focus of II: Programming structures: control flow, loops and functions&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;Python on GACRC Sapelo2 Cluster&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus: Install Python packages/modules in a user&#039;s home directory on Sapelo2 cluster&lt;br /&gt;
&lt;br /&gt;
Python versions installed on Sapelo2&lt;br /&gt;
&lt;br /&gt;
Python environment details on Sapelo2 &lt;br /&gt;
&lt;br /&gt;
How to know a Python package is installed or not on Sapelo2&lt;br /&gt;
&lt;br /&gt;
How to install a Python package in user&#039;s home directory on Sapelo2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;Do It Yourself: Using Conda to create and run python environments to suit your computing needs effortlessly!&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus: Use conda to create and configure your own python virtual environments; Activate your environments to run python apps from your home directory on Sapelo2&lt;br /&gt;
&lt;br /&gt;
What is Conda and its environment&lt;br /&gt;
&lt;br /&gt;
Conda on Sapelo2&lt;br /&gt;
&lt;br /&gt;
Use conda to create and configure your own python virtual environments&lt;br /&gt;
&lt;br /&gt;
Activate your environments to run python apps from your home directory on Sapelo2&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;How to submit and run jobs efficiently and correctly on Sapelo2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus: Sapelo2 cluster general workflow and correct computing resource requesting&lt;br /&gt;
&lt;br /&gt;
Overview of Sapelo2 cluster with reference tables and operational diagrams&lt;br /&gt;
&lt;br /&gt;
Sapelo2 batch job submission workflow taking global scratch as job working space&lt;br /&gt;
&lt;br /&gt;
How to request computing resources correctly &lt;br /&gt;
&lt;br /&gt;
How to run pipeline tasks and what are advantages/disadvantages of different options&lt;br /&gt;
&lt;br /&gt;
Sapelo2 cluster guideline and practical tips&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;GACRC Storage Environment&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus: Overview of Linux common commands related to file and folder operations&lt;br /&gt;
&lt;br /&gt;
Overview of the storage environment of zcluster and Sapelo cluster at GACRC&lt;br /&gt;
&lt;br /&gt;
How to transfer data between local and GACRC storage&lt;br /&gt;
&lt;br /&gt;
New file transfer node xfer2 and how to use it to transfer data between zcluster and the new cluster&lt;br /&gt;
&lt;br /&gt;
GACRC suggestions on good practices on GACRC storage, etc;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;NCBI Blast application on sapelo&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus: Introduction to BLAST&lt;br /&gt;
&lt;br /&gt;
BLAST job submission to sapelo&lt;br /&gt;
&lt;br /&gt;
Advantages &amp;amp; Disadvantages: NCBI website vs run at sapelo.&lt;br /&gt;
&lt;br /&gt;
Understand BLAST output&lt;br /&gt;
&lt;br /&gt;
Troubleshooting the BLAST results&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;NGS application overview at GACRC&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus: Overview of Bioinformatics software available on HPC clusters at GACRC&lt;br /&gt;
&lt;br /&gt;
It’s a brave new world – NGS and its Applications  &lt;br /&gt;
&lt;br /&gt;
Hardware, Software, Databases available at GACRC&lt;br /&gt;
&lt;br /&gt;
NGS project: Logistics and resource considerations&lt;br /&gt;
&lt;br /&gt;
Best practices, common mistakes, troubleshooting and getting help from GACRC&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Title: &#039;&#039;&#039;Perl Language Basics I, II&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Focus of I: Overview of Perl language, &lt;br /&gt;
&lt;br /&gt;
Perl general scripting style&lt;br /&gt;
&lt;br /&gt;
Perl fundamental data types&lt;br /&gt;
&lt;br /&gt;
Focus of II: Program structure: control flow and loop&lt;br /&gt;
&lt;br /&gt;
Perl subroutine&lt;br /&gt;
&lt;br /&gt;
Perl I/O&lt;br /&gt;
--&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Download==&lt;br /&gt;
&lt;br /&gt;
This section provides the slides that we use for our current workshops and material used for several of our past training events and presentations.&lt;br /&gt;
 &lt;br /&gt;
===Sapelo2 Cluster Training===&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|[[Media:GACRC_Sapelo2_New_User_Training.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:GACRC_Sapelo2_cluster_new_user_training_workshop_v10.8.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Teaching Cluster Training===&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:GACRC-Teaching-cluster-new-user-training-workshop-Spring2026.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Linux Training for New Cluster Users===&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:Linux_Training_For_New_Users_Of_Cluster_Suchi_04252019.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Installing Software Packages in Virtual Environments on Sapelo2===&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:GACRC_virtual_environments_training_v1.2.pdf]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Job Parallelization with GNU Parallel and Slurm Arrays===&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:GNU_Parallel_and_SLURM_Arrays_v1.2.pdf]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--&lt;br /&gt;
===Python Basics===&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:Python_Language_Basics_I_v5.1.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:Python_Language_Basics_II_v5.1.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:Python_Basics_v6.1.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===R Basics===&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:R Language Basics PowerPoint v2.0.1.pdf|Media:R_Language_Basics_PowerPoint_v2.0.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:R_Language_Basics_Document_v2.0.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:R_Language_Basics_part_2_Powerpoint_v1.0.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:R_Language_Basics_part_2_Document_v1.0.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Perl Basics===&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
| [[Media:Perl_Language_Basics_I_Workshop_v1.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
--&amp;gt;&lt;br /&gt;
&amp;lt;!--&lt;br /&gt;
===Sap2test Migration Training===&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:Migrating_to_Slurm_and_new_software_environment.pdf]]&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Please note:&#039;&#039;&#039; To help users familiarize with Slurm and the test cluster environment, we have prepared some training videos that are available from the &#039;&#039;&#039;GACRC&#039;s Kaltura channel&#039;&#039;&#039; at&lt;br /&gt;
https://kaltura.uga.edu/channel/GACRC/176125031 (login with MyID and password is required).&lt;br /&gt;
--&amp;gt;&lt;br /&gt;
===Topical Sessions===&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:AI_Resources_on_the_GACRC_Sapelo2_Cluster.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:Using_Sapelo2_Cluster_at_the_GACRC_Part_II_Rocky8.pdf]]&lt;br /&gt;
&amp;lt;!--&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:Using_Conda_on_the_GACRC_Sap2test_cluster_v1.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:Blast_Workshop_GACRC_02012017.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|[[Media:Next-Generation_Sequencing_Applications_at_GACRC_10282016.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
--&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
===Out-Reach/In-Class Talk===&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable unsortable&amp;quot; width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot; cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Dept./Center/Institute&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Type&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; |Workshop PDF&lt;br /&gt;
|-&lt;br /&gt;
|Fall 2026&lt;br /&gt;
|&lt;br /&gt;
|[[Media:GACRC_Teaching_Cluster_Training-Python.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Fall 2026&lt;br /&gt;
|&lt;br /&gt;
|[[Media:GACRC_Teaching_Cluster_Training-Amber.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|GEOG - Spring2026 || In-Class || [[Media:GACRC-Teaching-cluster-new-user-training-workshop-python-Spring2026.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|BCMB8330 - Spring2026 || In-Class || [[Media:GACRC-Teaching-cluster-new-user-training-workshop_bcmb8330_Spring2026.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|CSP seminar - Fall 2026|| Out-Reach || [[Media:GACRC_overview_20260825_CSP.pdf]]&lt;br /&gt;
&amp;lt;!--&lt;br /&gt;
|-&lt;br /&gt;
|PHYS8601 - Spring2026 || In-Class || [[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys8601-Spring2026.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Anthropology Department || Out-Reach || [[Media:GACRC_overview_20251117_Anthropology.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|CSP seminar - Fall 2025|| Out-Reach || [[Media:GACRC_overview_20250819-CSP.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|BCMB8330 - Spring2025||In-Class||[[Media:GACRC-Teaching-cluster-new-user-training-workshop_bcmb8330-Spring2025.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|PHYS8602 - Spring2025||In-Class||[[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys8602-Spring2025.pdf]] ; [[Media:Gacrc_handout2025_phys8602.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Engineering FYOS - Fall 2024|| In-Class||[[Media:GACRC_overview_20240920-FYOS.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|CSP seminar - Fall 2024||Out-Reach||[[Media:GACRC_overview_20240820-CSP.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|BCMB8330 - Spring2024||In-Class||[[Media:GACRC-Teaching-cluster-new-user-training-workshop_bcmb8330_Spring2024.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|PHYS4601/6601 - Spring2024|| In-Class||[[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys4601-Spring2024.pdf]] ; [[Media:Gacrc_handout2024_phys4601.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|PHYS8601 - Spring2024||In-Class||[[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys8601-Spring2024.pdf]] ; [[Media:Gacrc_handout2024_phys8601.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|CSP seminar - Fall 2023||Out-Reach||[[Media:GACRC_overview_20230822-CSP.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|BCMB8330 - Spring2023||In-Class||[[Media:GACRC-Teaching-cluster-new-user-training-workshop_bcmb8330.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|PHYS4601/6601 - Spring2023||In-Class||[[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys4601.pdf]] ; [[Media:Gacrc_handout2023_phys4601.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|PHYS8602 - Spring2023|| In-Class||[[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys8602.pdf]] ; [[Media:Gacrc_handout2023_phys8602.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|ILS GradFIRST course - Fall 2022||Out-Reach||[[Media:GACRC_overview_20220901-ILS.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|FYOS1001 - Fall 2022||Out-Reach||[[Media:High_Performance_Computing_(HPC)_on_GACRC_Sapelo2_Cluster.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|CSP seminar - Fall 2022||Out-Reach||[[Media:GACRC_overview_20220830-CSP.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|CSP seminar - Fall 2022||Out-Reach||[[Media:Compile_and_Run_HPC_code_on_Sapelo2.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Terry College IT - Spring2022||Out-Reach ||[[Media:GACRC_overview_20220506-Terry.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|PHYS8601 - Spring2022||In-Class||[[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys8601.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|PHYS4601/6601 - Spring2022||In-Class||[[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys4601.pdf]] ; [[Media:Gacrc_handout2021_phys4601.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|PHYS8602 - Spring2021 ||In-Class||[[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys8602-2021.pdf]] ; [[Media:Gacrc_handout2021_phys8602.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|GENE4220 - Fall2020||In-Class||[[Media:GACRC_Teaching_cluster_new_user_training_workshop_GENE4220_Fall2020.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|College of Veterinary Medicine - Spring2020||Out-Reach (jlslab)||[[Media:Using_GACRC_Sapelo2_Cluster-Advanced_Topics(1).pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Byod Data Center - Fall2019||In-Class (FYOS1001)||[[Media:High_Performance_Computing_(HPC)_on_Cluster.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Department of Linguistics - Fall2019||In-class (LING6570)|| [[Media:GACRC_Teaching_cluster_new_user_training_workshop_LING6570_Part2.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|The Center for Simulational Physics - Fall2019||Out-Reach (Seminar Talk 20190820)||[[Media:Introduction_to_GACRC_Computing_Facility_-_Sapelo2_Cluster_CSP-Fall2019.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|The Center for Simulational Physics||In-Class (PHYS4601/6601)||[[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys4601.pdf]] [[Media:Gacrc_handout2019_phys4601.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
| The Center for Simulational Physics||In-Class (PHYS8601)||[[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys8601.pdf]] [[Media:Gacrc_handout2020_phys8601.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|The Center for Simulational Physics||In-Class (PHYS8602)||[[Media:GACRC_Teaching_cluster_new_user_training_workshop-phys8602.pdf]] [[Media:Gacrc_handout2019_phys8602.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Food Science - Fall2018||In-Class (FYOS1001)||[[Media:High_Performance_Computing_(HPC)_on_Sapelo2_Cluster_at_GACRC.pdf]]&lt;br /&gt;
|- &lt;br /&gt;
|The Center for Simulational Physics - Summer2018||Out-Reach (Seminar Talk 20180821)||[[Media:Introduction_to_GACRC_Sapelo2_cluster.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Miller plant science - Summer2018||Out-Reach (jlmlab)||[[Media:Introduction_to_GACRC_Sapelo2_cluster.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Biochemistry and Molecular Biology - Spring2018||In-Class (BCMB8330)||[[Media:GACRC_zcluster_Class_Training_BCMB8330_Spring_2018.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|The Center for Simulational Physics - Summer2017||Out-Reach (Seminar Talk 20170831)||[[Media:Introduction_on_HPC_Resources_at_the_GACRC.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Computational Physics - Spring2017 ||In-class (PHYS4601/6601)||[[Media:Phys4601.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Computational Physics - Spring2017||In-class (PHYS8602)||[[Media:Phys8602.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|The Institute of Bioinformatics and the Quantitative Biology Consulting Group||Out-Reach||[[Media:Introduction_to_HPC_Resources_at_GACRC_BBB_Talk_20151014.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|The Center for Simulational Physics||Out-Reach (Seminar Talk 20160906)||[[Media:Introduction_to_Sapelo_Computing_Resources_at_GACRC_Workshop20160906.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Microbiology||In-Class (MIBO8150)||[[Media:Introduction_to_HPC_Resources_at_GACRC_MIBO8150_20160926.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Statistics||In-Class (STAT8060)||[[Media:Introduction_to_HPC_Using_zcluster_at_GACRC_Workshop_STAT8060_20150826.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Biochemistry and Molecular Biology||In-Class (BCMB8211)||[[Media:Introduction_to_HPC_Using_zcluster_at_GACRC_BCMB8211_20160114.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Plant Biology||In-Class (PBIO/BINF8350)||[[Media:Introduction_to_HPC_Using_zcluster_at_GACRC_PBIO-BINF8350_20160115.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Plant Biology - Bioinformatics Applications Fall2016||In-Class (PBIO4550)||[[Media:Introduction_to_HPC_Using_zcluster_at_GACRC_PBIO_4550_08182016.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Bioinformatics - Essential Computing Skills for Biologists Fall2016||In-Class (BINF4005)||[[Media:Introduction_to_HPC_Using_zcluster_at_GACRC_BINF_4005_08312016.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Computers in Experimental Genetics Fall2016||In-Class (GENE4220)||[[Media:Introduction_to_HPC_Using_zcluster_at_GACRC_GENE_4220_10192016.pdf]]&lt;br /&gt;
|-&lt;br /&gt;
|Statistics - Advanced Applications and Computing in R Fall2016||In-Class (STAT8330)||[[Media:Introduction_to_HPC_Using_zcluster_at_GACRC_STAT8330_11022016.pdf]]&lt;br /&gt;
--&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;NOTE:&#039;&#039;&#039; The slides may become outdated and you should always check GACRC Wiki for up to date information.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;!--&lt;br /&gt;
==Past Sessions==&lt;br /&gt;
&lt;br /&gt;
[[Pass Sessions in 2021]]&lt;br /&gt;
&lt;br /&gt;
[[Past Sessions in 2020]]&lt;br /&gt;
&lt;br /&gt;
[[Past Sessions in 2019]]&lt;br /&gt;
&lt;br /&gt;
[[Past Sessions in 2018]]&lt;br /&gt;
&lt;br /&gt;
[[Past Sessions in 2017]]&lt;br /&gt;
&lt;br /&gt;
[[Past Sessions in 2016]]&lt;br /&gt;
&lt;br /&gt;
[[Past Sessions in 2015]]&lt;br /&gt;
--&amp;gt;&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=ESMFold-Sapelo2&amp;diff=23155</id>
		<title>ESMFold-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=ESMFold-Sapelo2&amp;diff=23155"/>
		<updated>2026-08-28T15:04:33Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
20260825 (based on the last set of updates, made August 1, 2024)&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/facebookresearch/ESM#esmfold&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/facebookresearch/ESM: &amp;quot;Evolutionary Scale Modeling (esm): Pretrained language models for proteins&amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 20260825&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/esmfold-20260825.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
The primary command is &amp;quot;esm-fold&amp;quot; and you can view the documentation for this with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/esmfold-20260825.sif esm-fold --help&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that ESMFold is GPU dependent but, unlike AlphaFold and other protein structure prediction pipelines, is &amp;lt;b&amp;gt;not&amp;lt;/b&amp;gt; CPU intensive because it does not depend on multiple sequence alignments (MSAs) for the prediction process. This means that you will need to request only a few CPUs for your job. However, for most proteins, it will only run on the A100 and H100 nodes (it has been tested on the L4 nodes but only for fairly small proteins). Unfortunately, unlike with AlphaFold 3, unified memory is not available for ESMFold, which places a firm upper limit on the size of protein that can be modeled; to date, the largest complex observed to run successfully was 2,547 amino acids long (the human protein talin-1), and this required the use of the &amp;quot;--chunk-size&amp;quot; flag to reduce memory usage. Also, be aware that ESMFold expects the input file to be FASTA formatted, not JSON formatted like AlphaFold 3 and others, and that it will use whatever is in the FASTA header to name the output PDB file for that particular sequence (there does not appear to be a way to work around this).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that while ESMFold doesn&#039;t depend on any database files, it &amp;lt;i&amp;gt;does&amp;lt;/i&amp;gt; depend on a set of model files, which you must download for yourself because the software expects them to be in a user-writable directory. The directory containing model files must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script (including the model download with the &#039;-m&#039; option, which only needs to be run once):&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=ESMFold			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=2			#Because there&#039;s no MSA step, CPU usage is minimal&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using an L4, which has less device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=1:00:00				#Most runs will be extremely quick		&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
#Note that the &amp;quot;-m&amp;quot; option only needs to be included the very first time you run ESMFold,&lt;br /&gt;
#after which the model files will be downloaded and you can simply re-use them (this is&lt;br /&gt;
#the point of the &amp;quot;--env TORCH_HOME=/root/esm_models&amp;quot; part); it is recommended that you&lt;br /&gt;
#specify a path in your /home directory for safe keeping.&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/esm_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/esm_output \&lt;br /&gt;
     --bind /Path/to/models_directory:/root/esm_models \&lt;br /&gt;
     --env TORCH_HOME=/root/esm_models \&lt;br /&gt;
     /apps/singularity-images/esmfold-20260825.sif esm-fold \&lt;br /&gt;
     -i /root/esm_input/NAME_OF_INPUT_FILE.fasta \&lt;br /&gt;
     -o /root/esm_output \&lt;br /&gt;
     -m /root/esm_models&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/facebookresearch/ESM#esmfold&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 20260825:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/esmfold-20260825.sif esm-fold --help&lt;br /&gt;
usage: esm-fold [-h] -i FASTA -o PDB [-m MODEL_DIR] [--num-recycles NUM_RECYCLES] [--max-tokens-per-batch MAX_TOKENS_PER_BATCH] [--chunk-size CHUNK_SIZE]&lt;br /&gt;
&lt;br /&gt;
optional arguments:&lt;br /&gt;
  -h, --help            show this help message and exit&lt;br /&gt;
  -i FASTA, --fasta FASTA&lt;br /&gt;
                        Path to input FASTA file&lt;br /&gt;
  -o PDB, --pdb PDB     Path to output PDB directory&lt;br /&gt;
  -m MODEL_DIR, --model-dir MODEL_DIR&lt;br /&gt;
                        Parent path to Pretrained ESM data directory.&lt;br /&gt;
  --num-recycles NUM_RECYCLES&lt;br /&gt;
                        Number of recycles to run. Defaults to number used in training (4).&lt;br /&gt;
  --max-tokens-per-batch MAX_TOKENS_PER_BATCH&lt;br /&gt;
                        Maximum number of tokens per gpu forward-pass. This will group shorter sequences together for batched prediction. Lowering this can help with out of memory issues, if these occur on short sequences.&lt;br /&gt;
  --chunk-size CHUNK_SIZE&lt;br /&gt;
                        Chunks axial attention computation to reduce memory usage from O(L^2) to O(L). Equivalent to running a for loop over chunks of of each dimension. Lower values will result in lower memory usage at the cost of speed. Recommended values: 128, 64,&lt;br /&gt;
                        32. Default: None.&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=ESMFold-Sapelo2&amp;diff=23154</id>
		<title>ESMFold-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=ESMFold-Sapelo2&amp;diff=23154"/>
		<updated>2026-08-28T14:23:56Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
20260825 (based on the last set of updates, made August 1, 2024)&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/facebookresearch/ESM#esmfold&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/facebookresearch/ESM: &amp;quot;Evolutionary Scale Modeling (esm): Pretrained language models for proteins&amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 20260825&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/esmfold-20260825.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
The primary command is &amp;quot;esm-fold&amp;quot; and you can view the documentation for this with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/esmfold-20260825.sif esm-fold --help&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that ESMFold is GPU dependent but, unlike AlphaFold and other protein structure prediction pipelines, is &amp;lt;b&amp;gt;not&amp;lt;/b&amp;gt; CPU intensive because it does not depend on multiple sequence alignments (MSAs) for the prediction process. This means that you will need to request only a few CPUs for your job. However, for most proteins, it will only run on the A100 and H100 nodes (it has been tested on the L4 nodes but only for fairly small proteins). Unfortunately, unlike with AlphaFold 3, unified memory is not available for ESMFold, which places a firm upper limit on the size of protein that can be modeled; to date, the largest complex observed to run successfully was 2,547 amino acids long (the human protein talin-1), and this required the use of the &amp;quot;--chunk-size&amp;quot; flag to reduce memory usage. Also, be aware that ESMFold expects the input file to be FASTA formatted, not JSON formatted like AlphaFold 3 and others.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that while ESMFold doesn&#039;t depend on any database files, it &amp;lt;i&amp;gt;does&amp;lt;/i&amp;gt; depend on a set of model files, which you must download for yourself because the software expects them to be in a user-writable directory. The directory containing model files must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script (including the model download with the &#039;-m&#039; option, which only needs to be run once):&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=ESMFold			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=2			#Because there&#039;s no MSA step, CPU usage is minimal&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using an L4, which has less device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=1:00:00				#Most runs will be extremely quick		&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
#Note that the &amp;quot;-m&amp;quot; option only needs to be included the very first time you run ESMFold,&lt;br /&gt;
#after which the model files will be downloaded and you can simply re-use them (this is&lt;br /&gt;
#the point of the &amp;quot;--env TORCH_HOME=/root/esm_models&amp;quot; part); it is recommended that you&lt;br /&gt;
#specify a path in your /home directory for safe keeping.&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/esm_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/esm_output \&lt;br /&gt;
     --bind /Path/to/models_directory:/root/esm_models \&lt;br /&gt;
     --env TORCH_HOME=/root/esm_models \&lt;br /&gt;
     /apps/singularity-images/esmfold-20260825.sif esm-fold \&lt;br /&gt;
     -i /root/esm_input/NAME_OF_INPUT_FILE.fasta \&lt;br /&gt;
     -o /root/esm_output \&lt;br /&gt;
     -m /root/esm_models&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/facebookresearch/ESM#esmfold&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 20260825:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/esmfold-20260825.sif esm-fold --help&lt;br /&gt;
usage: esm-fold [-h] -i FASTA -o PDB [-m MODEL_DIR] [--num-recycles NUM_RECYCLES] [--max-tokens-per-batch MAX_TOKENS_PER_BATCH] [--chunk-size CHUNK_SIZE]&lt;br /&gt;
&lt;br /&gt;
optional arguments:&lt;br /&gt;
  -h, --help            show this help message and exit&lt;br /&gt;
  -i FASTA, --fasta FASTA&lt;br /&gt;
                        Path to input FASTA file&lt;br /&gt;
  -o PDB, --pdb PDB     Path to output PDB directory&lt;br /&gt;
  -m MODEL_DIR, --model-dir MODEL_DIR&lt;br /&gt;
                        Parent path to Pretrained ESM data directory.&lt;br /&gt;
  --num-recycles NUM_RECYCLES&lt;br /&gt;
                        Number of recycles to run. Defaults to number used in training (4).&lt;br /&gt;
  --max-tokens-per-batch MAX_TOKENS_PER_BATCH&lt;br /&gt;
                        Maximum number of tokens per gpu forward-pass. This will group shorter sequences together for batched prediction. Lowering this can help with out of memory issues, if these occur on short sequences.&lt;br /&gt;
  --chunk-size CHUNK_SIZE&lt;br /&gt;
                        Chunks axial attention computation to reduce memory usage from O(L^2) to O(L). Equivalent to running a for loop over chunks of of each dimension. Lower values will result in lower memory usage at the cost of speed. Recommended values: 128, 64,&lt;br /&gt;
                        32. Default: None.&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=ESMFold-Sapelo2&amp;diff=23153</id>
		<title>ESMFold-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=ESMFold-Sapelo2&amp;diff=23153"/>
		<updated>2026-08-27T15:52:38Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
20260825 (based on the last set of updates, made August 1, 2024)&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/facebookresearch/ESM#esmfold&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/facebookresearch/ESM: &amp;quot;Evolutionary Scale Modeling (esm): Pretrained language models for proteins&amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 20260825&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/esmfold-20260825.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
The primary command is &amp;quot;esm-fold&amp;quot; and you can view the documentation for this with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/esmfold-20260825.sif esm-fold --help&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that ESMFold is GPU dependent but, unlike AlphaFold and other protein structure prediction pipelines, is &amp;lt;b&amp;gt;not&amp;lt;/b&amp;gt; CPU intensive because it does not depend on multiple sequence alignments (MSAs) for the prediction process. This means that you will need to request only a few CPUs for your job. However, for most proteins, it will only run on the A100 and H100 nodes (it has been tested on the L4 nodes but only for fairly small proteins). Unfortunately, unlike with AlphaFold 3, unified memory is not available for ESMFold, which places a firm upper limit on the size of protein that can be modeled; to date, the largest complex observed to run successfully was 2,547 amino acids long (the human protein talin-1), and this required the use of the &amp;quot;--chunk-size&amp;quot; flag to reduce memory usage. Also, be aware that ESMFold expects the input file to be FASTA formatted, not JSON formatted like AlphaFold 3 and others.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that while ESMFold doesn&#039;t depend on any database files, it &amp;lt;i&amp;gt;does&amp;lt;/i&amp;gt; depend on a set of model files, which you must download for yourself because the software expects them to be in a user-writable directory. The directory containing model files must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script (including the model download with the &#039;-m&#039; option, which only needs to be run once):&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=ESMFold			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=2			#Because there&#039;s no MSA step, CPU usage is minimal&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using an L4, which has less device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=1:00:00				#Most runs will be extremely quick		&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
#Note that the &amp;quot;-m&amp;quot; option only needs to be included the very first time you run ESMFold,&lt;br /&gt;
#after which the model files will be downloaded and you can simply re-use them (this is&lt;br /&gt;
#the point of the &amp;quot;--env TORCH_HOME=/root/esm_models&amp;quot; part); it is recommended that you&lt;br /&gt;
#specify a path in your /home directory for safe keeping.&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/esm_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/esm_output \&lt;br /&gt;
     --bind /Path/to/models_directory:/root/esm_models \&lt;br /&gt;
     --env TORCH_HOME=/root/esm_models \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.4.sif esm-fold \&lt;br /&gt;
     -i /root/esm_input/NAME_OF_INPUT_FILE.fasta \&lt;br /&gt;
     -o /root/esm_output \&lt;br /&gt;
     -m /root/esm_models&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/facebookresearch/ESM#esmfold&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 20260825:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/esmfold-20260825.sif esm-fold --help&lt;br /&gt;
usage: esm-fold [-h] -i FASTA -o PDB [-m MODEL_DIR] [--num-recycles NUM_RECYCLES] [--max-tokens-per-batch MAX_TOKENS_PER_BATCH] [--chunk-size CHUNK_SIZE]&lt;br /&gt;
&lt;br /&gt;
optional arguments:&lt;br /&gt;
  -h, --help            show this help message and exit&lt;br /&gt;
  -i FASTA, --fasta FASTA&lt;br /&gt;
                        Path to input FASTA file&lt;br /&gt;
  -o PDB, --pdb PDB     Path to output PDB directory&lt;br /&gt;
  -m MODEL_DIR, --model-dir MODEL_DIR&lt;br /&gt;
                        Parent path to Pretrained ESM data directory.&lt;br /&gt;
  --num-recycles NUM_RECYCLES&lt;br /&gt;
                        Number of recycles to run. Defaults to number used in training (4).&lt;br /&gt;
  --max-tokens-per-batch MAX_TOKENS_PER_BATCH&lt;br /&gt;
                        Maximum number of tokens per gpu forward-pass. This will group shorter sequences together for batched prediction. Lowering this can help with out of memory issues, if these occur on short sequences.&lt;br /&gt;
  --chunk-size CHUNK_SIZE&lt;br /&gt;
                        Chunks axial attention computation to reduce memory usage from O(L^2) to O(L). Equivalent to running a for loop over chunks of of each dimension. Lower values will result in lower memory usage at the cost of speed. Recommended values: 128, 64,&lt;br /&gt;
                        32. Default: None.&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=ESMFold-Sapelo2&amp;diff=23152</id>
		<title>ESMFold-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=ESMFold-Sapelo2&amp;diff=23152"/>
		<updated>2026-08-26T19:45:32Z</updated>

		<summary type="html">&lt;p&gt;Jordan: Created this page on 2026.08.26&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
20260825 (based on the last set of updates, made August 1, 2024)&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/facebookresearch/ESM#esmfold&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/facebookresearch/ESM: &amp;quot;Evolutionary Scale Modeling (esm): Pretrained language models for proteins&amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 20260825&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/esmfold-20260825.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
The primary command is &amp;quot;esm-fold&amp;quot; and you can view the documentation for this with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/esmfold-20260825.sif esm-fold --help&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that ESMFold is GPU dependent but, unlike AlphaFold and other protein structure prediction pipelines, is &amp;lt;b&amp;gt;not&amp;lt;/b&amp;gt; CPU intensive because it does not depend on multiple sequence alignments (MSAs) for the prediction process. This means that you will need to request only a few CPUs for your job. However, for most proteins, it will only run on the A100 and H100 nodes (it has been tested on the L4 nodes but only for fairly small proteins). Unfortunately, unlike with AlphaFold 3, unified memory is not available for ESMFold, which places a firm upper limit on the size of protein that can be modeled; to date, the largest complex observed to run successfully was 2,547 amino acids long (the human protein talin-1). Be aware that ESMFold expects the input file to be FASTA formatted, not JSON formatted like AlphaFold 3 and others.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that while ESMFold doesn&#039;t depend on any database files, it &amp;lt;i&amp;gt;does&amp;lt;/i&amp;gt; depend on a set of model files, which you must download for yourself because the software expects them to be in a user-writable directory. The directory containing model files must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script (including the model download with the &#039;-m&#039; option, which only needs to be run once):&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=ESMFold			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=2			#Because there&#039;s no MSA step, CPU usage is minimal&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using an L4, which has less device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=1:00:00				#Most runs will be extremely quick		&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
#Note that the &amp;quot;-m&amp;quot; option only needs to be included the very first time you run ESMFold,&lt;br /&gt;
#after which the model files will be downloaded and you can simply re-use them (this is&lt;br /&gt;
#the point of the &amp;quot;--env TORCH_HOME=/root/esm_models&amp;quot; part); it is recommended that you&lt;br /&gt;
#specify a path in your /home directory for safe keeping.&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/esm_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/esm_output \&lt;br /&gt;
     --bind /Path/to/models_directory:/root/esm_models \&lt;br /&gt;
     --env TORCH_HOME=/root/esm_models \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.4.sif esm-fold \&lt;br /&gt;
     -i /root/esm_input/NAME_OF_INPUT_FILE.fasta \&lt;br /&gt;
     -o /root/esm_output \&lt;br /&gt;
     -m /root/esm_models&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/facebookresearch/ESM#esmfold&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 20260825:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/esmfold-20260825.sif esm-fold --help&lt;br /&gt;
usage: esm-fold [-h] -i FASTA -o PDB [-m MODEL_DIR] [--num-recycles NUM_RECYCLES] [--max-tokens-per-batch MAX_TOKENS_PER_BATCH] [--chunk-size CHUNK_SIZE]&lt;br /&gt;
&lt;br /&gt;
optional arguments:&lt;br /&gt;
  -h, --help            show this help message and exit&lt;br /&gt;
  -i FASTA, --fasta FASTA&lt;br /&gt;
                        Path to input FASTA file&lt;br /&gt;
  -o PDB, --pdb PDB     Path to output PDB directory&lt;br /&gt;
  -m MODEL_DIR, --model-dir MODEL_DIR&lt;br /&gt;
                        Parent path to Pretrained ESM data directory.&lt;br /&gt;
  --num-recycles NUM_RECYCLES&lt;br /&gt;
                        Number of recycles to run. Defaults to number used in training (4).&lt;br /&gt;
  --max-tokens-per-batch MAX_TOKENS_PER_BATCH&lt;br /&gt;
                        Maximum number of tokens per gpu forward-pass. This will group shorter sequences together for batched prediction. Lowering this can help with out of memory issues, if these occur on short sequences.&lt;br /&gt;
  --chunk-size CHUNK_SIZE&lt;br /&gt;
                        Chunks axial attention computation to reduce memory usage from O(L^2) to O(L). Equivalent to running a for loop over chunks of of each dimension. Lower values will result in lower memory usage at the cost of speed. Recommended values: 128, 64,&lt;br /&gt;
                        32. Default: None.&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Software&amp;diff=23151</id>
		<title>Software</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Software&amp;diff=23151"/>
		<updated>2026-08-26T18:40:14Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Partial List of Installed Software */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;On Sapelo2 and on the Teaching cluster users have the option to install their own software or use software installed centrally by the GACRC staff. Detailed information on how to find and access software packages installed on Sapelo2 are available at the [[Software on Sapelo2]] page and on the teaching cluster at the [[Software on Teaching Cluster]] page.&lt;br /&gt;
&lt;br /&gt;
Below is a very limited list of software packages installed on Sapelo2 and on the Teaching cluster. We only intend to make an application page for software packages that requires extra documentation not covered in [[Software on Sapelo2]] or [[Software on Teaching Cluster]].&lt;br /&gt;
&lt;br /&gt;
To view a list of all modules installed on Sapelo2/Teaching, along with a short description of each module, please run the following command on Sapelo2/Teaching:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
module spider&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can also use the command above to search for a specific application. For more information, please see [[Lmod]].&lt;br /&gt;
&lt;br /&gt;
The &#039;&#039;&#039;file transfer&#039;&#039;&#039; nodes (&#039;&#039;&#039;xfer&#039;&#039;&#039; nodes) do not have environment modules installed. File transfer utilities are installed centrally on the xfer nodes and available on the users&#039; default PATH. Such utilities include bs (basespace-cli), fpsync, rclone, rsync, etc.&lt;br /&gt;
https://wiki.gacrc.uga.edu/wiki/Main_Page&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; Although we have not made individual software pages for the applications installed on Sapelo2, there are currently over 1300 software packages installed there. For more information, please see [[Software on Sapelo2]].&lt;br /&gt;
&lt;br /&gt;
==Partial List of Installed Software==&lt;br /&gt;
Last updated &#039;&#039;&#039;{{REVISIONYEAR}}-{{REVISIONMONTH}}-{{REVISIONDAY2}}&#039;&#039;&#039;. This is a partial list of installed software so there may be software or versions of software available on Sapelo2 which are not included in this table. &lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; Click on the icons to the right of the column headings to sort the table.&lt;br /&gt;
[[#0|0-9]] [[#A|A]] [[#B|B]] [[#C|C]] [[#D|D]] [[#E|E]] [[#F|F]] [[#G|G]] [[#H|H]] [[#I|I]] [[#J|J]] [[#K|K]] [[#L|L]] [[#M|M]] [[#N|N]] [[#O|O]] [[#P|P]] [[#Q|Q]] [[#R|R]] [[#S|S]] [[#T|T]] [[#U|U]] [[#V|V]] [[#W|W]] [[#X|X]] [[#Y|Y]] [[#Z|Z]]&lt;br /&gt;
{|  width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot;  cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;  class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; width=&amp;quot;200px&amp;quot;| Name&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; class=&amp;quot;unsortable&amp;quot; width=&amp;quot;240px&amp;quot;| Version&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; width=&amp;quot;160px&amp;quot;| Category&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; width=&amp;quot;60px&amp;quot;| Cluster&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; width=&amp;quot;20px&amp;quot;| Top &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!--LIST BEGIN--&amp;gt;&lt;br /&gt;
&amp;lt;!--| &amp;lt;span id =&amp;quot;0&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[3D-DNA-sapelo2 |3D-DNA]] || 180922 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!--| &amp;lt;span id =&amp;quot;0&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[00Template-sapelo2 |00Template]] || 180922 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[3SEQ-Sapelo2 |3SEQ]] || 1.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[4p-Sapelo2 |4p]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;A&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[ABySS-Sapelo2|ABySS]] || 1.9.0, 2.0.2, 2.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ADMIXTURE-Sapelo2|ADMIXTURE]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[aeneas-Sapelo2|aeneas]] || 1.7.3 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AFNI-Sapelo2|AFNI]] || 17.3.05 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AGAT-Sapelo2|AGAT]] || 0.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AGEnt-Sapelo2|AGEnt]] || 0.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AIM-HII-Sapelo2|AIM-HII]] || 0.5.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[albacore-Sapelo2|Albacore]] || 2.3.4-cp35 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;A&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[AlphaFold-Sapelo2|AlphaFold 2]] || 2.3.1, 2.3.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;A&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[AlphaFold3-Sapelo2|AlphaFold 3]] || 3.0.0, 3.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[AlignGraph-Sapelo2|AlignGraph]] || 20180709 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AlleleSeq_pipeline-Sapelo2|AlleleSeq_pipeline]] || 1.2a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ALLHiC-Sapelo2|ALLHiC]] || 0.8.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Allim-Sapelo2|Allim]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ALLMAPS-Sapelo2|ALLMAPS]] || 20190208 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[AMBER-Sapelo2|AMBER]] || 22.4, 24.3 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AMBER-Teaching|AMBER]] || 22.4, 24.3 || [[:Category:Chemistry|Chemistry]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AMOS-Sapelo2|AMOS]] || 3.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Anaconda2-Sapelo2|Anaconda2]] || 5.0.1, 2018.12, 2019.03 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Anaconda3-Sapelo2|Anaconda3]] || 5.0.1, 2018.12, 2019.03 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ANGEL-Sapelo2|ANGEL]] || 2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[annovar-Sapelo2|annovar]] || 2017Jul16 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:sapelo2|sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ANSYS-Sapelo2|ANSYS]] || 18.2, 19.2 || [[:Category:Engineering|Engineering]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[antiSMASH-Sapelo2|antiSMASH]] || 4.2.0, 5.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:sapelo2|sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[anvi&#039;o-Sapelo2|anvi&#039;o]] || 4, 5.1, 5.3, 5.4, 6.1, 7, 7.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:sapelo2|sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Apollo-Sapelo2|Apollo]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:sapelo2|sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Aragorn-Sapelo2|Aragorn]] || 1.2.38 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Arlequin-Sapelo2|Arlequin]] || 3.5.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ART-Sapelo2|ART]] || 20160605 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ARCS-Sapelo2|ARCS]] || 1.0.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Artemis-Sapelo2|Artemis]] || 17.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Artemis-Teaching|Artemis]] || 17.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ASTRAL-Sapelo2|ASTRAL]] || 5.6.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ATK-Sapelo2|ATk]] || 2.22.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ATLAS-Sapelo2|ATLAS]] || 3.10.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AUGUSTUS-Sapelo2|AUGUSTUS]] || 3.2.3, 3.3.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AUGUSTUS-Teaching|AUGUSTUS]] || 3.2.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AutoVOT-Sapelo2|AutoVOT]] || 0.93 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;B&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[bam2fastx-Sapelo2|bam2fastx]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt; &lt;br /&gt;
| | &amp;lt;span id =&amp;quot;B&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Bactopia-Sapelo2|Bactopia]] || 3.2.0, 4.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BamTools-Sapelo2|BamTools]] || 2.4.1, 2.5.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Barrnap-Sapelo2|Barrnap]] || 0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[basespace-cli-Sapelo2|basespace-cli]] || 1.2.1, 1.7.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Basset-Sapelo2|Basset]] || 20200107 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BayesAss-Sapelo2|BayesAss]] || 3.0.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BayeScan-Sapelo2|BayeScan]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[bax2bam-Sapelo2|bax2bam]] || 0.0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Bazel-Sapelo2|Bazel]] || 0.8.1, 0.11.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BBMap-Sapelo2 |BBMap]] || 37.67, 38.73 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BCFtools-Sapelo2|BCFtools]] || 1.1, 1.3.1, 1.6, 1.8, 1.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BCFtools-Teaching|BCFtools]] || 1.3.1, 1.6, 1.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[bcgTree-Sapelo2|bcgTree]] || 1.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[bcl2fastq-Sapelo2|bcl2fastq]] || 2.20.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|[[Beast-Sapelo2|Beast]] || 1.10.4, 2.6.7, 2.7.3, 2.7.7, 10.5.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BEDOPS-Sapelo2|BEDOPS]] || 2.4.30 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BEDTools-Sapelo2|BEDTools]] || 2.17.0, 2.26.0, 2.28.0, 2.29.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BEDTools-Teaching|BEDTools]] || 2.26.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BerkeleyGW-Sapelo2|BerkeleyGW]] || 2.1 || [[:Category:Physics|Physics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Bioawk-Sapelo2|bioawk]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BioKanga-Sapelo2|BioKanga]] || 21.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Biom-format-Sapelo2|Biom-format]] || 2.1.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BionanoSolve-Sapelo2|BionanoSolve]] || 3.6.1-11162020 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BioPerl-Sapelo2|BioPerl]] || 1.7.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BioPerl-Teaching|BioPerl]] || 1.7.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt; &lt;br /&gt;
| [[BioPython-Sapelo2|BioPython]] || 1.76, 1.79, 1.80, 1.83, 1.84, 1.85 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|[[Biopython-Teaching|Biopython]] || 1.76, 1.79, 1.80, 1.83, 1.84, 1.85 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Bismark-Sapelo2|Bismark]] || 0.20.0, 0.22.1, 0.22.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Bismark-Teaching|Bismark]] || 0.22.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Bison-Sapelo2|Bison]] || 2.7, 3.0.2, 3.0.4 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BLASR-Sapelo2|BLASR]] || 2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[BLAST+-Sapelo2|BLAST+]] || 2.13.0, 2.14.1, 2.16.0, 2.17.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] ||[[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[BLAST+-Teaching|BLAST+]] || 2.13.0, 2.14.1, 2.16.0, 2.17.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[BLAST-Sapelo2|BLAST]] || 2.2.26 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BLAST-Teaching|BLAST]] || 2.2.26 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BLAT-Sapelo2|BLAT]] || 3.4, 3.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BlobTools-Sapelo2|BlobTools]] || 1.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Blosc-Sapelo2|Blosc]] || 1.12.1 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BOLT-LMM-Sapelo2|BOLT-LMM]] || 2.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Boost-Sapelo2|Boost]] || 1.54.0, 1.61.0, 1.63.0, 1.65.1 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Boto3-Sapelo2|Boto3]] || 1.9.14 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Bowtie2-Sapelo2|Bowtie2]] || 2.4.4, 2.4.5, 2.5.1, 2.5.2, 2.5.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Bowtie2-Teaching|Bowtie2]] || 2.4.4, 2.4.5, 2.5.1, 2.5.2, 2.5.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Bowtie-Sapelo2|Bowtie]] || 1.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Bracken-Sapelo2|Bracken]] || 3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[BRAKER-Sapelo2|BRAKER]] || 3.0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[BreakDancer-Sapelo2|BreakDancer]] || 1.4.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[breseq-Sapelo2|breseq]] || 0.34.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BS-Seeker2-Sapelo2|BS-Seeker2]] || 2.1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[BUSCO-Sapelo2|BUSCO]] || 5.8.3, 6.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[BUSCO-Teaching|BUSCO]] || 3.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BWA-Sapelo2|BWA]] || 0.7.15, 0.7.17 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BWA-Teaching|BWA]] || 0.7.17, 0.7.15 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;C&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Caffe-Sapelo2|Caffe]] || 04082018 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;C&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;  [[Cactus-Sapelo2|Cactus]] || 1.2.3, 2.0.3, 2.4.3, 2.4.4, 2.5.0, 2.6.0, 2.6.7, 2.6.9, 2.7.0, 2.9.0, 2.9.3, 2.9.9, 3.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[cairo-Sapelo2|cairo]] || 1.14.6, 1.14.10, 1.14.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Canu-Sapelo2|Canu]] || 2.3||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[canu-Teaching|Canu]] || 1.4, 1.5, 1.6, 1.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CAP-miRSeq-Sapelo2|CAP-miRSeq]] || 05/20184 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CAP3-Sapelo2|CAP3]] || 03092015 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[cBar-Sapelo2|cBar]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CD-HIT-Sapelo2|CD-HIT]] || 4.6.1-2012-08-27, 4.6.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[cDNA_Cupcake-Sapelo2|CDNA_Cupcake]] || 5.9, 7.2, 8.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CDO-Sapelo2|CDO]] || 1.9.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CellProfiler-Sapelo2|CellProfiler]] || 3.1.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cellrange-Sapelo2|Cellrange]] || 3.0.1, 3.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[CellRanger-ATAC-Sapelo2|CellRanger-ATAC]] || 2.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CENSOR-Sapelo2|CENSOR]] || 4.2.29 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CFITSIO-Sapelo2|CFITSIO]] || 3.38 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CFOUR-Sapelo2|CFOUR]] || 1.2, 2.00-beta, 2.1 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CGAL-Sapelo2|CGAL]] || 4.11 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cgmaptools-Sapelo2|Cgmaptools]] || 0.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cgview_comparison_tool-Sapelo2|Cgview_comparison_tool]] || 2017.09.19 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CheckM-Sapelo2|CheckM]] || 1.0.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Chimera-Sapelo2|Chimera]] || 1.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Chimera-Teaching|Chimera]] || 1.16 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Chromosomer-Sapelo2|Chromosomer]] || 0.1.3, 0.1.4a0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Chromosomer-Teaching|Chromosomer]] || 0.1.4a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[circlator-Sapelo2|circlator]] || 1.5.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Circos-Sapelo2|Circos]] || 0.69-6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cleaveland4-Sapelo2|Cleaveland4]] || 4.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Click-Sapelo2|Click]] || 7.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ClonalFrameML-Sapelo2|ClonalFrameML]] || 1.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ClonalOrigin-Sapelo2|ClonalOrigin]] || 0.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Clust-Sapelo2|Clust]] || 1.9.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ClustAGE-Sapelo2|ClustAGE]] || 0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Clustal-Omega-Sapelo2|Clustal-Omega]] || 1.2.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ClustalW2-Sapelo2|ClustalW2]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CMake-Sapelo2|CMake]] || 3.0.0, 3.4.3, 3.5.2, 3.6.1, 3.6.2, 3.7.2, 3.8.0, 3.9.1, 3.9.5, 3.10.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CNIT-Sapelo2|CNIT]] || 2020-05-13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CNVnator-Sapelo2|CNVnator]] || 0.3.3, 0.4.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cogent-Sapelo2|Cogent]] || 3.5, 3.9, 6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Coinfinder-Sapelo2|Coinfinder]] || 1.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CONCOCT-Sapelo2|CONCOCT]] || 1.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Consed-Sapelo2|Consed]] || 29.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[cooler-Sapelo2|cooler]] || 0.8.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CPLEX-Sapelo2|CPLEX]] || 12.6.3 || [[:Category:Engineering|Engineering]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[crest-Sapelo2|crest]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CRISPResso-Sapelo2|CRISPResso]] || 1.0.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[cryoSPARC-Sapelo2|CryoSPARC]] || 3.3.1 || [[:Category:Engineering|Engineering]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
| [[Cromwell-Sapelo2|Cromwell]] || 56 || [[:Category:Tools|Tools]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
|[[CUDA-Sapelo2|CUDA]] || 11.7.0, 11.8.0, 12.1.1, 12.4.0, 12.6.0, 12.8.0, 13.1.0 ||[[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[cuDNN-Sapelo2|cuDNN]] || 7.0.4, 7.2.1.38, 7.4.2.24 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cufflinks-Sapelo2|Cufflinks]] || 2.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cufflinks-Teaching|Cufflinks]] || 2.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[cURL-Sapelo2|cURL]] || 7.49.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[cutadapt-Sapelo2|cutadapt]] || 1.9.1, 1.14, 1.16, 2.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cython-Sapelo2|Cython]] || 0.27.3, 0.28.5 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CythonGSL-Sapelo2|CythonGSL]] || 0.2.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Cytoscape-Sapelo2|Cytoscape]] || 3.9.1, 3.10.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Cytoscape-Teaching|Cytoscape]] || 3.9.1, 3.10.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Teaching]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|-  &lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;D&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Dadi-Sapelo2|Dadi]] || 1.7.0, 2.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Danpos2-Sapelo2|Danpos2]] || 2.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Darknet-Sapelo2|Darknet]] || 3 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DAS_Tool-Sapelo2|DAS_Tool]] || 1.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[datamash-Sapelo2|datamash]] || 1.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DBG2OLC-Sapelo2|DBG2OLC]] || 20170208 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- &amp;lt;!-- | [[DBG2OLC-Teaching|DBG2OLC]] || 20170208 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DDocent-Sapelo2|DDocent]] || 2.7.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DDSCAT-Sapelo2|DDSCAT]] || 7.3.2 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[decontaMiner-Sapelo2|decontaMiner]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[deepTools-Sapelo2|deepTools]] || 3.0.2, 3.2.1, 3.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DeepVariant-Sapelo2|DeepVariant]] || 0.7.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Delft3d-Sapelo2|Delft3d]] || 20190610 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[delineate-Sapelo2|delineate]] || 1.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DendroPy-Sapelo2|DendroPy]] || 4.3.0, 4.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[detectMITE-Sapelo2|detectMITE]] || 20170425 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[detonate-Sapelo2|detonate]] || 1.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DIAMOND-Sapelo2|DIAMOND]] || 0.8.31, 0.9.19, 0.9.22, 0.9.24, 0.9.31 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DIAMOND-Teaching|DIAMOND]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DISCOVARdenovo-Sapelo2|DISCOVARdenovo]] || 52488 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DIYABC-Sapelo2|DIYABC]] || 2.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DiscoVista-Sapelo2|DiscoVista]] || 20190429 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Distruct-Sapelo2|Distruct]] || 2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DLCpar-Sapelo2|DLCpar]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Domainoid-Sapelo2|Domainoid]] || 20200127 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Doxygen-Sapelo2|Doxygen]] || 1.8.7, 1.8.11, 1.8.13 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- |  [[DRAM-bio-Sapelo2|DRAM-bio]] || 1.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|--&amp;gt;&lt;br /&gt;
| [[dMRIharmonization-Sapelo2|dMRIharmonization]] || 20240227 || [[:Category:Engineering|Engineering]]|| [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|--&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[dRep-Sapelo2|dRep]] || 2.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DSSP-Sapelo2|DSSP]] || 3.0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DyNet-Sapelo2|DyNet]] || 2.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DyNet-Teaching|DyNet]] || 2.0.3 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;E&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[EDGE-pro-Sapelo2|EDGE-pro]] || 1.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[EGAPx-Sapelo2|EGAPx]] || N/A || [[:Category:Bioinformatics|Bioinformatics]] || N/A || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[eggNOG-Mapper-Sapelo2|EggNOG-Mapper]] || 1.0.3, 2.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Eigen-Sapelo2|Eigen]] || 3.2.3, 3.3.5 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[EIGENSOFT-Sapelo2|EIGENSOFT]] || 7.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| &amp;lt;span id =&amp;quot;E&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[EIGENSOFT-Teaching|EIGENSOFT]] || 7.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
| [[ESMFold-Sapelo2|ESMFold]] || 20260825 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
| [[Flankophile-Sapelo2|Flankophile]] || N/A || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[EMBOSS-Sapelo2|EMBOSS]] || 6.6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EMBOSS-Teaching|EMBOSS]] || 6.6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EMMAX-Sapelo2|EMMAX beta]] || beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Ensembl-VEP-Sapelo2|Ensembl-VEP]] || 20180914 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EnTAP-Sapelo2|EnTAP]] || 0.8.4 beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[epic2-Sapelo2|epic2]] || 0.0.36 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EricScript-Sapelo2|EricScript]] || 0.5.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ESMF-Sapelo2|ESMF]] || 7.0.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[eSpeak-Sapelo2|eSpeak]] || 1.48.04 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ete-Sapelo2|Ete]] || 3.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EVcouplings-Sapelo2|EVcouplings]] || 0.0.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EVidenceModeler-Sapelo2|EVidenceModeler]] || 0.1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Exonerate-Sapelo2 |Exonerate]] || 2.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Exonerate-Teaching|Exonerate]] || 2.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;F&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; &amp;lt;!-- [[FALCON-Sapelo2|FALCON]] || 02282018_unzip || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Fast-Plast-Sapelo2|Fast-Plast]] || 1.2.6, 1.2.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] |&amp;lt;!-- | [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FASTA-Sapelo2|FASTA]] || 36.3.5e || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[fast-GeP-Sapelo2|fast-GeP]] || 1.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastME-Sapelo2|FastME]] || 2.1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastQC-Sapelo2|FastQC]] || 0.11.5,0.11.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastQValidator-Sapelo2|FastQValidator]] || 0.1.1a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastQ_Screen-Sapelo2|FastQ_Screen]] || 0.14.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[fastSTRUCTURE-Sapelo2|FastSTRUCTURE]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastTree-Sapelo2 |FastTree]] || 2.1.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastViromeExplorer-Sapelo2|FastViromeExplorer]] || 20180918 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FASTX-Toolkit-Sapelo2|FASTX-Toolkit]] || 0.0.14 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FFmpeg-Sapelo2|FFmpeg]] || 3.1.3, 3.4.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FFTW-Sapelo2|FFTW]] || 3.3.4, 3.3.6, 3.3.7 || [[:Category:Math Library|Math Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FIAT-Sapelo2|FIAT]] || 1.6.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[fineSTRUCTURE-Sapelo2|fineSTRUCTURE]] || 2.1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FLASH-Sapelo2|FLASH]] || 1.2.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FLTK-Sapelo2|FLTK]] || 1.3.4 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Flye-Sapelo2|Flye]] || 2.3.6, 2.6, 2.8.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FoX-Sapelo2|FoX]] || 4.1.2 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[freebayes-Sapelo2|Freebayes]] || 1.2.0, 1.3.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[freebayes-Teaching|Freebayes]] || 1.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[freesasa-Sapelo2|freesasa]] || 2.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FriBidi-Sapelo2|FriBidi]] || 1.0.1 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| [[Funannotate-Sapelo2|Funannotate]] || 1.8.15, 1.8.17 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FuzzyWuzzy-Sapelo2|FuzzyWuzzy]] || 0.17.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[fxtract-Sapelo2|fxtract]] || 2.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;G&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[G2gtools-Sapelo2|g2gtools]] || 0.2.9 |&amp;lt;!-- | [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GAG-Sapelo2|GAG]] || 2.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GAG-Teaching|GAG]] || 2.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GAMESS-Sapelo2|GAMESS]] || 14Feb2018 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GapFiller-Sapelo2|GapFiller]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GapFiller-Teaching|GapFiller]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GAPIT-Sapelo2|GAPIT]] || 20180524 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GAPPadder-Sapelo2|GAPPadder]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GARLI-Sapelo2|GARLI]] || 2.01 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GATK-Sapelo2|GATK]] || 3.4-0, 3.8-0, 3.8-1, 4.0.3.0, 4.0.11.0, 4.1.0.0, 4.1.2.0, 4.1.5.0, 4.1.6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GATK-Teaching|GATK]] || 3.8-0, 3.4-0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;G&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;  [[GAUSSIAN-Sapelo2|GAUSSIAN]] || 09, 16 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|[[GAUSSIAN-Teaching|GAUSSIAN]] || 09, 16 || [[:Category:Chemistry|Chemistry]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
| [[GaussView-Sapelo2|GaussView]] || 5, 6.1 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[GaussView-Teaching|GaussView]] || 6.1 || [[:Category:Chemistry|Chemistry]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[GBlocks-Sapelo2|GBlocks]] || 0.91b || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GCTA-Sapelo2 |GCTA]] || 1.26.0, 1.93.0-beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GD-Sapelo2|GD]] || 2.66 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GDAL-Sapelo2|GDAL]] || 2.1.0, 2.2.2 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gdc-client-Sapelo2 |gdc-client]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Gdk-pixbuf-Sapelo2|Gdk-pixbuf]] || 2.36.0 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GEAN-Sapelo2|GEAN]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[GEM-Sapelo2|GEM]] || 1.5.1 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GEM-library-Sapelo2 |GEM-library]] || 20130406-045632 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GeneMark.hmm.eukaryotic-Sapelo2|GeneMark.hmm.eukaryotic]] || 4.30 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[GeneMarkES-Sapelo2|GeneMark-ET]] || 4.71 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!--| [[GeneMarkES-Teaching|GeneMarkES]] || 4.33 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GeneMarkS-T-Sapelo2|GeneMarkS-T]] || 4.33 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GeneMarkS-Sapelo2|GeneMarkS]] || 4.30 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GenericRepeatFinder-Sapelo2|GenericRepeatFinder]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GenMap-Sapelo2|GenMap]] || 1.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Genocore-Sapelo2|Genocore]] || 2020-05-13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Genome-Sapelo2|Genome]] || Phred version: 0.071220.c, Phrap version: 0.990329, Consed version: 29.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GenomeTools-Sapelo2|GenomeTools]] || 1.5.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Genrich-Sapelo2|Genrich]] || 0.5, 0.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GEOS-Sapelo2|GEOS]] || 3.6.2 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GET_HOMOLOGUES-Sapelo2|GET_HOMOLOGUES]] || 1.7.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GET_HOMOLOGUES-Teaching|GET_HOMOLOGUES]] || 1.7.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GET_PHYLOMARKERS-Sapelo2|GET_PHYLOMARKERS]] || 1.2.11, 1.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gfaviz-Sapelo2|gfaviz]] || 1.0.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Gffcompare-Sapelo2|Gffcompare]] || 0.10.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gffread-Sapelo2|gffread]] || 0.9.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GFlow-Sapelo2|GFlow]] || 0.1.7 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Ghostscript-Sapelo2|Ghostscript]] || 9.20, 9.22 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GISTIC-Sapelo2|GISTIC]] || 2.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gkin-Sapelo2|Gkin]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GL2PS-Sapelo2|GL2PS]] || 1.4.0 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GLib-Sapelo2|GLib]] || 2.49.5, 2.53.5, 2.54.3 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GLIMMER-Sapelo2|GLIMMER]] || 3.02b || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GLIMMER-Teaching|GLIMMER]] || 3.02b || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GLPK-Sapelo2|GLPK]] || 4.63, 4.65 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GMAP-GSNAP-Sapelo2|GMAP-GSNAP]] || 2016-11-07, 2018-07-04 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GMP-Sapelo2|GMP]] || 4.3.2, 6.1.1, 6.1.2 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gnuplot-Sapelo2|gnuplot]] || 5.0.5 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GObject-Introspection-Sapelo2|GObject-Introspection]] || 1.49.1, 1.54.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|[[gocryptfs-Sapelo2|gocryptfs]] || 2.2.1, 2.5.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[grace-Sapelo2|grace]] || 5.1.25 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GraftM-Sapelo2|GraftM]] || 0.11.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GraphicsMagicK-Sapelo2|GraphicsMagicK]] || 1.3.28 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Graphviz-Sapelo2|Graphviz]] || 2.40.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GROCSVs-Sapelo2|GROCSVs]] || 0.2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;I&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;  [[GROMACS-Sapelo2 |GROMACS]] ||  2023.4, 2024.4 ||[[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GSL-Sapelo2|GSL]] || 1.16, 2.1, 2.3. 2.4, 2.5 || [[:Category:Math Library|Math Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GStreamer-Sapelo2|GStreamer]] || 1.14.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GTDBTk-Sapelo2|GTDBTk]] || 0.2.2, 1.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gtftogenepred-Sapelo2|gtftogenepred]] || 377-3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GTK+-Sapelo2|GTK+]] || 2.24.31 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GTS-Sapelo2|GTS]] || 0.7.6 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Guile-Sapelo2|Guile]] || 1.8.8 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;H&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[h5py-Sapelo2|h5py]] || 2.7.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HapCUT-Sapelo2|HapCUT]] || 0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HapCUT2-Sapelo2|HapCUT2]] || 20190606 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HarfBuzz-Sapelo2|HarfBuzz]] || 1.3.1, 1.7.5 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HARP-Sapelo2|HARP]] || 140925_103521 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Harvest-Teaching|Harvest]] || 1.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HarvestTools-Sapelo2|HarvestTools]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HH-suite-Sapelo2|HH-suite]] || 3.0-beta.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HiC-Pro-Sapelo2|HiC-Pro]] || 2.11.0-beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Hinge-Sapelo2|Hinge]] || 0.5.0-4-deb_cv1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[hindex-Sapelo2|hindex]] || 1.42 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[HISAT2-Sapelo2|HISAT2]] || 2.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| &amp;lt;span id =&amp;quot;H&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[HISAT2-Teaching|HISAT2]] || 2.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt; &lt;br /&gt;
&amp;lt;!-- | [[HMMER-Sapelo2|HMMER]] || 2.3, 3.1b2, 3.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Homer-Sapelo2|Homer]] || 4.9.1, 4.10, 4.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Homer-Teaching|Homer]] || 4.9.1, 4.10, 4.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[HpcGridRunner-Sapelo2|HPCGridRunner]] || 1.0.2 || [[:Category:Tools|Tools]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[htop-Sapelo2|htop]] || 2.0.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HTSeq-Sapelo2|HTSeq]] || 0.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HTSeq-Teaching|HTSeq]] || 0.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HTSlib-Sapelo2|HTSlib]] || 1.3.2, 1.6, 1.8 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HTStream-Sapelo2|HTStream]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HUMAnN2-Sapelo2|HUMAnN2]] || 0.11.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HybPiper-Sapelo2|HybPiper]] || 1.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HyPhy-Sapelo2|HyPhy]] || 2.5.15 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Hypre-Sapelo2|Hypre]] || 2.11.1 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;I&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[ICORN2-Sapelo2|ICORN2]] || 0.95 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;span id =&amp;quot;I&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[iCommands-Sapelo2|iCommands]] || 4.2.8 || [[:Category:Tools|Tools]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[IDBA-UD-Sapelo2|IDBA-UD]] || 1.1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IDR-Sapelo2|IDR]] || 2.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IgBlast-Sapelo2 | IgBlast]] || 1.16.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IGV-Sapelo2 |IGV]] || 2.4.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IGV-Teaching |IGV]] || 2.4.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IGVTools-Sapelo2 |IGVTools]] || 2.3.98 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[illumiprocessor-Sapelo2 |illumiprocessor]] || 2.0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ImageMagick-Sapelo2|ImageMagick]] || 7.0.5, 7.0.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Infernal-Sapelo2|Infernal]] || 1.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IonCom-Sapelo2|IonCom]] || 20190521  || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[InterProScan-Sapelo2|InterProScan]] || 5.55-88.0, 5.64-96.0, 5.73-104.0, 5.75-106.0, 5.76-107.0 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ipyrad-Sapelo2|ipyrad]] || 0.7.24, 0.7.28, 0.7.30, 0.9.19 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ipyrad-Teaching|Ipyrad]] || 0.7.24 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IPython-Sapelo2|IPython]] || 5.3.0, 6.2.1, 7.5.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[IQ-Tree-Sapelo2|IQ-Tree]] ||  2.2.2.7, 2.3.5, 2.3.6, 3.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[IQ-Tree-Teaching|IQ-Tree]] || 2.2.2.7, 2.3.5, 2.3.6, 3.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[IRMA-Sapelo2|IRMA]] || 0.6.7, 0.9.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ISGPipeline-Sapelo2|ISGPipeline]] || 0.16.10-3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IsONclust-Sapelo2 |IsONclust]] || 0.0.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IsoSeq3-Sapelo2|IsoSeq3]] || 3.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ITSTool-Sapelo2|ITSTool]] || 2.0.4 || [[:Category:Utility|Utility]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;J&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[JAGS-Sapelo2|JAGS]] || 4.3.0 || [[:Category:Statistics|Statistics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[JasPer-Sapelo2|JasPer]] || 1.900.1, 2.0.12 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Java-Sapelo2|Java]] || 1.8.0_92, 1.8.0_112, 1.8.0_121, 1.8.0_141, 1.8.0_144, 1.8.0_202 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;J&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Java-Teaching|Java]] || 1.8.0_241, 1.8.0_311, 8.402, 11.0.20, 17.0.6, 21.0.2, 21.0.5, 25.36 || [[:Category:Programming|Programming]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[jcvi-Sapelo2|jcvi]] || 0.8.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Jellyfish-Sapelo2|Jellyfish]] || 2.2.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[JModelTest-Sapelo2|JModelTest]] || 2.1.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Juicer-Sapelo2|Juicer]] || 1.5.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Julia-Sapelo2|Julia]] || 1.3.1|| [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[JUnit-Sapelo2|JUnit]] || 4.12 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Jupyter-Sapelo2|Jupyter]] || 6.5.6, 7.0.2, 7.2.0, 7.2.3, 7.4.4, 7.4.5, 7.4.7 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
| [[Jupyter-Teaching|Jupyter]] || 6.4.12 || [[:Category:Programming|Programming]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|-&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;K&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Kaiju-Sapelo2|Kaiju]] || 1.6.2, 1.7.3 |&amp;lt;!-- | [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[kallisto-Sapelo2|kallisto]] || 0.43.1, 0.46.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[kallisto-Teaching|kallisto]] || 0.43.1, 0.46.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[KAT-Sapelo2|KAT]] || 2.4.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Kent_tools-Sapelo2|Kent_tools]] || 20190208, 20200512 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[keras-Sapelo2|keras]] || 2.0.6, 2.2.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[KinFin-Sapelo2|KinFin]] || 1.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[KmerGenie-Sapelo2|KmerGenie]] || 1.7044 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[KmerGenie-Teaching|KmerGenie]] || 1.7044 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Kraken2-Sapelo2|Kraken2]] || 2.0.7-beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[KronaTools-Sapelo2|KronaTools]] || 2.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;L&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[LADR-Teaching|LADR]] || 2009-11A || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LAME-Sapelo2|LAME]] || 3.100 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| &amp;lt;span id =&amp;quot;L&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[LAMMPS-Sapelo2|LAMMPS]] || 22Jul2025, 29Aug2024 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[LAPACK-Sapelo2|LAPACK]] || 3.6.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LAST-Sapelo2|LAST]] || 956, 959, 1047 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LASTZ-Sapelo2|LASTZ]] || 1.04.00 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LDhat-Sapelo2|LDhat]] || 2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LDhelmet-Sapelo2|LDhelmet]] || 1.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Leafcutter-Sapelo2|Leafcutter]] || 0.2.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Lep-MAP3-Sapelo2|Lep-MAP3]] || 0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[libssh2-Sapelo2|libssh2]] || 1.9.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LibStatGen-Sapelo2|LibStatGen]] || 1.0.14 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LibTIFF-Sapelo2|LibTIFF]] || 4.0.6, 4.0.8, 4.0.9 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LINKS-Sapelo2|LINKS]] || 1.8.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LittleCMS-Sapelo2|LittleCMS]] || 2.8 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LLVM-Sapelo2|LLVM]] || 3.8.1, 4.0.0, 5.0.1, 6.0.0 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LMDB-Sapelo2|LMDB]] || 0.9.22 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LoFreq-Sapelo2|LoFreq]] || 2.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Log-Log4perl-Sapelo2|Log-Log4perl]] || 1.49 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LongRanger-Sapelo2|LongRanger]] || 2.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LoRDEC-Sapelo2|LoRDEC]] || 0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LoRMA-Sapelo2|LoRMA]] || 0.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LRCstats-Sapelo2|LRCstats]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[lrslib-Sapelo2|lrslib]] || 6.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LS-DYNA-Sapelo2|LS-DYNA]] || 10.123355 || [[:Category:Engineering|Engineering]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LS-PrePost-Sapelo2|LS-PrePost]] || 4.5 || [[:Category:Engineering|Engineering]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LtrDetector-Sapelo2|LtrDetector]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LTR_Finder-Sapelo2|LTR_Finder]] || 1.0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LTR_retriever-Sapelo2|LTR_retriever]] || 1.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LUMPY-Sapelo2|LUMPY]] || 0.2.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LZO-Sapelo2|LZO]] || 2.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;M&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[M4-Sapelo2|M4]] || 1.4.16, 1.4.17, 1.4.17 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MacSyFinder-Sapelo2|MacSyFinder]] || 1.0.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Macs2-Sapelo2|MACS2]] || 2.1.1, 2.1.2, 2.2.7.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MAFFT-Sapelo2|MAFFT]] || 7.273, 7.313, 7.397, 7.407, 7.453, 7.470 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MAFFT-Teaching|MAFFT]] || 7.130, 7.273, 7.313 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Magic-BLAST-Sapelo2|Magic-BLAST]] || 1.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Magma-GPU-Sapelo2|Magma-GPU]] || 2.3.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;M&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Magma-Sapelo2|Magma]] || 2.27-1, 2.28-27 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[mahotas-Sapelo2|mahotas]] || 1.4.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MAJIQ-Sapelo2|MAJIQ]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Maker-Sapelo2|Maker]] || 3.01.04 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[Maker-Teaching|Maker]] || 2.31.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mako-Sapelo2|Mako]] || 1.0.4, 1.0.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MAnorm-Sapelo2|MAnorm]] || 1.1.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MARVEL-Sapelo2|MARVEL]] || 20180918 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mash-Sapelo2|Mash]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MashMap-Sapelo2|MashMap]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MaSIF-Sapelo2|MaSIF]] || 20200722 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MaSuRCA-Sapelo2|MaSuRCA]] || 3.2.2, 3.2.9, 3.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mathematica-Sapelo2|Mathematica]] || 12.1 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[MATLAB-Sapelo2|MATLAB]] || R2023b || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[MatLab-Teaching|Matlab]] || R2018b || [[:Category:Programming|Programming]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Matplotlib-Sapelo2|Matplotlib]] || 1.5.3, 2.0.2, 2.1.0, 2.1.2, 2.2.3, 3.0.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mauve-Sapelo2|Mauve]] || 2015-02-13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Maven-Sapelo2|Maven]] || 3.5.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mawk-Sapelo2|Mawk]] || 1.3.4|| [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MaxBin-Sapelo2|MaxBin]] || 2.2.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MCL-Sapelo2|MCL]] || 14.137 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MCScanX-Sapelo2 |MCScanX]] || 0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Medaka-Sapelo2 |Medaka]] || 0.9.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Medusa-Sapelo2 |Medusa]] || 1.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[MEGA-Sapelo2 |MEGA]] || 7.0.26-1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MEGAHIT-Sapelo2 |MEGAHIT]] || 1.1.1, 1.1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Megalodon-Sapelo2|Megalodon]] || 0.1.0, 1.0.0, 2.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Megam-Teaching|Megam]] || 0.92 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MeGAMerge-Sapelo2|MeGAMerge]] || 3.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MEME-Sapelo2|MEME]] || 4.11.0, 5.0.0_1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Meraculous-Sapelo2|Meraculous]] || 2.2.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mercurial-Sapelo2 |Mercurial]] || 4.4.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mesa-Sapelo2 |Mesa]] || 12.0.2, 17.3.6 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MET-Sapelo2 |MET]] || 7.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MetaBAT-Sapelo2|MetaBAT]] || 2.12.1, 2.15-4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[METABOLIC-Sapelo2|METABOLIC]] || 3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MetaCLADE-Sapelo2|MetaCLADE]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[MetaPhlAn4-Sapelo2|MetaPhlAn4]] || 4.0.3.1, 4.0.6, 4.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[MetaPhlAn2-Sapelo2|MetaPhlAn2]] || 2.7.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[methylpy-Sapelo2|methylpy]] || 1.2.9, 1.3.2, 1.4.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[METIS-Sapelo2|METIS]] || 5.1.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MG-RAST-Tools-Sapelo2 |MG-RAST-Tools]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[minced-Sapelo2|minced]] || 0.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Minia-Sapelo2|Minia]] || 3.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[miniasm-Sapelo2|miniasm]] || 0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[miniasm-Teaching|miniasm]] || 0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Miniconda3-Sapelo2|Miniconda3]] || 4.4.10 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[minimap2-Sapelo2|minimap2]] || 2.10, 2.13, 2.17 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[minimap2-Teaching|minimap2]] || 2.10, 2.13, 2.17 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MinPath-Sapelo2|MinPath]] || 1.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MIonSite-Sapelo2|MIonSite]] || 20190528 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mip-Sapelo2|mip]] || 1.7.3 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mirdeep-p-Sapelo2|mirdeep-p]] || 1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MiRDeep2-Sapelo2|miRDeep2]] || 0.0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[miRDP2-Sapelo2|MiRDP2]] || 1.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MISO-Sapelo2|MISO]] || 0.5.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MITE-Hunter-Sapelo2|MITE-Hunter]] || 11-2011 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MITE-Tracker-Sapelo2|MITE-Tracker]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MITObim-Sapelo2|MITObim]] || 1.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MitoZ-Sapelo2|MitoZ]] || 2.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[mmquant-Sapelo2|mmquant]] || 1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Montreal Forced Aligner-Sapelo2|Montreal Forced Aligner]] || 1.0.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!--&lt;br /&gt;
| [[MOTECC_qmdcp-Teaching|MOTECC_qmdcp]] || 90 || [[:Category:Chemistry|Chemistry]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
| [[Mothur-Sapelo2|Mothur]] || 1.45.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[motif-Sapelo2|motif]] || 2.3.5, 2.3.8 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MPJ-Express-Sapelo2|MPJ-Express]] || 0.44 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MrBayes-Sapelo2|MrBayes]] || 3.2.6, 3.2.7a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[MREPS-Sapelo2|MREPS]] || 1.0.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ms-Teaching|ms]] || 20140304 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MSG-Sapelo2|MSG]] || 0.4.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MSG-Teaching|MSG]] || 0.4.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MSTmap-Sapelo2|MSTmap]] || 20181130 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MultiQC-Sapelo2|MultiQC]] || 1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MUMmer-Sapelo2|MUMmer]] || 3.23, 4.0.0beta2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MUMmer-Teaching|MUMmer]] || 3.23 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MUSCLE-Sapelo2|MUSCLE]] || 3.8.1551, 3.8.31 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MuTect-Sapelo2|MuTect]] || 1.1.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MuTect-Teaching|MuTect]] || 1.1.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[muver-Sapelo2|muver]] || 0.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[mvqtlcim-Sapelo2|mvqtlcim]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MZmine2-Sapelo2|MZmine2]] || 2.40.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| &amp;lt;span id =&amp;quot;N&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Nsight-Compute-CLI-Sapelo2|Nsight Compute CLI]] || 2024.3.0.0, 2025.1.0.0, 2025.4.0.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;N&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[NAL_RNA_seq_annotation-Sapelo2|NAL_RNA_seq_annotation]] ||20200728 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NAMD-Sapelo2|NAMD]] || 2.13 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Nanocorr-Sapelo2|Nanocorr]] || 5.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NanoFilt-Sapelo2|NanoFilt]] || 2.5.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NanoPlot-Sapelo2|NanoPlot]] || 1.26.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Nanopolish-Sapelo2|Nanopolish]] || 0.10.2, 0.11.1, 0.12.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NASM-Sapelo2|NASM]] || 2.11, 2.12, 2.13 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NBO-Sapelo2|NBO]] || 7.0 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NCCL-Sapelo2|NCCL]] || 2.4.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NCL-Sapelo2|NCL]] || 6.4.0, 6.5.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NCL-Teaching|NCL]] || 6.4.0, 6.5.0  || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ncview-Sapelo2|ncview]] || 2.1.7 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NCO-Sapelo2|NCO]] || 4.7.4 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NCO-Teaching|NCO]] || 4.7.4 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Necklace-Sapelo2|Necklace]] || 1.01 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NeEstimator-Sapelo2|NeEstimator]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Neptune-Sapelo2|Neptune]] || 1.2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NetSurfP-Sapelo2|NetSurfP]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Newbler-Sapelo2|Newbler]] || 3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Nextflow-Sapelo2|Nextflow]] || 18.10.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NextGenMap-Sapelo2|NextGenMap]] || 0.5.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ngmlr-Sapelo2|ngmlr]] || 0.2.6-beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NGmerge-Sapelo2|NGmerge]] || 0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NGS-Sapelo2|NGS]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NGSEPcore-Sapelo2|NGSEPcore]] || 3.3.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ngsplot-Sapelo2|ngsplot]] || 2.6.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NGSQCToolkit-Sapelo2|NGSQCToolkit]] || 2.3.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[nhPhyML-Sapelo2|nhPhyML]] || 20180515 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NiBabel-Sapelo2|NiBabel]] || 2.2.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[nistats-Sapelo2|nistats]] || 0.0.1a0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NLopt-Sapelo2|NLopt]] || 2.4.2 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Nseg-Sapelo2|Nseg]] || 20180530 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NucleoATAC-Sapelo2|NucleoATAC]] || 0.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NWChem-Sapelo2|NWChem]] || 6.8 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;O&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[Oases-Sapelo2|Oases]] || 0.2.08, 0.2.09 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OCaml-Sapelo2|OCaml]] || 4.01.0, 4.02.3 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;O&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Ont-Guppy-Sapelo2|Ont-Guppy]] || 6.5.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[OpenBUGS-Sapelo2|OpenBUGS]] || 3.2.3 || [[:Category:Statistics|Statistics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OpenCV-Sapelo2|OpenCV]] || 3.4.1, 3.4.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OpenJPEG-Sapelo2|OpenJPEG]] || 2.3.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OpenSlide-Sapelo2|OpenSlide]] || 3.4.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OpenSlide-Python-Sapelo2|OpenSlide-Python]] || 1.1.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[ORCA-Sapelo2 |ORCA]] || 4.2.1, 5.0.4 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[OrfM-Sapelo2|OrfM]] || 0.6.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OrganelleRef_PBA-Sapelo2|OrganelleRef_PBA]] || 1.0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ORGanelle_ASeMbler-Sapelo2|ORGanelle_ASeMbler]] || 0.2.03 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ORGanelle_ASeMbler-Sapelo2|ORGASM]] || 0.2.03 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|[[ORP-Sapelo2|ORP]] || 2.2.6, 2.2.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[OrthoFinder-Sapelo2|OrthoFinder]] || 2.5.5, 3.1.0, 3.1.5 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OrthoFinder-Teaching|OrthoFinder]] || 2.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OrthoMCL-Sapelo2|OrthoMCL]] || 2.0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;P&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[p7zip-Sapelo2|p7zip]] || 16.02 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PAGIT-Sapelo2|PAGIT]] || 1.64 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pairix-Sapelo2|Pairix]] || 0.3.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pairtools-Sapelo2|pairtools]] || 0.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pal_finder-Sapelo2|Pal_finder]] || 0.02.04 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PAML-Sapelo2|PAML]] || 4.9h || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;P&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[PAML-Teaching|PAML]] || 4.9j, 4.10.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt; &lt;br /&gt;
&amp;lt;!-- | [[PANDAseq-Sapelo2 |PANDAseq]] || 2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pangloss-Sapelo2 |Pangloss]] || 0.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pango-Sapelo2 |Pango]] || 1.40.3, 1.41.1 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Panoply-Sapelo2|Panoply]] || 4.11.6 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Parliament2-Sapelo2|Parliament2]] || 0.1.8, 0.1.11, hgsc || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Parsnp-Sapelo2|Parsnp]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PartitionFinder-Sapelo2|PartitionFinder]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PartitionFinder-Teaching|PartitionFinder]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PanOCT-Sapelo2|PanOCT]] || 3.23 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[PASA-Sapelo2|PASA]] || 2.5.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PASTA-Sapelo2|PASTA]] || 1.8.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PASTA-Teaching|PASTA]] || 1.8.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PAUP-Sapelo2|PAUP]] || 4a165_centos64, 4a166_centos64 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pb-assembly-Sapelo2|Pb-assembly]] || 0.0.2, 0.0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pbh5tools-Sapelo2 |pbh5tools]] || 0.8.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PBLAT-Sapelo2|PBLAT]] || 2.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pbmm2-Sapelo2|pbmm2]] || 1.0.0, 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pcawg-dkfz-workflow-Sapelo2|pcawg-dkfz-workflow]] || 2.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PBSuite-Sapelo2 |PBSuite]] || 15.8.24 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PCRE-Sapelo2 |PCRE]] || 8.38, 8.39, 8.41 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PeakRanger-Sapelo2|PeakRanger]] || 1.18 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PEAR-Sapelo2|PEAR]] || 0.9.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Perl-Sapelo2|Perl]] || 5.34.0, 5.34.1, 5.36.0, 5.36.1, 5.38.0, 5.38.2, 5.40.0, 5.40.2 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Perl-Teaching|Perl]] || 5.34.0, 5.34.1, 5.36.0, 5.36.1, 5.38.0, 5.38.2, 5.40.0, 5.40.2, 5.42.0 || [[:Category:Programming|Programming]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PETSc-Sapelo2|PETSc]] || 3.8.4 || [[:Category:Math Library|Math Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PGDBG-Sapelo2|PGDBG]] || 18.10 || [[:Category:Debugger|Debugger]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PGDSpider-Sapelo2|PGDSpider]] || 2.1.1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhaseGenomics-Sapelo2|PhaseGenomics]] || 20181220 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[phaser-Sapelo2 |phaser]] || 1.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhaseTank-Sapelo2|PhaseTank]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PHASIS-Sapelo2 |PHASIS]] || 3.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Phenix-Sapelo2|Phenix]] || 1.21.2-5419 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[Pong-Sapelo2|Pong]] || 1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
&amp;lt;!-- | [[Phobius-Sapelo2|Phobius]] || 1.01 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Phred/Phrap/Conced-Sapelo2|Phred/Phrap/Conced]] || Phred version: 0.071220.c, Phrap version: 0.990329, Consed version: 29.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Phycas-Sapelo2|Phycas]] || 2.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PHYLIP-Sapelo2|PHYLIP]] || 3.697 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyloBayes-MPI-Sapelo2 |PhyloBayes-MPI]] || 20161021 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyloCSF-Sapelo2 |PhyloCSF]] || 20180919 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyloSift-Sapelo2 |PhyloSift]] || 1.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyloSkeleton-Sapelo2 |PhyloSkeleton]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[phyluce-Sapelo2|Phyluce]] || 1.6.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyML-Sapelo2|PhyML]] || 3.3.20170530 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyParts-Sapelo2|PhyParts]] || 0.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[picard-Sapelo2 |picard]] || 2.16.0, 2.21.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[picard-Teaching|Picard]] || 2.16.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PICRUSt-Sapelo2 |PICRUSt]] || 1.1.3, 2.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pigz-Sapelo2|pigz]] || 2.3.3 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PIL-Sapelo2|PIL]] || 1.1.7 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PILER-Sapelo2|PILER]] || 2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pilon-Sapelo2|Pilon]] || 1.22 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pilon-Teaching|Pilon]] || 1.22 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PlantCV-Sapelo2|PlantCV]] || 3.8.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Platypus-Sapelo2|Platypus]] || 0.8.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PLEK-Sapelo2|PLEK]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PLINK-Sapelo2|PLINK]] || 1.07, 1.9b, 2.0-alpha1, 2.0-alpha2, 2.0-alpha2.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[plmc-Sapelo2|Plmc]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Porechop-Sapelo2|Porechop]] || 0.2.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PoSSuMsearch-Sapelo2|PoSSuMsearch]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pplacer-Sapelo2|Pplacer]] || 1.1.alpha19 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Praat-Sapelo2|Praat]] || 6048-Linux64-nogui || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PRANK-Sapelo2|PRANK]] || 170427 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PRAPI-Sapelo2|PRAPI]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Primer3-Sapelo2|Primer3]] || 2.3.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PRINSEQ-Sapelo2|PRINSEQ]] || 0.20.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ProbABEL-Sapelo2|ProbABEL]] || 0.5.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[prodigal-Sapelo2|Prodigal]] || 2.6.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[progressiveCactus-Sapelo2|progressiveCactus]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ProphET-Sapelo2 |ProphET]] || 20200323 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PROJ-Sapelo2|PROJ]] || 4.9.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Prokka-Sapelo2|Prokka]] || 1.13, 1.14.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Prokka-Teaching|Prokka]] || 1.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[proovread-Sapelo2|proovread]] || 2.14.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[proovread-Teaching|Proovread]] || 2.14.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[protobuf-Sapelo2|protobuf]] || 3.3.0, 3.4.0, 3.6.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LADR-Teaching|prover9]] || 2009-11A || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PSI4-Sapelo2|PSI4]] || 1.3.2 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[psmc-Sapelo2|psmc]] || 0.6.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pVACtools-Sapelo2|pVACtools]] || 1.5.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pyani-Sapelo2|pyani]] || 0.2.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pybedtools-Sapelo2|pybedtools]] || 0.7.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PyCUDA-Sapelo2|PyCUDA]] || 2019.1.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pyDNA-Sapelo2|pyDNA]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pydub-Sapelo2|pydub]] || 0.22.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pyfasta-Sapelo2|pyfasta]] || 0.5.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PyMOL-Sapelo2|PyMOL]] || 2.3.0a0 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PyNBS-Sapelo2 |pyNBS]] || 0.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pynini-Teaching|Pynini]] || 2.0.8 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PyPy-Sapelo2 |PyPy]] || 6.0.0 (2.7.14) || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pysam-Sapelo2 |Pysam]] || 0.10.0, 0.13.0, 0.14.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| [[Python-Sapelo2 |Python]] || 2.7.18, 3.9.6, 3.10.4, 3.10.8, 3.11.3, 3.11.5, 3.12.3, 3.13.1, 3.13.5, 3.14.2 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Python-Teaching|Python]] || 2.7.18, 3.9.6, 3.10.4, 3.10.8, 3.11.3, 3.11.5, 3.12.3, 3.13.1, 3.13.5, 3.14.2  || [[:Category:Programming|Programming]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PyTorch-Sapelo2|PyTorch]] || 0.3.1, 1.0.0, 1.2.0, 1.3.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pyvcf-Sapelo2 |pyvcf]] || 0.6.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pweave-Teaching|Pweave]] || 0.30.3 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;Q&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[q2-brocc-Sapelo2|q2-brocc]] || 2018.6.0.dev0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QCTOOL-Sapelo2|QCTOOL]] || 2.0.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[qiaseq-16S-Sapelo2|qiaseq-16S]] || 20190306 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[QIIME2-Sapelo2|QIIME2]] || 2023.7, 2025.4, 2025.10, 2026.04 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QIIME2-Teaching|QIIME2]] || 2018.4, 2018.6, 2018.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QIIME-Sapelo2|QIIME]] || 1.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QTLcartographer-Sapelo2|QTLcartographer]] || 1.17j || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Qualimap2-Sapelo2|Qualimap2]] || 2.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Quantum Espresso-Sapelo2|Quantum Espresso]] || 6.2.0, 6.3.0-QMCPACK-3.6.0-patch, 6.4.1, 6.5 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QUAST-Sapelo2|QUAST]] || 4.2, 4.6.1, 4.6.3, 5.0.0, 5.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QMCPACK-Sapelo2|QMCPACK]] || 3.6.0 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| &amp;lt;span id =&amp;quot;R&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[R-Sapelo2 |R]] || 4.2.1, 4.3.1, 4.3.2, 4.4.1, 4.4.2, 4.5.1 ||[[:Category:Statistics|Statistics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
| [[R-Teaching|R]] || 4.2.1, 4.3.1, 4.3.2, 4.4.1, 4.4.2, 4.5.1  || [[:Category:Statistics|Statistics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[racon-Sapelo2 |Racon]] || 1.5.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[racon-Teaching |racon]] || 1.4.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RaGOO-Sapelo2|RaGOO]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[randfold-Sapelo2|randfold]] || 2.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RATT-Sapelo2|RATT]] || 20180710 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[RAxML-NG-Sapelo2 |RAxML-NG]] || 1.2.0, 1.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[RAxML-Sapelo2 |RAxML]] || 8.2.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[RAxML-Teaching|RAxML]] || 8.2.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Ray-Sapelo2 |Ray]] || 2.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Rcorrector-Sapelo2|Rcorrector]] || 1.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Realphy-Sapelo2|Realphy]] || 1.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Reapr-Sapelo2|REAPR]] || 1.0.18 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RECON-Sapelo2|RECON]] || 1.08 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RedDog-Sapelo2|RedDog]] || 1beta.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Redundans-Sapelo2|Redundans]] || 0.14a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatExplorer-TAREAN-Sapelo2|RepeatExplorer-TAREAN]] || 11/09/2018 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatMasker-Sapelo2|RepeatMasker]] || 4.0.5, 4.0.7, 4.0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatMasker-Teaching|RepeatMasker]] || 4.0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Repeatmodeler-Sapelo2|Repeatmodeler]] || 1.0.11, 2.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatModeler-Teaching|RepeatModeler]] || 1.0.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatScout-Sapelo2|RepeatScout]] || 1.05 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatScout-Teaching|RepeatScout]] || 1.05 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[REPET-Sapelo2|REPET]] || 2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RESCRIPt-Sapelo2|RESCRIPt]] || 20200805 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RevBayes-Sapelo2|RevBayes]] || 1.0.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[RevBayes-Teaching|RevBayes]] || 1.1.0, 1.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[RGAugury-Sapelo2|RGAugury]] || 20191115 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[rjags-Sapelo2|rjags]] || 4.6 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RMBlast-Sapelo2|RMBlast]] || 2.6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Rmpi-Sapelo2|Rmpi]] || 0.6-6 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RNAmmer-Sapelo2|RNAmmer]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RNAz-Sapelo2|RNAz]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Roary-Sapelo2 |Roary]] || 3.12.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Rosetta-Sapelo2 |Rosetta]] || 2021.16.61629, 2022.46.334 ||[[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RSEM-Sapelo2 |RSEM]] || 1.3.0, 1.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RSeQC-Sapelo2 |RSeQC]] || 3.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Rstudio-Sapelo2|Rstudio]] || 2023.06.1-524 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Ruby-Sapelo2|Ruby]] || 2.5.0 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[runBNG-Sapelo2|runBNG]] || 1.03 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Sailfish-Sapelo2|Sailfish]] || 0.10.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;S&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[Sage-Sapelo2|Sage]] || 8.0, 9.0, 9.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Salmon-Sapelo2|Salmon]] || 0.8.2, 0.10.2, 0.13.1, 0.14.1, 1.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SalmonTools-Sapelo2|SalmonTools]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SALSA-Sapelo2|SALSA]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[sambamba-Sapelo2|sambamba]] || 0.6.6, 0.6.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[samblaster-Sapelo2|samblaster]] || 0.1.24 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SAMtools-Sapelo2|SAMtools]] || 0.1.19, 1.1, 1.3.1, 1.6, 1.9, 1.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;S&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[SAMtools-Teaching|SAMtools]] || 0.1.20, 1.6, 1.13, 1.14, 1.16.1, 1.18, 1.21 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SANN-Sapelo2|SANN]] || 20190528 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[SequenceTubeMap-Sapelo2|sequenceTubeMap]] || 20230906 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:sapelo2|sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[sbt-Sapelo2|sbt]] || 1.1.1 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[scala-Sapelo2|scala]] || 2.12.4 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[scikit-image-Sapelo2|scikit-image]] || 0.13.1, 0.14.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Scoary-Sapelo2|Scoary]] || 1.6.16 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SCons-Sapelo2|SCons]] || 2.5.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SCOTCH-Sapelo2|SCOTCH]] || 6.0.4 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[scram-Sapelo2|scram]] || 0.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[screen_assembly-Sapelo2|screen_assembly]] || 1.2.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SeaDAS-Sapelo2|SeaDAS]] || 7.5.3 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[seaview-Sapelo2|seaview]] || 4.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[selscan-Sapelo2|selscan]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Seq-Gen-Sapelo2|Seq-Gen]] || 1.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SeqKit-Sapelo2|SeqKit]] || 0.10.1, 0.10.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SeqKit-Teaching|SeqKit]] || 0.10.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[seqqs-Sapelo2|seqqs]] || 20140225 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[seqtk-Sapelo2|seqtk]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SGA-Sapelo2|SGA]] || 0.10.15 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Shannon-Sapelo2|Shannon]] || 20190826 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[shapeit-Sapelo2|shapeit]] || v2.r904 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Shasta-Sapelo2|Shasta]] || 0.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ShortStack-Sapelo2|ShortStack]] || 3.8.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Sibelia-Sapelo2|Sibelia]] || 3.0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SICER-Sapelo2|SICER]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SICERpy-Sapelo2|SICERpy]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Sickle-Sapelo2|Sickle]] || 1.33 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SignalP-Sapelo2|SignalP]] || 4.1f || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Silix-Sapelo2|Silix]] || 1.2.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SimLoRD-Sapelo2|SimLoRD]] || 1.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SINE_Scan-Sapelo2|SINE_Scan]] || 1.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[slda-Sapelo2|slda]] || 0.1.6 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[smoke-Sapelo2|smoke]] || 4.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Smoove-Sapelo2|Smoove]] || 0.2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SMRTLINK-Sapelo2|SMRTLINK]] || 5.1.0.26412, 6.0.0.47841, 7.0.1.66975, 8.0.0.79519 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SMRTLINK-Teaching|SMRTLINK]] || 5.0.1.9585, 5.1.0.26412 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Smudgeplot-Sapelo2|Smudgeplot]] || 0.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Snakemake-Sapelo2|Snakemake]] || 5.2.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SNAP-Zoe-Sapelo2|SNAP-Zoe]] || 20060728 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SNAP-Zoe-Teaching|SNAP-Zoe]] || 20060728 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Sniffles-Sapelo2|Sniffles]] || 1.0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SnoReport-Sapelo2|SnoReport]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Snippy-Sapelo2|Snippy]] || 4.4.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SNP-ML-Sapelo2|SNP-ML]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[snpEff-Sapelo2|snpEff]] || 5.0e || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[snpEff-Teaching|SnpEff]] || 4.3t || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SNPhylo-Sapelo2|SNPhylo]] || 20160204 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[snp-sites-Sapelo2|snp-sites]] || 2.5.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SOAPaligner-Sapelo2 |SOAPaligner]] || 2.21 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SOAPdenovo2-Sapelo2|SOAPdenovo2]] || r240 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SOAPdenovo2-Teaching|SOAPdenovo2]] || r240 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[somaticseq-Sapelo2|somaticseq]] || 3.4.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SOP-GPU-Sapelo2|SOP-GPU]] || 20180404 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SortMeRNA-Sapelo2|SortMeRNA]] || 2.1, 3.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SoX-Sapelo2|SoX]] || 14.4.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SPAdes-Sapelo2|SPAdes]] || 3.11.1, 3.12.0, 3.14.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SPAdes-Teaching|SPAdes]] || 3.11.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[spams-Sapelo2|spams]] || 2.6.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Spanki-Sapelo2|Spanki]] || 0.5.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Spark-Sapelo2|Spark]] || 2.2.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Speciesprimer-Sapelo2|Speciesprimer]] || 2.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SpeedSeq-Sapelo2|SpeedSeq]] || 0.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Spine-Sapelo2|Spine]] || 0.3.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SpliceGrapher-Sapelo2|SpliceGrapher]] || 0.2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Splitstree4-Sapelo2|Splitstree4]] || 4.16.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SPM-Sapelo2|SPM]] || 12 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[SRAToolKit-Sapelo2 |SRAToolKit]] || 3.0.1, 3.0.3 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[sRNAWorkbench-Sapelo2|sRNAWorkbench]] || 4.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SSAHA2-Sapelo2 |SSAHA2]] || 2.5.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SSPACE-longread-Teaching|SSPACE-longread]] || 1-1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt; &lt;br /&gt;
&amp;lt;!-- | [[SSPACE-STANDARD-Teaching|SSPACE-STANDARD]] || 3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SSPACE-Sapelo2|SSPACE]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Stacks-Sapelo2|Stacks]] || 1.48, 2.2, 2.3, 2.3b, 2.3d, 2.3e || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Stacks-Teaching|Stacks]] || 2.0, 1.48 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Stampy-Sapelo2|Stampy]] || 1.0.31 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[STAR-Fusion-Sapelo2|STAR-Fusion]] || 1.5.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[STAR-Sapelo2|STAR]] || 2.5.3a, 2.6.0c, 2.6.1c, 2.7.1a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[STAR-Teaching|STAR]] || 2.5.3a, 2.6.0c || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[StrAuto-Sapelo2|StrAuto]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[StringTie-Sapelo2|StringTie]] || 1.3.3, 1.3.4d, 2.0.3, 2.0.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[StringTie-Teaching|StringTie]] || 2.2.3, 3.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
| [[Structure-Sapelo2|Structure]] || 2.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Structure-Teaching|Structure]] || 2.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]]  || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Subread-Sapelo2|Subread]] || 1.6.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SUNTANS-Sapelo2|SUNTANS]] || 20180305 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Supernova-Sapelo2|Supernova]] || 2.0.1, 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SUPPA-Sapelo2|SUPPA]] || 2.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SVDetect-Sapelo2|SVDetect]] || 0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[svtools-Sapelo2|svtools]] || 0.5.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SWIG-Sapelo2|SWIG]] || 3.0.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Synima-Sapelo2|Synima]] || 20181205 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;T&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[Tabix-Sapelo2|Tabix]] || 0.2.6 |&amp;lt;!-- | [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TASSEL-Sapelo2|TASSEL]] || 5.2.44 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Tbl2asn-Sapelo2|Tbl2asn]] || 04172018, 03282019, 05012020 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TCSF_IMRA-Sapelo2|TCSF_IMRA]] || 1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TensorFlow-models-Sapelo2|TensorFlow-models]] || 20180620 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TensorFlow-Sapelo2|TensorFlow]] || 1.8.0, 1.10.1, 1.12.0, 1.14 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Theano-Sapelo2|Theano]] || 0.9.0, 1.0.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TigMint-Sapelo2|TigMint]] || 1.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TMHMM-Sapelo2|TMHMM]] || 2.0c || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[tmux-Sapelo2|tmux]] || 2.9 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Tombo-Sapelo2|Tombo]] || 1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Tophat-Sapelo2|Tophat]] || 2.1.0, 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TopHat-Teaching|TopHat]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[torchvision-Sapelo2|torchvision]] || 0.5.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TPP-Sapelo2|TPP]] || 5.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[tqdm-Sapelo2|tqdm]] || 4.43.0, 4.44.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TransDecoder-Sapelo2|TransDecoder]] || 2.1.0, 5.3.0, 5.5.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Transposome-Sapelo2|Transposome]] || 0.12.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Transrate-Sapelo2|Transrate]] || 1.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Transrate-Sapelo2|Transrate]] || 1.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TreeMix-Sapelo2|TreeMix]] || 1.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TreeTime-Sapelo2|TreeTime]] || 0.6.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[trimAl-Sapelo2|TrimAl]] || 1.4.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Trimmomatic-Sapelo2|Trimmomatic]] || 0.36 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Trimmomatic-Teaching|Trimmomatic]] || 0.36 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Trim_Galore-Sapelo2|Trim_Galore]] || 0.4.5, 0.6.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;T&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Trinity-Sapelo2|Trinity]] || 2.5.1, 2.8.4, 2.8.5, 2.15.1, 2.15.2  || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Trinity-Teaching|Trinity]] || 2.6.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Trinotate-Sapelo2|Trinotate]] || 3.1.1, 3.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[tRNAscan-SE-Sapelo2|TRNAscan-SE]] || 2.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| &amp;lt;span id =&amp;quot;U&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[UBCG-Sapelo2|UBCG]] || 3.0 &lt;br /&gt;
|[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[UCLUST-Sapelo2|UCLUST]] || 1.2.22q || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ucsc-Sapelo2|ucsc]] || 359 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[UMI-tools-Sapelo2|UMI-tools]] || 1.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[UPP-Sapelo2|UPP]] || 3.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[USEARCH-Sapelo2|USEARCH]] || 10.0.240 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Unicycler-Sapelo2|Unicycler]] || 0.4.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;V&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[VarScan-Sapelo2|VarScan]] || 2.4.2 |&amp;lt;!-- | [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[VCF-kit-Sapelo2|VCF-kit]] || 0.1.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[vcf2diploid-Sapelo2|vcf2diploid]] || 0.2.6a || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[vcf2maf-Sapelo2|vcf2maf]] || 20200520 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[vcf2phylip-Sapelo2|vcf2phylip]] || 1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[vcflib-Sapelo2|vcflib]] || 20180410 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[VCFtools-Sapelo2|VCFtools]] || 0.1.15 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[VCFtools-Teaching|VCFtools]] || 0.1.15 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Velvet-Sapelo2|Velvet]] || 1.2.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Velvet-Teaching|Velvet]] || 1.2.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[VelvetOptimiser-Sapelo2|VelvetOptimiser]] || 2.2.5, 2.2.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ViennaRNA-Sapelo2|ViennaRNA]] || 2.4.3, 2.4.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ViewBS-Sapelo2|ViewBS]] || 0.1.7, 0.1.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Vmatch-Sapelo2|Vmatch]] || 2.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[VSEARCH-Sapelo2|VSEARCH]] || 2.8.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;W&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[WGS-Sapelo2|WGS]] || 8.3rc2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WASP-Sapelo2|WASP]] || 0.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WebLogo-Sapelo2|WebLogo]] || 3.6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WEKA-Sapelo2|WEKA]] || 3.8.3 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WPS-Sapelo2|WPS]] || 3.8 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WPS-Teaching|WPS]] || 3.8 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WRF-Chem-Sapelo2|WRF-Chem]] || 3.6.1, 3.8.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WRF-Fire-Sapelo2|WRF-Fire]] || 20170221 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WRF-Sapelo2|WRF]] || 3.6.1, 3.8.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WRF-Teaching|WRF]] || 3.8 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WRFDA-Teaching|WRFDA]] || 3.8 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WU Blast-Sapelo2|WU Blast]] || 2.2.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;X&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[xdot-Teaching|xdot]] || 1.1 || [[:Category:Graphics|Graphics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- |[[xforms-Sapelo2|xforms]] || 1.2.4 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;Y&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[YASRA-Sapelo2|YASRA]] || 2.33 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!--LIST END--&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
[[#top|Back To Top]] [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
&lt;br /&gt;
[[Category:Sapelo2]][[Category:Teaching]][[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23133</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23133"/>
		<updated>2026-08-07T20:58:19Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
3.0.0, 3.0.1, 3.0.2, 3.0.3, 3.0.4&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.2.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.2.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.3&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.3.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.3.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.4&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.4.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU intensive unless you elect to provide your own multiple sequence alignments (MSAs) produced in a separate step beforehand. This means that, for most proteins, it will only run on the A100 and H100 nodes (it has been tested on the L4 nodes but only for fairly small proteins like the example input below) and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). For especially large inputs (i.e., complexes that exceed the &amp;quot;standard&amp;quot; maximum of 5,120 tokens on the A100 and H100 nodes, all of which have 80GB of device memory per GPU device), unified memory has been enabled by default starting with alphafold-3.0.1-unifiedmem.sif and all subsequent versions. Unified memory allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are larger than can be handled with the available device memory alone; however, there are some caveats and considerations:&lt;br /&gt;
* For one, use of this &amp;quot;extra&amp;quot; memory is &amp;lt;b&amp;gt;extremely&amp;lt;/b&amp;gt; slow, often increasing run times from several minutes to several hours; although this mode now works on both H100 and A100 nodes, H100 nodes seem to run faster in this mode than A100 nodes.&lt;br /&gt;
* For another, host memory is the memory you request in your Slurm headers with &amp;quot;#SBATCH --mem=&amp;quot; so you need to make sure you&#039;re accounting for this when submitting a job for a large complex that&#039;s likely to need unified memory: for all unified memory-enabled containers for v3.0.1 and v3.0.2, the default is 3.2 times the amount of device memory per GPU, so 3.2 x 80GB = 256GB, while the containers for v3.0.3 and v3.0.4 have a default of 4.0 times the device memory, or 4.0 x 80GB = 320GB, and memory usage scales not only with input size but also number of sample and diffusion iterations; &amp;lt;b&amp;gt;also, be aware that v3.0.4 introduced several updated dependencies and appears to use significantly more memory than previous versions for the same inputs.&amp;lt;/b&amp;gt;&lt;br /&gt;
* While the above values are the default maximums, it&#039;s possible to adjust them at runtime: if you attempt to model a large complex and receive a &amp;quot;RESOURCE EXHAUSTED&amp;quot; error but &amp;lt;i&amp;gt;not&amp;lt;/i&amp;gt; an &amp;quot;OOM killed&amp;quot; error, you can manually increase the amount of host memory that gets allocated to your AlphaFold command using the &amp;quot;--env XLA_CLIENT_MEM_FRACTION=X.Y&amp;quot; flag after the &amp;quot;--nv&amp;quot; flag (see example command below), where &amp;quot;X&amp;quot; and &amp;quot;Y&amp;quot; are integer values (e.g., &amp;quot;--env XLA_CLIENT_MEM_FRACTION=&amp;lt;b&amp;gt;5.0&amp;lt;/b&amp;gt;&amp;quot;).&lt;br /&gt;
* Finally, please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless; while tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; as of 08/06/2026, this is now available centrally at /db/AlphaFold3/model_parameters/20260604/af3.bin. Both the databases and the model parameters file must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /db/AlphaFold3/model_parameters/20260604:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.1-JSON-4.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can find extensive information on formatting input JSON files &amp;lt;u&amp;gt;[https://github.com/google-deepmind/alphafold3/blob/main/docs/input.md here]&amp;lt;/u&amp;gt;, but the following is a simple example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23132</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23132"/>
		<updated>2026-08-07T20:17:50Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
3.0.0, 3.0.1, 3.0.2, 3.0.3, 3.0.4&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.2.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.2.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.3&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.3.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.3.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.4&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.4.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU intensive unless you elect to provide your own multiple sequence alignments (MSAs) produced in a separate step beforehand. This means that, for most proteins, it will only run on the A100 and H100 nodes (it has been tested on the L4 nodes but only for fairly small proteins like the example input below) and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). For especially large inputs (i.e., complexes that exceed the &amp;quot;standard&amp;quot; maximum of 5,120 tokens on the A100 and H100 nodes, all of which have 80GB of device memory per GPU device), unified memory has been enabled by default starting with alphafold-3.0.1-unifiedmem.sif and all subsequent versions. Unified memory allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are larger than can be handled with the available device memory alone; however, there are some caveats and considerations:&lt;br /&gt;
* For one, use of this &amp;quot;extra&amp;quot; memory is &amp;lt;b&amp;gt;extremely&amp;lt;/b&amp;gt; slow, often increasing run times from several minutes to several hours; although this mode now works on both H100 and A100 nodes, H100 nodes seem to run faster in this mode than A100 nodes.&lt;br /&gt;
* For another, host memory is the memory you request in your Slurm headers with &amp;quot;#SBATCH --mem=&amp;quot; so you need to make sure you&#039;re accounting for this when submitting a job for a large complex that&#039;s likely to need unified memory: for all unified memory-enabled containers for v3.0.1 and v3.0.2, the default is 3.2 times the amount of device memory per GPU, so 3.2 x 80GB = 256GB, while the containers for v3.0.3 and v3.0.4 have a default of 4.0 times the device memory, or 4.0 x 80GB = 320GB; &amp;lt;b&amp;gt;also, be aware that v3.0.4 introduced several updated dependencies and appears to use significantly more memory than previous versions for the same inputs.&amp;lt;/b&amp;gt;&lt;br /&gt;
* While the above values are the default maximums, it&#039;s possible to adjust them at runtime: if you attempt to model a large complex and receive a &amp;quot;RESOURCE EXHAUSTED&amp;quot; error but &amp;lt;i&amp;gt;not&amp;lt;/i&amp;gt; an &amp;quot;OOM killed&amp;quot; error, you can manually increase the amount of host memory that gets allocated to your AlphaFold command using the &amp;quot;--env XLA_CLIENT_MEM_FRACTION=X.Y&amp;quot; flag after the &amp;quot;--nv&amp;quot; flag (see example command below), where &amp;quot;X&amp;quot; and &amp;quot;Y&amp;quot; are integer values (e.g., &amp;quot;--env XLA_CLIENT_MEM_FRACTION=&amp;lt;b&amp;gt;5.0&amp;lt;/b&amp;gt;&amp;quot;).&lt;br /&gt;
* Finally, please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless; while tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; as of 08/06/2026, this is now available centrally at /db/AlphaFold3/model_parameters/20260604/af3.bin. Both the databases and the model parameters file must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /db/AlphaFold3/model_parameters/20260604:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.1-JSON-4.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can find extensive information on formatting input JSON files &amp;lt;u&amp;gt;[https://github.com/google-deepmind/alphafold3/blob/main/docs/input.md here]&amp;lt;/u&amp;gt;, but the following is a simple example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23131</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23131"/>
		<updated>2026-08-07T20:15:33Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
3.0.0, 3.0.1, 3.0.2, 3.0.3, 3.0.4&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.2.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.2.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.3&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.3.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.3.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.4&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.4.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU intensive unless you elect to provide your own multiple sequence alignments (MSAs) produced in a separate step beforehand. This means that, for most proteins, it will only run on the A100 and H100 nodes (it has been tested on the L4 nodes but only for fairly small proteins like the example input below) and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). For especially large inputs (i.e., complexes that exceed the &amp;quot;standard&amp;quot; maximum of 5,120 tokens on the A100 and H100 nodes, all of which have 80GB of device memory per GPU device), unified memory has been enabled by default starting with alphafold-3.0.1-unifiedmem.sif and all subsequent versions. Unified memory allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are larger than can be handled with the available device memory alone; however, there are some caveats and considerations:&lt;br /&gt;
* For one, use of this &amp;quot;extra&amp;quot; memory is &amp;lt;b&amp;gt;extremely&amp;lt;/b&amp;gt; slow, often increasing run times from several minutes to several hours; although this mode now works on both H100 and A100 nodes, H100 nodes seem to run faster in this mode than A100 nodes.&lt;br /&gt;
* For another, host memory is the memory you request in your Slurm headers with &amp;quot;#SBATCH --mem=&amp;quot; so you need to make sure you&#039;re accounting for this when submitting a job for a large complex that&#039;s likely to need unified memory; for all unified memory-enabled containers for v3.0.1 and v3.0.2, the default is 3.2 times the amount of device memory per GPU, so 3.2 x 80GB = 256GB, while the containers for v3.0.3 and v3.0.4 have a default of 4.0 times the device memory, or 4.0 x 80GB = 320GB.&lt;br /&gt;
* While the above values are the default maximums, it&#039;s possible to adjust them at runtime; if you attempt to model a large complex and receive a &amp;quot;RESOURCE EXHAUSTED&amp;quot; error but &amp;lt;i&amp;gt;not&amp;lt;/i&amp;gt; an &amp;quot;OOM killed&amp;quot; error, you can manually increase the amount of host memory that gets allocated to your AlphaFold command using the &amp;quot;--env XLA_CLIENT_MEM_FRACTION=X.Y&amp;quot; flag after the &amp;quot;--nv&amp;quot; flag (see example command below), where &amp;quot;X&amp;quot; and &amp;quot;Y&amp;quot; are integer values (e.g., &amp;quot;--env XLA_CLIENT_MEM_FRACTION=&amp;lt;b&amp;gt;5.0&amp;lt;/b&amp;gt;&amp;quot;).&lt;br /&gt;
* Finally, please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless; while tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; as of 08/06/2026, this is now available centrally at /db/AlphaFold3/model_parameters/20260604/af3.bin. Both the databases and the model parameters file must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /db/AlphaFold3/model_parameters/20260604:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.1-JSON-4.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can find extensive information on formatting input JSON files &amp;lt;u&amp;gt;[https://github.com/google-deepmind/alphafold3/blob/main/docs/input.md here]&amp;lt;/u&amp;gt;, but the following is a simple example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23130</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23130"/>
		<updated>2026-08-07T20:14:16Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Version */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
3.0.0, 3.0.1, 3.0.2, 3.0.3, 3.0.4&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.2.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.2.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.3&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.3.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.3.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.4&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.4.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU intensive unless you elect to provide your own multiple sequence alignments (MSAs) produced in a separate step beforehand. This means that, for most proteins, it will only run on the A100 and H100 nodes (it has been tested on the L4 nodes but only for fairly small proteins like the example input below) and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). For especially large inputs (i.e., complexes that exceed the &amp;quot;standard&amp;quot; maximum of 5,120 tokens on the A100 and H100 nodes, all of which have 80GB of device memory per GPU device), unified memory has been enabled by default starting with alphafold-3.0.1-unifiedmem.sif and all subsequent versions. Unified memory allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are larger than can be handled with the available device memory alone; however, there are some caveats and considerations:&lt;br /&gt;
* For one, use of this &amp;quot;extra&amp;quot; memory is &amp;lt;b&amp;gt;extremely&amp;lt;/b&amp;gt; slow, often increasing run times from several minutes to several hours; although this mode now works on both H100 and A100 nodes, H100 nodes seem to run faster in this mode than A100 nodes.&lt;br /&gt;
* For another, host memory is the memory you request in your Slurm headers with &amp;quot;#SBATCH --mem=&amp;quot; so you need to make sure you&#039;re accounting for this when submitting a job for a large complex that&#039;s likely to need unified memory; for all unified memory-enabled containers for v3.0.1 and v3.0.2, the default is 3.2 times the amount of device memory per GPU, so 3.2 x 80GB = 256GB, while the contains for v3.0.3 and v3.0.4 have a default of 4.0 times the device memory, or 4.0 x 80GB = 320GB.&lt;br /&gt;
* While the above values are the default maximums, it&#039;s possible to adjust them at runtime; if you attempt to model a large complex and receive a &amp;quot;RESOURCE EXHAUSTED&amp;quot; error but &amp;lt;i&amp;gt;not&amp;lt;/i&amp;gt; an &amp;quot;OOM killed&amp;quot; error, you can manually increase the amount of host memory that gets allocated to your AlphaFold command using the &amp;quot;--env XLA_CLIENT_MEM_FRACTION=X.Y&amp;quot; flag after the &amp;quot;--nv&amp;quot; flag (see example command below), where &amp;quot;X&amp;quot; and &amp;quot;Y&amp;quot; are integer values (e.g., &amp;quot;--env XLA_CLIENT_MEM_FRACTION=&amp;lt;b&amp;gt;5.0&amp;lt;/b&amp;gt;&amp;quot;).&lt;br /&gt;
* Finally, please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless; while tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; as of 08/06/2026, this is now available centrally at /db/AlphaFold3/model_parameters/20260604/af3.bin. Both the databases and the model parameters file must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /db/AlphaFold3/model_parameters/20260604:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.1-JSON-4.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can find extensive information on formatting input JSON files &amp;lt;u&amp;gt;[https://github.com/google-deepmind/alphafold3/blob/main/docs/input.md here]&amp;lt;/u&amp;gt;, but the following is a simple example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23129</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23129"/>
		<updated>2026-08-07T20:07:25Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
3.0.0, 3.0.1, 3.0.2, 3.0.3&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.2.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.2.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.3&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.3.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.3.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.4&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.4.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU intensive unless you elect to provide your own multiple sequence alignments (MSAs) produced in a separate step beforehand. This means that, for most proteins, it will only run on the A100 and H100 nodes (it has been tested on the L4 nodes but only for fairly small proteins like the example input below) and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). For especially large inputs (i.e., complexes that exceed the &amp;quot;standard&amp;quot; maximum of 5,120 tokens on the A100 and H100 nodes, all of which have 80GB of device memory per GPU device), unified memory has been enabled by default starting with alphafold-3.0.1-unifiedmem.sif and all subsequent versions. Unified memory allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are larger than can be handled with the available device memory alone; however, there are some caveats and considerations:&lt;br /&gt;
* For one, use of this &amp;quot;extra&amp;quot; memory is &amp;lt;b&amp;gt;extremely&amp;lt;/b&amp;gt; slow, often increasing run times from several minutes to several hours; although this mode now works on both H100 and A100 nodes, H100 nodes seem to run faster in this mode than A100 nodes.&lt;br /&gt;
* For another, host memory is the memory you request in your Slurm headers with &amp;quot;#SBATCH --mem=&amp;quot; so you need to make sure you&#039;re accounting for this when submitting a job for a large complex that&#039;s likely to need unified memory; for all unified memory-enabled containers for v3.0.1 and v3.0.2, the default is 3.2 times the amount of device memory per GPU, so 3.2 x 80GB = 256GB, while the contains for v3.0.3 and v3.0.4 have a default of 4.0 times the device memory, or 4.0 x 80GB = 320GB.&lt;br /&gt;
* While the above values are the default maximums, it&#039;s possible to adjust them at runtime; if you attempt to model a large complex and receive a &amp;quot;RESOURCE EXHAUSTED&amp;quot; error but &amp;lt;i&amp;gt;not&amp;lt;/i&amp;gt; an &amp;quot;OOM killed&amp;quot; error, you can manually increase the amount of host memory that gets allocated to your AlphaFold command using the &amp;quot;--env XLA_CLIENT_MEM_FRACTION=X.Y&amp;quot; flag after the &amp;quot;--nv&amp;quot; flag (see example command below), where &amp;quot;X&amp;quot; and &amp;quot;Y&amp;quot; are integer values (e.g., &amp;quot;--env XLA_CLIENT_MEM_FRACTION=&amp;lt;b&amp;gt;5.0&amp;lt;/b&amp;gt;&amp;quot;).&lt;br /&gt;
* Finally, please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless; while tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; as of 08/06/2026, this is now available centrally at /db/AlphaFold3/model_parameters/20260604/af3.bin. Both the databases and the model parameters file must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /db/AlphaFold3/model_parameters/20260604:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.1-JSON-4.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can find extensive information on formatting input JSON files &amp;lt;u&amp;gt;[https://github.com/google-deepmind/alphafold3/blob/main/docs/input.md here]&amp;lt;/u&amp;gt;, but the following is a simple example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23128</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23128"/>
		<updated>2026-08-07T20:06:44Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
3.0.0, 3.0.1, 3.0.2, 3.0.3&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.2.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.2.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.3&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.3.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.3.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.4&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.4.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU intensive unless you elect to provide your own multiple sequence alignments (MSAs) produced in a separate step beforehand. This means that, for most proteins, it will only run on the A100 and H100 nodes (it has been tested on the L4 nodes but only for fairly small proteins like the example input below) and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). For especially large inputs (i.e., complexes that exceed the &amp;quot;standard&amp;quot; maximum of 5,120 tokens on the A100 and H100 nodes, all of which have 80GB of device memory per GPU device), unified memory has been enabled by default starting with alphafold-3.0.1-unifiedmem.sif and all subsequent versions. Unified memory allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are larger than can be handled with the available device memory alone; however, there are some caveats and considerations:&lt;br /&gt;
* For one, use of this &amp;quot;extra&amp;quot; memory is &amp;lt;b&amp;gt;extremely&amp;lt;/b&amp;gt; slow, often increasing run times from several minutes to several hours; although this mode now works on both H100 and A100 nodes, H100 nodes seem to run faster in this mode than A100 nodes.&lt;br /&gt;
* For another, host memory is the memory you request in your Slurm headers with &amp;quot;#SBATCH --mem=&amp;quot; so you need to make sure you&#039;re accounting for this when submitting a job for a large complex that&#039;s likely to need unified memory; for all unified memory-enabled containers for v3.0.1 and v3.0.2, the default is 3.2 times the amount of device memory per GPU, so 3.2 x 80GB = 256GB, while the contains for v3.0.3 and v3.0.4 have a default of 4.0 times the device memory, or 4.0 x 80GB = 320GB.&lt;br /&gt;
* While the above values are the default maximums, it&#039;s possible to adjust them at runtime; if you attempt to model a large complex and receive a &amp;quot;RESOURCE EXHAUSTED&amp;quot; error but &amp;lt;i&amp;gt;not&amp;lt;/i&amp;gt; an &amp;quot;OOM killed&amp;quot; error, you can manually increase the amount of host memory that gets allocated to your AlphaFold command using the &amp;quot;--env XLA_CLIENT_MEM_FRACTION=X.Y&amp;quot; flag after the &amp;quot;--nv&amp;quot; flag (see example command below), where &amp;quot;X&amp;quot; and &amp;quot;Y&amp;quot; are integer values (e.g., &amp;quot;--env XLA_CLIENT_MEM_FRACTION=&amp;lt;b&amp;gt;5.0&amp;lt;/b&amp;gt;&amp;quot;).&lt;br /&gt;
* Finally, please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless; while tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; as of 08/06/2026, this is now available centrally at /db/AlphaFold3/model_parameters/20260604/af3.bin. Both the databases and the model parameters file must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /db/AlphaFold3/model_parameters/20260604:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.1-JSON-4.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can find extensive information on formatting input JSON files &amp;lt;u&amp;gt;[https://github.com/google-deepmind/alphafold3/blob/main/docs/input.md here]&amp;lt;/u&amp;gt;, but the following is a simple example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23127</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23127"/>
		<updated>2026-08-07T20:04:28Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
3.0.0, 3.0.1, 3.0.2, 3.0.3&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.2.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.2.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.3&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.3.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.3.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.4&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.4.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU intensive unless you elect to provide your own multiple sequence alignments (MSAs) produced in a separate step beforehand. This means that, for most proteins, it will only run on the A100 and H100 nodes (it has been tested on the L4 nodes but only for fairly small proteins like the example input below) and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). For especially large inputs (i.e., complexes that exceed the &amp;quot;standard&amp;quot; maximum of 5,120 tokens on the A100 and H100 nodes, all of which have 80GB of device memory), unified memory has been enabled by default starting with alphafold-3.0.1-unifiedmem.sif and all subsequent versions. Unified memory allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are larger than can be handled with the available device memory alone; however, there are some caveats and considerations:&lt;br /&gt;
* For one, use of this &amp;quot;extra&amp;quot; memory is &amp;lt;b&amp;gt;extremely&amp;lt;/b&amp;gt; slow, often increasing run times from several minutes to several hours; although this mode now works on both H100 and A100 nodes, H100 nodes seem to run faster in this mode than A100 nodes.&lt;br /&gt;
* For another, host memory is the memory you request in your Slurm headers with &amp;quot;#SBATCH --mem=&amp;quot; so you need to make sure you&#039;re accounting for this when submitting a job for a large complex that&#039;s likely to need unified memory; for all unified memory-enabled containers for v3.0.1 and v3.0.2, the default is 3.2 times the amount of device memory per GPU, so 3.2 x 80GB = 256GB, while the contains for v3.0.3 and v3.0.4 have a default of 4.0 times the device memory, or 4.0 x 80GB = 320GB.&lt;br /&gt;
* While the above values are the default maximums, it&#039;s possible to adjust them at runtime; if you attempt to model a large complex and receive a &amp;quot;RESOURCE EXHAUSTED&amp;quot; error but &amp;lt;i&amp;gt;not&amp;lt;/i&amp;gt; an &amp;quot;OOM killed&amp;quot; error, you can manually increase the amount of host memory that gets allocated to your AlphaFold command using the &amp;quot;--env XLA_CLIENT_MEM_FRACTION=X.Y&amp;quot; flag after the &amp;quot;--nv&amp;quot; flag (see example command below), where &amp;quot;X&amp;quot; and &amp;quot;Y&amp;quot; are integer values (e.g., &amp;quot;--env XLA_CLIENT_MEM_FRACTION=&amp;lt;b&amp;gt;5.0&amp;lt;/b&amp;gt;&amp;quot;).&lt;br /&gt;
* Finally, please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless; while tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; as of 08/06/2026, this is now available centrally at /db/AlphaFold3/model_parameters/20260604/af3.bin. Both the databases and the model parameters file must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /db/AlphaFold3/model_parameters/20260604:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.1-JSON-4.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can find extensive information on formatting input JSON files &amp;lt;u&amp;gt;[https://github.com/google-deepmind/alphafold3/blob/main/docs/input.md here]&amp;lt;/u&amp;gt;, but the following is a simple example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23126</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23126"/>
		<updated>2026-08-06T17:14:32Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
3.0.0, 3.0.1, 3.0.2, 3.0.3&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.2.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.2.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.3&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.3.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.3.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU and memory intensive, meaning that it will only run on the A100 and H100 nodes and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). &amp;lt;b&amp;gt;Furthemore, the &amp;quot;unifiedmem&amp;quot; and &amp;quot;JSON-4&amp;quot; versions have unified memory enabled, which allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are large enough to exceed the standard maximum of 5,120 tokens; not only does this substantially increase run times, it will also &amp;lt;i&amp;gt;only&amp;lt;/i&amp;gt; work on the A100 nodes due to architectural conflicts with the H100 nodes. To use either of these versions with a large protein or other complex, please use the following Slurm header in your submission script in place of the corresponding &amp;quot;--gres&amp;quot; header seen in the sample job below (and note that you can remove the &amp;quot;#SBATCH --constraint&amp;quot; header for this):&amp;lt;/b&amp;gt;&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
...&lt;br /&gt;
#SBATCH --gres=gpu:A100:1&lt;br /&gt;
...&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless. While tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; as of 08/06/2026, these are now available centrally at /db/AlphaFold3/model_parameters/20260604/af3.bin. Both the databases and the model parameters file must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /db/AlphaFold3/model_parameters/20260604:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.1-JSON-4.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can find extensive information on formatting input JSON files &amp;lt;u&amp;gt;[https://github.com/google-deepmind/alphafold3/blob/main/docs/input.md here]&amp;lt;/u&amp;gt;, but the following is a simple example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23125</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23125"/>
		<updated>2026-08-06T17:12:47Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
3.0.0, 3.0.1, 3.0.2, 3.0.3&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.2.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.2.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.3&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.3.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.3.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU and memory intensive, meaning that it will only run on the A100 and H100 nodes and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). &amp;lt;b&amp;gt;Furthemore, the &amp;quot;unifiedmem&amp;quot; and &amp;quot;JSON-4&amp;quot; versions have unified memory enabled, which allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are large enough to exceed the standard maximum of 5,120 tokens; not only does this substantially increase run times, it will also &amp;lt;i&amp;gt;only&amp;lt;/i&amp;gt; work on the A100 nodes due to architectural conflicts with the H100 nodes. To use either of these versions with a large protein or other complex, please use the following Slurm header in your submission script in place of the corresponding &amp;quot;--gres&amp;quot; header seen in the sample job below (and note that you can remove the &amp;quot;#SBATCH --constraint&amp;quot; header for this):&amp;lt;/b&amp;gt;&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
...&lt;br /&gt;
#SBATCH --gres=gpu:A100:1&lt;br /&gt;
...&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless. While tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; as of 08/06/2026, these are now available centrally at /db/AlphaFold3/model_parameters/20260604/af3.bin. Both the databases and the model parameters file must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /Path/to/model_parameters:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.1-JSON-4.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can find extensive information on formatting input JSON files &amp;lt;u&amp;gt;[https://github.com/google-deepmind/alphafold3/blob/main/docs/input.md here]&amp;lt;/u&amp;gt;, but the following is a simple example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23101</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=23101"/>
		<updated>2026-07-28T18:14:50Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Version */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
== Category ==&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
== Program On ==&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
== Version ==&lt;br /&gt;
3.0.0, 3.0.1, 3.0.2, 3.0.3&lt;br /&gt;
&lt;br /&gt;
== Author / Distributor ==&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
== Description ==&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
== Running Program ==&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU and memory intensive, meaning that it will only run on the A100 and H100 nodes and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). &amp;lt;b&amp;gt;Furthemore, the &amp;quot;unifiedmem&amp;quot; and &amp;quot;JSON-4&amp;quot; versions have unified memory enabled, which allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are large enough to exceed the standard maximum of 5,120 tokens; not only does this substantially increase run times, it will also &amp;lt;i&amp;gt;only&amp;lt;/i&amp;gt; work on the A100 nodes due to architectural conflicts with the H100 nodes. To use either of these versions with a large protein or other complex, please use the following Slurm header in your submission script in place of the corresponding &amp;quot;--gres&amp;quot; header seen in the sample job below (and note that you can remove the &amp;quot;#SBATCH --constraint&amp;quot; header for this):&amp;lt;/b&amp;gt;&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
...&lt;br /&gt;
#SBATCH --gres=gpu:A100:1&lt;br /&gt;
...&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless. While tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; currently this is only available directly from Google, and can be obtained by completing the form found here: https://docs.google.com/forms/d/e/1FAIpQLSfWZAgo1aYk0O4MuAXZj8xRQ8DafeFJnldNOnh_13qAx2ceZw/viewform. Once these are obtained and placed somewhere in your storage space on Sapelo2 (/home or /work is recommended), they must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /Path/to/model_parameters:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.1-JSON-4.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can find extensive information on formatting input JSON files &amp;lt;u&amp;gt;[https://github.com/google-deepmind/alphafold3/blob/main/docs/input.md here]&amp;lt;/u&amp;gt;, but the following is a simple example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
== Documentation ==&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Bioinformatics_Databases&amp;diff=23000</id>
		<title>Bioinformatics Databases</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Bioinformatics_Databases&amp;diff=23000"/>
		<updated>2026-05-11T19:38:43Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Installed Bioinformatics Databases */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;As part of our services, the GACRC builds and hosts local copies of frequently cited application data, and provides assistance for sharing data among GACRC members.  Datasets are located in the commonly shared &amp;quot;/db&amp;quot; filesystem. [[BLAST Databases-Sapelo2 | NCBI BLAST datasets]] are pre-formatted to work with BLAST and BLAST+ and are located in &amp;quot;/db/ncbiblast/&amp;quot; and are organized by date. &lt;br /&gt;
&lt;br /&gt;
NCBI BLAST Datasets can be loaded in the same way as software modules. This allows users to replicate results by always being able to use a time stamped version of a database. The time stamp corresponds to the download date of the dataset. To search for available NCBI BLAST dataset modules run the command:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;ml spider ncbiblastdb&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can then load a database by running the command module load. For example to load the databases timestamped at 05/02/2025:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;module load ncbiblastdb/20250502&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Loading this module sets the environment variable BLASTDB to /db/ncbiblast/20250502. This allows BLAST+ to search that directory for databases. You can then use the name of the database you would like to use.(nt, nr, etc.) Here is an example of a shell script to run BLAST+ on the batch queue using the database nt:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=j_BLAST+&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=&amp;lt;u&amp;gt;1&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;10gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=BLAST+.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=BLAST+.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
module load BLAST+/2.16.0-gompi-2024a&amp;lt;br&amp;gt;  &lt;br /&gt;
module load ncbiblastdb/20250502&amp;lt;br&amp;gt;  &lt;br /&gt;
blastn -query example.fasta -out results.out -db nt&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In your actual submission script, use your own discretion for the Slurm header values.              &lt;br /&gt;
&lt;br /&gt;
NCBI&#039;s nr and nt datasets are the most commonly used at the GACRC. GACRC staff will update these datasets &#039;&#039;&#039;every 3 months&#039;&#039;&#039; as well as other NCBI BLAST datasets: cdd_delta, human_genome, mouse_genome, nrte, refseq_protein, refseq_rna, swissprot, and taxdb datasets.&lt;br /&gt;
&lt;br /&gt;
Various subject datasets, e.g. pfam, bowtie indexes of human and mouse, and NCBI bacterial datasets, are hosted as well. However, these datasets are not accessed with a module. These datasets either don’t need updating, the source does not update frequently, or the datasets are not used frequently by our users. These datasets will only be updated by user request.&lt;br /&gt;
Instead of using a module, to use these databases, use the path to the databases in your script. Below is an example using BLAST+ with a dataset not available as a module.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=j_BLAST+&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=&amp;lt;u&amp;gt;1&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;10gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=BLAST+.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=BLAST+.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
module load BLAST+/2.13.0-gompi-2022a&amp;lt;br&amp;gt;    &lt;br /&gt;
blastn -query example.fasta -out results.out -db /db/ncbiblast/refseq_microbial/fasta/09162020/ &amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For datasets requested by individual lab groups, GACRC encourages users to maintain their own copies of databases, whose files can be installed in their group&#039;s shared &amp;quot;/work&amp;quot; area.&lt;br /&gt;
Similarly for datasets frequently updated by their source, the GACRC encourages users to maintain their own copies of these public databases.&lt;br /&gt;
&lt;br /&gt;
The set of data which are regularly updated is open to review, and can be expanded based on available GACRC resources.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Installed Bioinformatics Databases ==&lt;br /&gt;
{|  border=&amp;quot;1&amp;quot;  cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;  class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Name&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; class=&amp;quot;unsortable&amp;quot; | Latest Date (Version) &lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Module Available &lt;br /&gt;
|-&lt;br /&gt;
| [[AlphaFold-Sapelo2 | AlphaFold]] ||  09/03/2023 (v2.3.4) || no&lt;br /&gt;
|-&lt;br /&gt;
| [[AlphaFold3-Sapelo2 | AlphaFold3]] ||  01/14/2025 (&amp;quot;20241114&amp;quot;) || no&lt;br /&gt;
|-&lt;br /&gt;
| AlphaPulldown ||  02/28/2025 (v2.0.0) || no&lt;br /&gt;
|-&lt;br /&gt;
|bakta&lt;br /&gt;
|05/08/2025 (&amp;quot;20250224&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|beav&lt;br /&gt;
|09/19/2024 (v1.4.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|[[Bowtie2-Sapelo2 | bowtie2]]&lt;br /&gt;
|09/12/2024&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|[[Bracken-Sapelo2 | Bracken]]&lt;br /&gt;
|08/27/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|checkv&lt;br /&gt;
|01/10/2023 (v1.5)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| DRAM_data ||  03/12/2026 || no&lt;br /&gt;
|-&lt;br /&gt;
| eggnog-mapper || 05/05/2025 (v2.1.12)  || no&lt;br /&gt;
|-&lt;br /&gt;
|EnTAP&lt;br /&gt;
|06/09/2025 (v2.2.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|EUKulele&lt;br /&gt;
|04/15/2025 (&amp;quot;phylodb&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|FA-nf&lt;br /&gt;
|04/09/2025 (v0.4.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|foldseek&lt;br /&gt;
|08/08/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| [[Funannotate-Sapelo2 | funannotate]] || 01/28/2025 (v1.8.17)  || no&lt;br /&gt;
|-&lt;br /&gt;
|GAMD&lt;br /&gt;
|04/17/2025 (&amp;quot;20220215&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| GTDB-Tk || 05/16/2025 (release226)  || no&lt;br /&gt;
|-&lt;br /&gt;
|GToTree&lt;br /&gt;
|11/25/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|GetOrganelle&lt;br /&gt;
|01/13/2022&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| humann || 03/26/2023 (v3.6/v3.9)  || no&lt;br /&gt;
|-&lt;br /&gt;
| [[InterProScan-Sapelo2 | InterProScan]] || 04/07/2025 (v5.55-88.0)  || no&lt;br /&gt;
|-&lt;br /&gt;
|Kraken2 (PlusPF, PlusPFP, PlusPFP-16, core_nt, EuPathDB, GTDB)&lt;br /&gt;
|08/14/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| MaarjAM || 11/20/2024  || no&lt;br /&gt;
|-&lt;br /&gt;
| MetaMaps || 11/03/2021 (v0.1)  || no&lt;br /&gt;
|-&lt;br /&gt;
|metawrap&lt;br /&gt;
|01/30/2026&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| [[BLAST Databases-Sapelo2 |NCBI BLAST Databases]]|| First week of Feb., May, Aug., &amp;amp; Nov. || yes&lt;br /&gt;
|-&lt;br /&gt;
|NCBI-FCS&lt;br /&gt;
|12/01/2023 (v0.5.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| [[PfamDB-Sapelo2|pfam]]|| 12/18/2021 (v34.0) || no&lt;br /&gt;
|-&lt;br /&gt;
| PHASTEST || 02/01/2024  || no&lt;br /&gt;
|-&lt;br /&gt;
| QIIME (SILVA v138.2) ||   10/20/2025|| no&lt;br /&gt;
|-&lt;br /&gt;
| repbase || 02/03/2025 (v28.12)  || no&lt;br /&gt;
|-&lt;br /&gt;
| RoseTTAFold || 11/20/2024 (v1.0.0)  || no&lt;br /&gt;
|-&lt;br /&gt;
| sortmerna || 03/04/2016  || no&lt;br /&gt;
|-&lt;br /&gt;
| trinotate || 10/16/2023  || no&lt;br /&gt;
|-&lt;br /&gt;
| [[Uniprot-Sapelo2|Uniprot]]|| 11/21/2024 (&amp;quot;20230615&amp;quot;)   || no&lt;br /&gt;
|-&lt;br /&gt;
| [[Uniref-Sapelo2|Uniref]]|| 03/31/2026 || no&lt;br /&gt;
|-&lt;br /&gt;
|VFDB&lt;br /&gt;
|06/30/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|VirSorter&lt;br /&gt;
|11/12/2020 (&amp;quot;20230609&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|virulencefinder&lt;br /&gt;
|05/06/2024&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Bioinformatics_Databases&amp;diff=22998</id>
		<title>Bioinformatics Databases</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Bioinformatics_Databases&amp;diff=22998"/>
		<updated>2026-05-11T19:32:55Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Installed Bioinformatics Databases */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;As part of our services, the GACRC builds and hosts local copies of frequently cited application data, and provides assistance for sharing data among GACRC members.  Datasets are located in the commonly shared &amp;quot;/db&amp;quot; filesystem. [[BLAST Databases-Sapelo2 | NCBI BLAST datasets]] are pre-formatted to work with BLAST and BLAST+ and are located in &amp;quot;/db/ncbiblast/&amp;quot; and are organized by date. &lt;br /&gt;
&lt;br /&gt;
NCBI BLAST Datasets can be loaded in the same way as software modules. This allows users to replicate results by always being able to use a time stamped version of a database. The time stamp corresponds to the download date of the dataset. To search for available NCBI BLAST dataset modules run the command:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;ml spider ncbiblastdb&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can then load a database by running the command module load. For example to load the databases timestamped at 05/02/2025:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;module load ncbiblastdb/20250502&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Loading this module sets the environment variable BLASTDB to /db/ncbiblast/20250502. This allows BLAST+ to search that directory for databases. You can then use the name of the database you would like to use.(nt, nr, etc.) Here is an example of a shell script to run BLAST+ on the batch queue using the database nt:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=j_BLAST+&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=&amp;lt;u&amp;gt;1&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;10gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=BLAST+.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=BLAST+.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
module load BLAST+/2.16.0-gompi-2024a&amp;lt;br&amp;gt;  &lt;br /&gt;
module load ncbiblastdb/20250502&amp;lt;br&amp;gt;  &lt;br /&gt;
blastn -query example.fasta -out results.out -db nt&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In your actual submission script, use your own discretion for the Slurm header values.              &lt;br /&gt;
&lt;br /&gt;
NCBI&#039;s nr and nt datasets are the most commonly used at the GACRC. GACRC staff will update these datasets &#039;&#039;&#039;every 3 months&#039;&#039;&#039; as well as other NCBI BLAST datasets: cdd_delta, human_genome, mouse_genome, nrte, refseq_protein, refseq_rna, swissprot, and taxdb datasets.&lt;br /&gt;
&lt;br /&gt;
Various subject datasets, e.g. pfam, bowtie indexes of human and mouse, and NCBI bacterial datasets, are hosted as well. However, these datasets are not accessed with a module. These datasets either don’t need updating, the source does not update frequently, or the datasets are not used frequently by our users. These datasets will only be updated by user request.&lt;br /&gt;
Instead of using a module, to use these databases, use the path to the databases in your script. Below is an example using BLAST+ with a dataset not available as a module.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=j_BLAST+&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=&amp;lt;u&amp;gt;1&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;10gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=BLAST+.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=BLAST+.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
module load BLAST+/2.13.0-gompi-2022a&amp;lt;br&amp;gt;    &lt;br /&gt;
blastn -query example.fasta -out results.out -db /db/ncbiblast/refseq_microbial/fasta/09162020/ &amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For datasets requested by individual lab groups, GACRC encourages users to maintain their own copies of databases, whose files can be installed in their group&#039;s shared &amp;quot;/work&amp;quot; area.&lt;br /&gt;
Similarly for datasets frequently updated by their source, the GACRC encourages users to maintain their own copies of these public databases.&lt;br /&gt;
&lt;br /&gt;
The set of data which are regularly updated is open to review, and can be expanded based on available GACRC resources.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Installed Bioinformatics Databases ==&lt;br /&gt;
{|  border=&amp;quot;1&amp;quot;  cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;  class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Name&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; class=&amp;quot;unsortable&amp;quot; | Latest Date (Version) &lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Module Available &lt;br /&gt;
|-&lt;br /&gt;
| [[AlphaFold-Sapelo2 | AlphaFold]] ||  09/03/2023 (v2.3.4) || no&lt;br /&gt;
|-&lt;br /&gt;
| [[AlphaFold3-Sapelo2 | AlphaFold3]] ||  01/14/2025 (&amp;quot;20241114&amp;quot;) || no&lt;br /&gt;
|-&lt;br /&gt;
| AlphaPulldown ||  02/28/2025 (v2.0.0) || no&lt;br /&gt;
|-&lt;br /&gt;
|bakta&lt;br /&gt;
|05/08/2025 (&amp;quot;20250224&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|beav&lt;br /&gt;
|09/19/2024 (v1.4.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|bowtie2&lt;br /&gt;
|09/12/2024&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|Bracken&lt;br /&gt;
|08/27/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|checkv&lt;br /&gt;
|01/10/2023 (v1.5)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| DRAM_data ||  03/12/2026 || no&lt;br /&gt;
|-&lt;br /&gt;
| eggnog-mapper || 05/05/2025 (v2.1.12)  || no&lt;br /&gt;
|-&lt;br /&gt;
|EnTAP&lt;br /&gt;
|06/09/2025 (v2.2.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|EUKulele&lt;br /&gt;
|04/15/2025 (&amp;quot;phylodb&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|FA-nf&lt;br /&gt;
|04/09/2025 (v0.4.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|foldseek&lt;br /&gt;
|08/08/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| funannotate || 01/28/2025 (v1.8.17)  || no&lt;br /&gt;
|-&lt;br /&gt;
|GAMD&lt;br /&gt;
|04/17/2025 (&amp;quot;20220215&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| GTDB-Tk || 05/16/2025 (release226)  || no&lt;br /&gt;
|-&lt;br /&gt;
|GToTree&lt;br /&gt;
|11/25/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|GetOrganelle&lt;br /&gt;
|01/13/2022&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| humann || 03/26/2023 (v3.6/v3.9)  || no&lt;br /&gt;
|-&lt;br /&gt;
| InterProScan || 04/07/2025 (v5.55-88.0)  || no&lt;br /&gt;
|-&lt;br /&gt;
|Kraken2 (PlusPF, PlusPFP, PlusPFP-16, core_nt, EuPathDB, GTDB)&lt;br /&gt;
|08/14/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| MaarjAM || 11/20/2024  || no&lt;br /&gt;
|-&lt;br /&gt;
| MetaMaps || 11/03/2021 (v0.1)  || no&lt;br /&gt;
|-&lt;br /&gt;
|metawrap&lt;br /&gt;
|01/30/2026&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| [[BLAST Databases-Sapelo2 |NCBI BLAST Databases]]|| First week of Feb., May, Aug., &amp;amp; Nov. || yes&lt;br /&gt;
|-&lt;br /&gt;
|NCBI-FCS&lt;br /&gt;
|12/01/2023 (v0.5.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| [[PfamDB-Sapelo2|pfam]]|| 12/18/2021 (v34.0) || no&lt;br /&gt;
|-&lt;br /&gt;
| PHASTEST || 02/01/2024  || no&lt;br /&gt;
|-&lt;br /&gt;
| QIIME (SILVA v138.2) ||   10/20/2025|| no&lt;br /&gt;
|-&lt;br /&gt;
| repbase || 02/03/2025 (v28.12)  || no&lt;br /&gt;
|-&lt;br /&gt;
| RoseTTAFold || 11/20/2024 (v1.0.0)  || no&lt;br /&gt;
|-&lt;br /&gt;
| sortmerna || 03/04/2016  || no&lt;br /&gt;
|-&lt;br /&gt;
| trinotate || 10/16/2023  || no&lt;br /&gt;
|-&lt;br /&gt;
| [[Uniprot-Sapelo2|Uniprot]]|| 11/21/2024 (&amp;quot;20230615&amp;quot;)   || no&lt;br /&gt;
|-&lt;br /&gt;
| [[Uniref-Sapelo2|Uniref]]|| 03/31/2026 || no&lt;br /&gt;
|-&lt;br /&gt;
|VFDB&lt;br /&gt;
|06/30/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|VirSorter&lt;br /&gt;
|11/12/2020 (&amp;quot;20230609&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|virulencefinder&lt;br /&gt;
|05/06/2024&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Bioinformatics_Databases&amp;diff=22996</id>
		<title>Bioinformatics Databases</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Bioinformatics_Databases&amp;diff=22996"/>
		<updated>2026-05-11T19:28:24Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Installed Bioinformatics Databases */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;As part of our services, the GACRC builds and hosts local copies of frequently cited application data, and provides assistance for sharing data among GACRC members.  Datasets are located in the commonly shared &amp;quot;/db&amp;quot; filesystem. [[BLAST Databases-Sapelo2 | NCBI BLAST datasets]] are pre-formatted to work with BLAST and BLAST+ and are located in &amp;quot;/db/ncbiblast/&amp;quot; and are organized by date. &lt;br /&gt;
&lt;br /&gt;
NCBI BLAST Datasets can be loaded in the same way as software modules. This allows users to replicate results by always being able to use a time stamped version of a database. The time stamp corresponds to the download date of the dataset. To search for available NCBI BLAST dataset modules run the command:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;ml spider ncbiblastdb&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can then load a database by running the command module load. For example to load the databases timestamped at 05/02/2025:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;module load ncbiblastdb/20250502&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Loading this module sets the environment variable BLASTDB to /db/ncbiblast/20250502. This allows BLAST+ to search that directory for databases. You can then use the name of the database you would like to use.(nt, nr, etc.) Here is an example of a shell script to run BLAST+ on the batch queue using the database nt:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=j_BLAST+&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=&amp;lt;u&amp;gt;1&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;10gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=BLAST+.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=BLAST+.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
module load BLAST+/2.16.0-gompi-2024a&amp;lt;br&amp;gt;  &lt;br /&gt;
module load ncbiblastdb/20250502&amp;lt;br&amp;gt;  &lt;br /&gt;
blastn -query example.fasta -out results.out -db nt&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In your actual submission script, use your own discretion for the Slurm header values.              &lt;br /&gt;
&lt;br /&gt;
NCBI&#039;s nr and nt datasets are the most commonly used at the GACRC. GACRC staff will update these datasets &#039;&#039;&#039;every 3 months&#039;&#039;&#039; as well as other NCBI BLAST datasets: cdd_delta, human_genome, mouse_genome, nrte, refseq_protein, refseq_rna, swissprot, and taxdb datasets.&lt;br /&gt;
&lt;br /&gt;
Various subject datasets, e.g. pfam, bowtie indexes of human and mouse, and NCBI bacterial datasets, are hosted as well. However, these datasets are not accessed with a module. These datasets either don’t need updating, the source does not update frequently, or the datasets are not used frequently by our users. These datasets will only be updated by user request.&lt;br /&gt;
Instead of using a module, to use these databases, use the path to the databases in your script. Below is an example using BLAST+ with a dataset not available as a module.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=j_BLAST+&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=&amp;lt;u&amp;gt;1&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;10gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=BLAST+.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=BLAST+.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
module load BLAST+/2.13.0-gompi-2022a&amp;lt;br&amp;gt;    &lt;br /&gt;
blastn -query example.fasta -out results.out -db /db/ncbiblast/refseq_microbial/fasta/09162020/ &amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For datasets requested by individual lab groups, GACRC encourages users to maintain their own copies of databases, whose files can be installed in their group&#039;s shared &amp;quot;/work&amp;quot; area.&lt;br /&gt;
Similarly for datasets frequently updated by their source, the GACRC encourages users to maintain their own copies of these public databases.&lt;br /&gt;
&lt;br /&gt;
The set of data which are regularly updated is open to review, and can be expanded based on available GACRC resources.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
==Installed Bioinformatics Databases ==&lt;br /&gt;
{|  border=&amp;quot;1&amp;quot;  cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;  class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Name&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; class=&amp;quot;unsortable&amp;quot; | Latest Date (Version) &lt;br /&gt;
! scope=&amp;quot;col&amp;quot; | Module Available &lt;br /&gt;
|-&lt;br /&gt;
| AlphaFold ||  09/03/2023 (v2.3.4) || no&lt;br /&gt;
|-&lt;br /&gt;
| AlphaFold3 ||  01/14/2025 (&amp;quot;20241114&amp;quot;) || no&lt;br /&gt;
|-&lt;br /&gt;
| AlphaPulldown ||  02/28/2025 (v2.0.0) || no&lt;br /&gt;
|-&lt;br /&gt;
|bakta&lt;br /&gt;
|05/08/2025 (&amp;quot;20250224&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|beav&lt;br /&gt;
|09/19/2024 (v1.4.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|bowtie2&lt;br /&gt;
|09/12/2024&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|Bracken&lt;br /&gt;
|08/27/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|checkv&lt;br /&gt;
|01/10/2023 (v1.5)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| DRAM_data ||  03/12/2026 || no&lt;br /&gt;
|-&lt;br /&gt;
| eggnog-mapper || 05/05/2025 (v2.1.12)  || no&lt;br /&gt;
|-&lt;br /&gt;
|EnTAP&lt;br /&gt;
|06/09/2025 (v2.2.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|EUKulele&lt;br /&gt;
|04/15/2025 (&amp;quot;phylodb&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|FA-nf&lt;br /&gt;
|04/09/2025 (v0.4.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|foldseek&lt;br /&gt;
|08/08/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| funannotate || 01/28/2025 (v1.8.17)  || no&lt;br /&gt;
|-&lt;br /&gt;
|GAMD&lt;br /&gt;
|04/17/2025 (&amp;quot;20220215&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| GTDB-Tk || 05/16/2025 (release226)  || no&lt;br /&gt;
|-&lt;br /&gt;
|GToTree&lt;br /&gt;
|11/25/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|GetOrganelle&lt;br /&gt;
|01/13/2022&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| humann || 03/26/2023 (v3.6/v3.9)  || no&lt;br /&gt;
|-&lt;br /&gt;
| InterProScan || 04/07/2025 (v5.55-88.0)  || no&lt;br /&gt;
|-&lt;br /&gt;
|Kraken2 (PlusPF, PlusPFP, PlusPFP-16, core_nt, EuPathDB, GTDB)&lt;br /&gt;
|08/14/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| MaarjAM || 11/20/2024  || no&lt;br /&gt;
|-&lt;br /&gt;
| MetaMaps || 11/03/2021 (v0.1)  || no&lt;br /&gt;
|-&lt;br /&gt;
|metawrap&lt;br /&gt;
|01/30/2026&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| [[BLAST Databases-Sapelo2 |NCBI BLAST Databases]]|| First week of Feb., May, Aug., &amp;amp; Nov. || yes&lt;br /&gt;
|-&lt;br /&gt;
|NCBI-FCS&lt;br /&gt;
|12/01/2023 (v0.5.0)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
| [[PfamDB-Sapelo2|pfam]]|| 12/18/2021 (v34.0) || no&lt;br /&gt;
|-&lt;br /&gt;
| PHASTEST || 02/01/2024  || no&lt;br /&gt;
|-&lt;br /&gt;
| QIIME (SILVA v138.2) ||   10/20/2025|| no&lt;br /&gt;
|-&lt;br /&gt;
| repbase || 02/03/2025 (v28.12)  || no&lt;br /&gt;
|-&lt;br /&gt;
| RoseTTAFold || 11/20/2024 (v1.0.0)  || no&lt;br /&gt;
|-&lt;br /&gt;
| sortmerna || 03/04/2016  || no&lt;br /&gt;
|-&lt;br /&gt;
| trinotate || 10/16/2023  || no&lt;br /&gt;
|-&lt;br /&gt;
| [[Uniprot-Sapelo2|Uniprot]]|| 11/21/2024 (&amp;quot;20230615&amp;quot;)   || no&lt;br /&gt;
|-&lt;br /&gt;
| [[Uniref-Sapelo2|Uniref]]|| 03/31/2026 || no&lt;br /&gt;
|-&lt;br /&gt;
|VFDB&lt;br /&gt;
|06/30/2025&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|VirSorter&lt;br /&gt;
|11/12/2020 (&amp;quot;20230609&amp;quot;)&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|virulencefinder&lt;br /&gt;
|05/06/2024&lt;br /&gt;
|no&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Uniprot-Sapelo2&amp;diff=22995</id>
		<title>Uniprot-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Uniprot-Sapelo2&amp;diff=22995"/>
		<updated>2026-05-11T19:28:01Z</updated>

		<summary type="html">&lt;p&gt;Jordan: Updated the body of this article to specify what is still being hosted in /db (namely, just the FASTA files, no pre-formatted databases).&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]][[Category:Bioinformatics Database]]    &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Uniprot is located at /db/uniprot. The directory name is formatted as yyyymmdd in the date of download, and as of 2026, on one is currently being mainteind: /db/uniprot/20230615 is generated on 06/15/2023&lt;br /&gt;
&lt;br /&gt;
The database contains:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/db/uniprot/20230615/uniprot_sprot.fasta&lt;br /&gt;
/db/uniprot/20230615/uniprot_trembl.fasta&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
[[#top|Back to Top]]&lt;br /&gt;
&lt;br /&gt;
Details at [https://www.uniprot.org/ Uniprot]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Uniprot-Sapelo2&amp;diff=22993</id>
		<title>Uniprot-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Uniprot-Sapelo2&amp;diff=22993"/>
		<updated>2026-05-11T19:23:49Z</updated>

		<summary type="html">&lt;p&gt;Jordan: Updated external links.&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]][[Category:Bioinformatics Database]]    &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Uniprot is located at /db/uniprot. The directory name is formatted as mmddyyyy in the date of download, such as /db/uniprot/06282018 is generated at 06/28/2018&lt;br /&gt;
&lt;br /&gt;
The database contains: &lt;br /&gt;
uniprot_trembl&amp;lt;br/&amp;gt;&lt;br /&gt;
uniprot_sprot&amp;lt;br/&amp;gt;&lt;br /&gt;
uniprot_sprot_varsplic&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/db/uniprot/latest/uniprot_trembl&lt;br /&gt;
/db/uniprot/latest/uniprot_sprot&lt;br /&gt;
/db/uniprot/latest/uniprot_sprot_varsplic&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The command generated the data is documented at UGA file sitting at the same directory with data: &lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
ml BLAST+/2.6.0-foss-2016b-Python-2.7.14&lt;br /&gt;
makeblastdb -dbtype prot -in uniprot_sprot.fasta -title uniprot_sprot  -parse_seqids -out uniprot_sprot -logfile uniprot_sprot.blast+.log&lt;br /&gt;
makeblastdb -dbtype prot -in uniprot_trembl.fasta -title uniprot_trembl  -parse_seqids -out  uniprot_trembl -logfile uniprot_trembl.blast+.log&lt;br /&gt;
makeblastdb -dbtype prot -in uniprot_varsplic.fasta -title uniprot_varsplic  -parse_seqids -out  uniprot_varsplic -logfile uniprot_varsplic.blast+.log&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
[[#top|Back to Top]]&lt;br /&gt;
&lt;br /&gt;
Details at [https://www.uniprot.org/ Uniprot]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Uniref-Sapelo2&amp;diff=22992</id>
		<title>Uniref-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Uniref-Sapelo2&amp;diff=22992"/>
		<updated>2026-05-11T19:22:50Z</updated>

		<summary type="html">&lt;p&gt;Jordan: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]][[Category:Bioinformatics Database]]    &lt;br /&gt;
latest version:&lt;br /&gt;
Uniref100, Uniref90, Uniref50 /db/uniref/06282018 updated at 02/25/2022&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
uniref100&amp;lt;br/&amp;gt;&lt;br /&gt;
uniref90&amp;lt;br/&amp;gt;&lt;br /&gt;
uniref50&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/db/uniref/latest/uniref100&lt;br /&gt;
/db/uniref/latest/uniref90&lt;br /&gt;
/db/uniref/latest/uniref50&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The command generated the data is documented at UGA file sitting at the same directory with data: &lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
module load BLAST+/2.11.0-gompi-2020b&lt;br /&gt;
makeblastdb -in uniref100.fasta  -dbtype prot -title uniref100  -out uniref100 -logfile uniref100.log&lt;br /&gt;
makeblastdb -in uniref90.fasta  -dbtype prot -title uniref90  -out uniref90 -logfile uniref90.log&lt;br /&gt;
makeblastdb -in uniref50.fasta  -dbtype prot -title uniref50  -out uniref50 -logfile uniref50.log&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Details at UniRef at the [https://www.uniprot.org/uniref UniProt site]&amp;lt;br/&amp;gt;&lt;br /&gt;
Data Source: [http://ftp.ebi.ac.uk/pub/databases/uniprot/uniref/ UniRef] at the EBI FTP&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Uniref-Sapelo2&amp;diff=22991</id>
		<title>Uniref-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Uniref-Sapelo2&amp;diff=22991"/>
		<updated>2026-05-11T19:22:28Z</updated>

		<summary type="html">&lt;p&gt;Jordan: Updated external links.&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]][[Category:Bioinformatics Database]]    &lt;br /&gt;
latest version:&lt;br /&gt;
Uniref100, Uniref90, Uniref50 /db/uniref/06282018 updated at 02/25/2022&amp;lt;br/&amp;gt;&lt;br /&gt;
&lt;br /&gt;
uniref100&amp;lt;br/&amp;gt;&lt;br /&gt;
uniref90&amp;lt;br/&amp;gt;&lt;br /&gt;
uniref50&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/db/uniref/latest/uniref100&lt;br /&gt;
/db/uniref/latest/uniref90&lt;br /&gt;
/db/uniref/latest/uniref50&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The command generated the data is documented at UGA file sitting at the same directory with data: &lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
module load BLAST+/2.11.0-gompi-2020b&lt;br /&gt;
makeblastdb -in uniref100.fasta  -dbtype prot -title uniref100  -out uniref100 -logfile uniref100.log&lt;br /&gt;
makeblastdb -in uniref90.fasta  -dbtype prot -title uniref90  -out uniref90 -logfile uniref90.log&lt;br /&gt;
makeblastdb -in uniref50.fasta  -dbtype prot -title uniref50  -out uniref50 -logfile uniref50.log&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Details at UniRef at the [https://www.uniprot.org/uniref UniProt]&amp;lt;br/&amp;gt;&lt;br /&gt;
Data Source: [http://ftp.ebi.ac.uk/pub/databases/uniprot/uniref/ UniRef] at the EBI FTP&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=BLAST_Databases-Sapelo2&amp;diff=22990</id>
		<title>BLAST Databases-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=BLAST_Databases-Sapelo2&amp;diff=22990"/>
		<updated>2026-05-11T19:07:29Z</updated>

		<summary type="html">&lt;p&gt;Jordan: Removed references to no-longer-available database versions with the &amp;quot;_v5&amp;quot; version suffix as this went away in early 2020.&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]][[Category:Bioinformatics Database]]    &lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Blast databases&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Blast databases are pre-formatted to work with blast commands from BLAST and BLAST+. These databases are similar to what you could build using the makeblastdb command with FASTA files. Each database is located at a directory with the name pattern  /db/ncbiblast/YYYYMMDD. For example, databases downloaded on February 01, 2022 will be available in /db/ncbiblast/20220201. Starting with the download on August 2nd, 2024 (i.e., /db/ncbiblast/20240802), the following databases are currently available and stored together with databases downloaded at the same time: &lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
nr&lt;br /&gt;
nt&lt;br /&gt;
taxdb&lt;br /&gt;
refseq_rna&lt;br /&gt;
refseq_protein&lt;br /&gt;
mouse_genome (which is referenced as &amp;quot;GCF_000001635.27_top_level&amp;quot; when used with BLAST+)&lt;br /&gt;
human_genome (which is referenced as &amp;quot;GCF_000001405.39_top_level&amp;quot; when used with BLAST+)&lt;br /&gt;
swissprot&lt;br /&gt;
cdd_delta&lt;br /&gt;
env_nr&lt;br /&gt;
env_nt&lt;br /&gt;
tsa_nr&lt;br /&gt;
tsa_nt&lt;br /&gt;
taxdb&lt;br /&gt;
ref_prok_rep_genomes&lt;br /&gt;
ref_euk_rep_genomes&lt;br /&gt;
ref_viroids_rep_genomes&lt;br /&gt;
ref_viruses_rep_genomes&lt;br /&gt;
16S_ribosomal_RNA&lt;br /&gt;
18S_fungal_sequences&lt;br /&gt;
28S_fungal_sequences&lt;br /&gt;
LSU_eukaryote_rRNA&lt;br /&gt;
LSU_prokaryote_rRNA&lt;br /&gt;
SSU_eukaryote_rRNA&lt;br /&gt;
Betacoronavirus&lt;br /&gt;
ITS_RefSeq_Fungi&lt;br /&gt;
ITS_eukaryote_sequences&lt;br /&gt;
mito&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that the database refseq_genomic is no longer available to download as a pre-formatted database.  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
NCBI BLAST Datasets can be loaded just like software modules. This allows users to replicate results by always being able to use a time stamped version of a database. The time stamp corresponds to the download date of the dataset. To search for available NCBI BLAST dataset modules run the command:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;ml spider ncbiblastdb&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can then load a database by running the command module load. For example to load the databases timestamped on 11/02/2024:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;code&amp;gt;module load ncbiblastdb/20241102&amp;lt;/code&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Loading this module sets the environment variable BLASTDB to /db/ncbiblast/20241102. This allows BLAST+ to search that directory for databases. You can then use the name of the database you would like to use.(nt, nr, etc.) Here is an example of a shell script to run BLAST+ on the batch queue using the database nt:&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=j_BLAST+&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=&amp;lt;u&amp;gt;1&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;10gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=BLAST+.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=BLAST+.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
module load BLAST+/2.14.1-gompi-2023a&amp;lt;br&amp;gt;  &lt;br /&gt;
module load ncbiblastdb/20241102&amp;lt;br&amp;gt;  &lt;br /&gt;
blastn -query example.fasta -out results.out -db nt&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In your actual submission script, use your own discretion for the Slurm header values.       &lt;br /&gt;
&lt;br /&gt;
NCBI&#039;s nr and nt datasets are the most commonly used at the GACRC. GACRC staff will update these datasets &#039;&#039;&#039;every 3 months&#039;&#039;&#039; along with other potentially helpful NCBI BLAST datasets.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Blast database - old version 5&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
On Feb. 04, 2020 NCBI dropped the _v5 suffix for the v5 Blast databases.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=GeneMarkES-Sapelo2&amp;diff=22721</id>
		<title>GeneMarkES-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=GeneMarkES-Sapelo2&amp;diff=22721"/>
		<updated>2026-03-24T19:06:30Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]&lt;br /&gt;
=== Category ===&lt;br /&gt;
&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
4.71&lt;br /&gt;
 &lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
[http://exon.gatech.edu/GeneMark/ GeneMarkES]&lt;br /&gt;
 &lt;br /&gt;
=== Description ===&lt;br /&gt;
&amp;quot;Gene Prediction in Eukaryotes. Novel genomes can be analyzed by the program GeneMark-ES utilizing unsupervised training.&amp;quot;&lt;br /&gt;
More details are at [http://exon.gatech.edu/GeneMark/ GeneMarkES]&lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
In order to use geneMarker you will need to download a key file and put it into your home directory. Please follow instructions as given below:&lt;br /&gt;
&lt;br /&gt;
1) Go to http://topaz.gatech.edu/GeneMark/license_download.cgi, fill the requested fields are read the license text. Note: you can select any tool and platform actually, e.g. GeneMark-ES/ET/EP+ ver 4.72_lic and LINUX64 kernel 3.10-5, but &amp;lt;b&amp;gt;make sure you select both a software option and an operating system option, otherwise the form will re-set when you enter your information and click &amp;quot;I agree.&amp;quot;&amp;lt;/b&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2) After pressing &amp;quot;I agree ...&amp;quot; button you will be redirected to a download page. You will need to download the 64bit key file only. Here you have two options:&amp;lt;/br&amp;gt;&lt;br /&gt;
-A. If you&#039;re already logged into Sapelo2, you can right-click or CTRL + click on the 64-bit link and copy the URL, then &#039;cd&#039; to your /home directory, type &#039;wget&#039; and paste the URL into your terminal window and the key file gm_key_64.gz will be downloaded to your /home directory. Or,&amp;lt;/br&amp;gt;&lt;br /&gt;
-B. Click the 64-bit link in your browser. The key file gm_key_64.gz will be downloaded to your local drive, and you can then transfer it to the cluster using a transfer node or Globus. Please refer to [[Transferring Files]].&lt;br /&gt;
&lt;br /&gt;
3) The key file downloaded is in gzip format, on the cluster please unpack it (with gunzip) and move it to ~/.gm_key (the name should be exactly like this, with a dot in the beginning), for example:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
gunzip gm_key_64.gz&lt;br /&gt;
mv gm_key_64 ~/.gm_key&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where ~ is your home directory. i.e /home/MyID. Once the .gm_key file has been placed in your home dir you should be able to run GeneMarker.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 4.71&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Version 4.71, installed at &lt;br /&gt;
&lt;br /&gt;
* /apps/eb/GeneMark-ET/4.71-GCCcore-11.3.0/&lt;br /&gt;
* /apps/eb/GeneMark-ET/4.71-GCCcore-11.2.0/&lt;br /&gt;
&lt;br /&gt;
To use it, please load the module with:&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
module load GeneMark-ET/4.71-GCCcore-11.3.0&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
or  &lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
module load GeneMark-ET/4.71-GCCcore-11.2.0&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Here is an example of a shell script sub.sh to run it at the batch queue: &lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=geneMarkJob&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=&amp;lt;u&amp;gt;1&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;                                    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem&amp;lt;u&amp;gt;10gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;      &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=log.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=log.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
module load GeneMark-ET/4.71-GCCcore-11.3.0&lt;br /&gt;
&lt;br /&gt;
gmes_petap.pl [options]   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In the real submission script, at least all the above underlined values need to be reviewed or to be replaced by the proper values.  &lt;br /&gt;
&lt;br /&gt;
Here is an example of job submission command:&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
sbatch ./sub.sh &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
module load GeneMark-ET/4.71-GCCcore-11.3.0&lt;br /&gt;
gmes_petap.pl &lt;br /&gt;
&lt;br /&gt;
# -------------------&lt;br /&gt;
Usage:  /apps/eb/GeneMark-ET/4.71-GCCcore-11.3.0/gmes_petap.pl  [options]  --sequence [filename]&lt;br /&gt;
&lt;br /&gt;
GeneMark-ES Suite version 4.71_lic&lt;br /&gt;
Suite includes GeneMark.hmm, GeneMark-ES, GeneMark-ET and GeneMark-EP algorithms.&lt;br /&gt;
&lt;br /&gt;
Input sequence/s should be in FASTA format.&lt;br /&gt;
&lt;br /&gt;
Select one of the gene prediction algorithms:&lt;br /&gt;
&lt;br /&gt;
  To run GeneMark-ES self-training algorithm&lt;br /&gt;
    --ES&lt;br /&gt;
&lt;br /&gt;
  To run GeneMark-ET with hints from transcriptome splice alignments&lt;br /&gt;
    --ET           [filename]; file with intron coordinates from RNA-Seq read splice alignment in GFF format&lt;br /&gt;
    --et_score     [number]; default 10; minimum score of intron in initiation of the ET algorithm&lt;br /&gt;
&lt;br /&gt;
  To run GeneMark-EP with hints from protein splice alignments&lt;br /&gt;
    --EP           &lt;br /&gt;
    --dbep         [filename]; file with protein database in FASTA format&lt;br /&gt;
    --ep_score     [number,number]; default 4,0.25; minimum score of intron in initiation of the EP algorithm&lt;br /&gt;
    or&lt;br /&gt;
    --EP           [filename]; file with intron coordinates from protein splice alignment in GFF format&lt;br /&gt;
&lt;br /&gt;
  To run GeneMark.hmm predictions using previously derived model&lt;br /&gt;
    --predict_with [filename]; file with species specific gene prediction parameters&lt;br /&gt;
&lt;br /&gt;
  To run ES, ET or EP with branch point model. This option is most useful for fungal genomes&lt;br /&gt;
    --fungus&lt;br /&gt;
&lt;br /&gt;
  To run hmm, ES, ET or EP in PLUS mode (prediction with hints)&lt;br /&gt;
    --evidence     [filename]; file with hints in GFF format&lt;br /&gt;
&lt;br /&gt;
  To run algorithms with alternative genetic codes&lt;br /&gt;
    --gcode      [number]; default 1; supported 1 and 6/26&lt;br /&gt;
&lt;br /&gt;
Output formatting options:&lt;br /&gt;
  --format       [label]; default GTF; output gene prediction in GTF of GFF3 format&lt;br /&gt;
  --work_dir     [folder name]; default current working directory .;&lt;br /&gt;
&lt;br /&gt;
Masking option&lt;br /&gt;
  --soft_mask    [number] or [auto]; default auto; to indicate that lowercase letters stand for repeats;&lt;br /&gt;
                 algorithm hard masks only lowercase repeats longer than specified length&lt;br /&gt;
                 In &#039;auto&#039; mode hard masking threshold is selected by algorithm based on the size of the input genome&lt;br /&gt;
  --mask_penalty [number] or [auto]; default 0.03;&lt;br /&gt;
&lt;br /&gt;
Run options&lt;br /&gt;
  --cores        [number]; default 1; to run program with multiple threads&lt;br /&gt;
  --pbs          to run on cluster with PBS support&lt;br /&gt;
  --v            verbose&lt;br /&gt;
&lt;br /&gt;
Optional sequence pre-processing parameters&lt;br /&gt;
  --max_contig   [number]; default 5000000; will split input genomic sequence into contigs shorter then max_contig&lt;br /&gt;
  --min_contig   [number]; default 50000 (10000 fungi); &lt;br /&gt;
                 will ignore contigs shorter than min_contig in training &lt;br /&gt;
  --max_gap      [number]; default 5000; will split sequence at gaps longer than max_gap&lt;br /&gt;
                 Letters &#039;n&#039; and &#039;N&#039; are interpreted as standing within gaps &lt;br /&gt;
  --max_mask     [number]; default 5000; will split sequence at repeats longer then max_mask&lt;br /&gt;
                 Letters &#039;x&#039; and &#039;X&#039; are interpreted as results of hard masking of repeats&lt;br /&gt;
&lt;br /&gt;
Optional parameters&lt;br /&gt;
  --max_intron            [number]; default 10000 (3000 fungi); maximum length of intron&lt;br /&gt;
  --max_intergenic        [number]; default 50000 (10000 fungi); maximum length of intergenic regions&lt;br /&gt;
  --min_contig_in_predict [number]; default 500; minimum allowed length of contig in prediction step&lt;br /&gt;
  --min_gene_in_predict   [number]; default 300 (120 fungi); minimum allowed gene length in prediction step&lt;br /&gt;
  --gc_donor              [value];  default 0.001; transition probability to GC donor in the range 0..1; &lt;br /&gt;
                          &#039;off&#039; switches GC donor model OFF&lt;br /&gt;
  --gc3          [number]; GC3 cutoff in training for grasses&lt;br /&gt;
&lt;br /&gt;
Developer options&lt;br /&gt;
  --training     to run only training step of algorithm; applicable to ES, ET or EP&lt;br /&gt;
  --prediction   to run only prediction step of algorithms using species parameters from previously executed training; applicable to ES, ET or EP&lt;br /&gt;
  --usr_cfg      [filename]; use custom configuration from this file&lt;br /&gt;
  --ini_mod      [filename]; use this file with parameters for algorithm initiation&lt;br /&gt;
  --key_bin&lt;br /&gt;
  --debug&lt;br /&gt;
# -------------------&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
[[#top|Back to Top]]&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
 &lt;br /&gt;
source code from [http://exon.gatech.edu/GeneMark/license_download.cgi GeneMarkES]&lt;br /&gt;
 &lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=GeneMarkES-Sapelo2&amp;diff=22720</id>
		<title>GeneMarkES-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=GeneMarkES-Sapelo2&amp;diff=22720"/>
		<updated>2026-03-24T18:16:34Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]&lt;br /&gt;
=== Category ===&lt;br /&gt;
&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
4.71&lt;br /&gt;
 &lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
[http://exon.gatech.edu/GeneMark/ GeneMarkES]&lt;br /&gt;
 &lt;br /&gt;
=== Description ===&lt;br /&gt;
&amp;quot;Gene Prediction in Eukaryotes. Novel genomes can be analyzed by the program GeneMark-ES utilizing unsupervised training.&amp;quot;&lt;br /&gt;
More details are at [http://exon.gatech.edu/GeneMark/ GeneMarkES]&lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
In order to use geneMarker you will need to download a key file and put it into your home directory. Please follow instructions as given below:&lt;br /&gt;
&lt;br /&gt;
1) Go to http://topaz.gatech.edu/GeneMark/license_download.cgi, fill the requested fields are read the license text. Note: you can select any tool and platform actually, e.g. GeneMark-ES/ET/EP+ ver 4.72_lic and LINUX64 kernel 3.10-5, but &amp;lt;b&amp;gt;make sure you select both a software option and an operating system option, otherwise the form will re-set when you enter your information and click &amp;quot;I agree.&amp;quot;&amp;lt;/b&amp;gt;&lt;br /&gt;
&lt;br /&gt;
2) After pressing &amp;quot;I agree ...&amp;quot; button you will be redirected to a download page. You will need to download the 64bit key file only. The key file gm_key_64.gz will be downloaded to your local drive. Then please transfer it to the cluster using a transfer node or Globus. Please refer to [[Transferring Files]].&lt;br /&gt;
&lt;br /&gt;
3) The key file downloaded is in gzip format, on the cluster please unpack it (with gunzip) and move it to ~/.gm_key (the name should be exactly like this, with a dot in the beginning), for example:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
gunzip gm_key_64.gz&lt;br /&gt;
mv gm_key_64 ~/.gm_key&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where ~ is your home directory. i.e /home/MyID. Once the .gm_key file has been placed in your home dir you should be able to run GeneMarker.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 4.71&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Version 4.71, installed at &lt;br /&gt;
&lt;br /&gt;
* /apps/eb/GeneMark-ET/4.71-GCCcore-11.3.0/&lt;br /&gt;
* /apps/eb/GeneMark-ET/4.71-GCCcore-11.2.0/&lt;br /&gt;
&lt;br /&gt;
To use it, please load the module with:&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
module load GeneMark-ET/4.71-GCCcore-11.3.0&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
or  &lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
module load GeneMark-ET/4.71-GCCcore-11.2.0&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Here is an example of a shell script sub.sh to run it at the batch queue: &lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=geneMarkJob&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=&amp;lt;u&amp;gt;1&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;                                    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem&amp;lt;u&amp;gt;10gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;      &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=log.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=log.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
module load GeneMark-ET/4.71-GCCcore-11.3.0&lt;br /&gt;
&lt;br /&gt;
gmes_petap.pl [options]   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In the real submission script, at least all the above underlined values need to be reviewed or to be replaced by the proper values.  &lt;br /&gt;
&lt;br /&gt;
Here is an example of job submission command:&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
sbatch ./sub.sh &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
module load GeneMark-ET/4.71-GCCcore-11.3.0&lt;br /&gt;
gmes_petap.pl &lt;br /&gt;
&lt;br /&gt;
# -------------------&lt;br /&gt;
Usage:  /apps/eb/GeneMark-ET/4.71-GCCcore-11.3.0/gmes_petap.pl  [options]  --sequence [filename]&lt;br /&gt;
&lt;br /&gt;
GeneMark-ES Suite version 4.71_lic&lt;br /&gt;
Suite includes GeneMark.hmm, GeneMark-ES, GeneMark-ET and GeneMark-EP algorithms.&lt;br /&gt;
&lt;br /&gt;
Input sequence/s should be in FASTA format.&lt;br /&gt;
&lt;br /&gt;
Select one of the gene prediction algorithms:&lt;br /&gt;
&lt;br /&gt;
  To run GeneMark-ES self-training algorithm&lt;br /&gt;
    --ES&lt;br /&gt;
&lt;br /&gt;
  To run GeneMark-ET with hints from transcriptome splice alignments&lt;br /&gt;
    --ET           [filename]; file with intron coordinates from RNA-Seq read splice alignment in GFF format&lt;br /&gt;
    --et_score     [number]; default 10; minimum score of intron in initiation of the ET algorithm&lt;br /&gt;
&lt;br /&gt;
  To run GeneMark-EP with hints from protein splice alignments&lt;br /&gt;
    --EP           &lt;br /&gt;
    --dbep         [filename]; file with protein database in FASTA format&lt;br /&gt;
    --ep_score     [number,number]; default 4,0.25; minimum score of intron in initiation of the EP algorithm&lt;br /&gt;
    or&lt;br /&gt;
    --EP           [filename]; file with intron coordinates from protein splice alignment in GFF format&lt;br /&gt;
&lt;br /&gt;
  To run GeneMark.hmm predictions using previously derived model&lt;br /&gt;
    --predict_with [filename]; file with species specific gene prediction parameters&lt;br /&gt;
&lt;br /&gt;
  To run ES, ET or EP with branch point model. This option is most useful for fungal genomes&lt;br /&gt;
    --fungus&lt;br /&gt;
&lt;br /&gt;
  To run hmm, ES, ET or EP in PLUS mode (prediction with hints)&lt;br /&gt;
    --evidence     [filename]; file with hints in GFF format&lt;br /&gt;
&lt;br /&gt;
  To run algorithms with alternative genetic codes&lt;br /&gt;
    --gcode      [number]; default 1; supported 1 and 6/26&lt;br /&gt;
&lt;br /&gt;
Output formatting options:&lt;br /&gt;
  --format       [label]; default GTF; output gene prediction in GTF of GFF3 format&lt;br /&gt;
  --work_dir     [folder name]; default current working directory .;&lt;br /&gt;
&lt;br /&gt;
Masking option&lt;br /&gt;
  --soft_mask    [number] or [auto]; default auto; to indicate that lowercase letters stand for repeats;&lt;br /&gt;
                 algorithm hard masks only lowercase repeats longer than specified length&lt;br /&gt;
                 In &#039;auto&#039; mode hard masking threshold is selected by algorithm based on the size of the input genome&lt;br /&gt;
  --mask_penalty [number] or [auto]; default 0.03;&lt;br /&gt;
&lt;br /&gt;
Run options&lt;br /&gt;
  --cores        [number]; default 1; to run program with multiple threads&lt;br /&gt;
  --pbs          to run on cluster with PBS support&lt;br /&gt;
  --v            verbose&lt;br /&gt;
&lt;br /&gt;
Optional sequence pre-processing parameters&lt;br /&gt;
  --max_contig   [number]; default 5000000; will split input genomic sequence into contigs shorter then max_contig&lt;br /&gt;
  --min_contig   [number]; default 50000 (10000 fungi); &lt;br /&gt;
                 will ignore contigs shorter than min_contig in training &lt;br /&gt;
  --max_gap      [number]; default 5000; will split sequence at gaps longer than max_gap&lt;br /&gt;
                 Letters &#039;n&#039; and &#039;N&#039; are interpreted as standing within gaps &lt;br /&gt;
  --max_mask     [number]; default 5000; will split sequence at repeats longer then max_mask&lt;br /&gt;
                 Letters &#039;x&#039; and &#039;X&#039; are interpreted as results of hard masking of repeats&lt;br /&gt;
&lt;br /&gt;
Optional parameters&lt;br /&gt;
  --max_intron            [number]; default 10000 (3000 fungi); maximum length of intron&lt;br /&gt;
  --max_intergenic        [number]; default 50000 (10000 fungi); maximum length of intergenic regions&lt;br /&gt;
  --min_contig_in_predict [number]; default 500; minimum allowed length of contig in prediction step&lt;br /&gt;
  --min_gene_in_predict   [number]; default 300 (120 fungi); minimum allowed gene length in prediction step&lt;br /&gt;
  --gc_donor              [value];  default 0.001; transition probability to GC donor in the range 0..1; &lt;br /&gt;
                          &#039;off&#039; switches GC donor model OFF&lt;br /&gt;
  --gc3          [number]; GC3 cutoff in training for grasses&lt;br /&gt;
&lt;br /&gt;
Developer options&lt;br /&gt;
  --training     to run only training step of algorithm; applicable to ES, ET or EP&lt;br /&gt;
  --prediction   to run only prediction step of algorithms using species parameters from previously executed training; applicable to ES, ET or EP&lt;br /&gt;
  --usr_cfg      [filename]; use custom configuration from this file&lt;br /&gt;
  --ini_mod      [filename]; use this file with parameters for algorithm initiation&lt;br /&gt;
  --key_bin&lt;br /&gt;
  --debug&lt;br /&gt;
# -------------------&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
[[#top|Back to Top]]&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
 &lt;br /&gt;
source code from [http://exon.gatech.edu/GeneMark/license_download.cgi GeneMarkES]&lt;br /&gt;
 &lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=EGAPx-Sapelo2&amp;diff=22690</id>
		<title>EGAPx-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=EGAPx-Sapelo2&amp;diff=22690"/>
		<updated>2026-01-27T19:20:12Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
N/A&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/ncbi/egapx&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/ncbi/egapx: &amp;quot;EGAPx is the publicly accessible version of the updated NCBI Eukaryotic Genome Annotation Pipeline. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
As of 01/06/2026, due to its current implementation of Nextflow, installing EGAPx centrally would potentially run the risk of overwriting important files; it currently also depends on the NCBI C++ toolkit, which has documented security vulnerabilities. As such, this page exists to outline the steps needed to run EGAPx from the /home directory.&lt;br /&gt;
&lt;br /&gt;
First, &amp;lt;u&amp;gt;&amp;lt;b&amp;gt;start an interactive job&amp;lt;/b&amp;gt;&amp;lt;/u&amp;gt; and, in your /home directory, clone the repository and then cd to the new directory that this creates:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
git clone https://github.com/ncbi/egapx.git&lt;br /&gt;
cd egapx&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Since the dependencies for EGAPx are already installed, you don&#039;t need to create a new virtual environment; simply load the relevant software modules:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
ml Nextflow/24.10.2&lt;br /&gt;
ml Python/3.12.3-GCCcore-13.3.0 &lt;br /&gt;
ml PyYAML/6.0.2-GCCcore-13.3.0&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Notes: &lt;br /&gt;
* As recently as EGAPx v0.5.0, the developers have been highly inconsistent in their use of version 1 &amp;lt;i&amp;gt;vs&amp;lt;/i&amp;gt;. version 2 of Nextflow&#039;s domain-specific language, or &amp;quot;DSL,&amp;quot; and Nextflow v25 does not tolerate these inconsistencies; &amp;lt;b&amp;gt;therefore, you &amp;lt;i&amp;gt;have to&amp;lt;/i&amp;gt; use Nextflow/24.10.2 in order for the pipeline to run.&amp;lt;/b&amp;gt;&lt;br /&gt;
* As of EGAPx v0.5.0, it appears that the software depends on having at least v13.3.0 of GCC/GCCcore available, so the versions of Python and PyYAML listed above are strongly recommended.&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Now you need to run one of the test examples provided by the developers in order to acquire the necessary config files:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
python3 ui/egapx.py ./examples/input_D_farinae_small.yaml -o example_out &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that it isn&#039;t strictly necessary to include &amp;quot;python3&amp;quot; at the start of the command, so long as the &#039;egapx.py&#039; script in the &#039;ui/&#039; directory has executable permissions (which it does by default). Running the execution script the first time will put all of the config files into a new subdirectory in your working directory (&#039;egapx/&#039;) called &#039;egapx_config&#039;. Of these, the one to use is &#039;slurm.config&#039;, which you will need to open with your preferred text editor and make the following changes:&lt;br /&gt;
&lt;br /&gt;
The line&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
cacheDir = &amp;quot;/data/$USER/singularity&amp;quot;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
should be changed to&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
cacheDir = &amp;quot;$PWD/singularity&amp;quot;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
while the section&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
env {&lt;br /&gt;
    SINGULARITY_CACHEDIR=&amp;quot;/data/$USER/singularity&amp;quot;&lt;br /&gt;
    SINGULARITY_TMPDIR=&amp;quot;/data/$USER/tmp&amp;quot;&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
should be changed to:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
env {&lt;br /&gt;
    SINGULARITY_CACHEDIR=&amp;quot;$PWD/singularity&amp;quot;&lt;br /&gt;
    SINGULARITY_TMPDIR=&amp;quot;/$PWD/tmp&amp;quot;&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Finally, in the section called &amp;quot;process,&amp;quot; there are only  three things that need to be un-commented (remove the &amp;quot;//&amp;quot; at the start of the line) and changed as follows:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
queue = &#039;batch&#039;&lt;br /&gt;
queueSize = 20&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
and&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
clusterOptions = &#039; --ntasks=1 &#039;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After this, you can create a job submission script that looks like this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=&amp;lt;u&amp;gt;ExampleJobName&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --cpus-per-task=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=4G&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=48:00:00&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=%x.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=%x.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;ml purge&lt;br /&gt;
&amp;lt;/br&amp;gt;ml Nextflow/24.10.2&lt;br /&gt;
&amp;lt;/br&amp;gt;ml Python/3.11.3-GCCcore-12.3.0&lt;br /&gt;
&amp;lt;/br&amp;gt;ml PyYAML/6.0-GCCcore-12.3.0&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;python3 &amp;lt;u&amp;gt;PATH/to/&amp;lt;/u&amp;gt;egapx/ui/egapx.py &amp;lt;u&amp;gt;PATH/to/input_and_database_options.yaml&amp;lt;/u&amp;gt; -e slurm -o &amp;lt;u&amp;gt;PATH/to/Output_Directory&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
In the real submission script, all the above underlined values need to be replaced by the &amp;lt;i&amp;gt;actual&amp;lt;/i&amp;gt; values, particularly the relevant paths. &amp;lt;u&amp;gt;&amp;lt;b&amp;gt;Please note that, while it is perfectly fine to use EGAPx in your /home directory, the input and output directories (i.e., where files will be read from and written to) should &amp;lt;i&amp;gt;NOT&amp;lt;/i&amp;gt; be located in your /home directory;&amp;lt;/u&amp;gt;&amp;lt;/b&amp;gt; please use somewhere else for input (if using local data) and output files, such your /scratch directory.&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Example input YAML file:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
genome: https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/020/809/275/GCF_020809275.1_ASM2080927v1/GCF_020809275.1_ASM2080927v1_genomic.fna.gz&lt;br /&gt;
taxid: 6954&lt;br /&gt;
reads:&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR8506572.1&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR8506572.2&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR9005248.1&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR9005248.2&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
(Please see https://github.com/ncbi/egapx?tab=readme-ov-file#input-data-format for more information on the correct formatting for input data, and https://github.com/ncbi/egapx?tab=readme-ov-file#input-example for more examples.)&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/ncbi/egapx&lt;br /&gt;
&lt;br /&gt;
Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ ui/egapx.py -h&lt;br /&gt;
usage: egapx.py [-h] [-o OUTPUT] [-e EXECUTOR] [-c CONFIG_DIR] [-w WORKDIR] [-r REPORT] [-n] [-st] [-so] [-lo] [-ot ORTHO_TAXID] [-dl] [-lc LOCAL_CACHE] [-q] [-v] [-V] [-fn FUNC_NAME] [filename]&lt;br /&gt;
&lt;br /&gt;
Main script for EGAPx&lt;br /&gt;
&lt;br /&gt;
options:&lt;br /&gt;
  -h, --help            show this help message and exit&lt;br /&gt;
  -e EXECUTOR, --executor EXECUTOR&lt;br /&gt;
                        Nextflow executor, one of docker, singularity, aws, or local (for NCBI internal use only). Uses corresponding Nextflow config file&lt;br /&gt;
  -c CONFIG_DIR, --config-dir CONFIG_DIR&lt;br /&gt;
                        Directory for executor config files, default is ./egapx_config. Can be also set as env EGAPX_CONFIG_DIR&lt;br /&gt;
  -w WORKDIR, --workdir WORKDIR&lt;br /&gt;
                        Working directory for cloud executor&lt;br /&gt;
  -r REPORT, --report REPORT&lt;br /&gt;
                        Report file prefix for report (.report.html) and timeline (.timeline.html) files, default is in output directory&lt;br /&gt;
  -n, --dry-run&lt;br /&gt;
  -st, --stub-run&lt;br /&gt;
  -so, --summary-only   Print result statistics only if available, do not compute result&lt;br /&gt;
  -lo, --logs-only      Collect execution logs if available, put them in output directory, do not compute result&lt;br /&gt;
  -ot ORTHO_TAXID, --ortho-taxid ORTHO_TAXID&lt;br /&gt;
                        Taxid of reference data for orthology tasks&lt;br /&gt;
  -lc LOCAL_CACHE, --local-cache LOCAL_CACHE&lt;br /&gt;
                        Where to store the downloaded files&lt;br /&gt;
  -q, --quiet&lt;br /&gt;
  -v, --verbose&lt;br /&gt;
  -V, --version         Report software version&lt;br /&gt;
  -fn FUNC_NAME, --func_name FUNC_NAME&lt;br /&gt;
                        func_name&lt;br /&gt;
&lt;br /&gt;
run:&lt;br /&gt;
  filename              YAML file with input: section with at least genome: and reads: parameters&lt;br /&gt;
  -o OUTPUT, --output OUTPUT&lt;br /&gt;
                        Output path&lt;br /&gt;
&lt;br /&gt;
download:&lt;br /&gt;
  -dl, --download-only  Download external files to local storage, so that future runs can be isolated&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Funannotate-Sapelo2&amp;diff=22682</id>
		<title>Funannotate-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Funannotate-Sapelo2&amp;diff=22682"/>
		<updated>2026-01-14T18:27:28Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Teaching]][[Category:Software]][[Category:Bioinformatics]]&lt;br /&gt;
=== Category ===&lt;br /&gt;
&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
1.8.17&lt;br /&gt;
 &lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
 &lt;br /&gt;
https://github.com/nextgenusfs/funannotate&lt;br /&gt;
https://funannotate.readthedocs.io/en/latest/&lt;br /&gt;
 &lt;br /&gt;
=== Description ===&lt;br /&gt;
&amp;quot;Funannotate is a genome prediction, annotation, and comparison software package. It was originally written to annotate fungal genomes (small eukaryotes ~ 30 Mb genomes), but has evolved over time to accomodate larger genomes.&amp;quot;&lt;br /&gt;
&lt;br /&gt;
More details are at https://funannotate.readthedocs.io/en/latest/&lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
&lt;br /&gt;
* version 1.8.17 with PASA pipeline with MySQL support is installed as an Apptainer container in /apps/singularity-images/funannotate-1.8.17-MySQL-PASA/ . The image name is funannotate-1.8.17-mysql-production.sif.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
To use this version of Funannotate in a batch job, please follow these setup steps in your current job working directory &#039;&#039;&#039;before&#039;&#039;&#039; submitting a batch job:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
cp /apps/singularity-images/funannotate-1.8.17-MySQL-PASA/*.sh .&lt;br /&gt;
cp -r /apps/singularity-images/funannotate-1.8.17-MySQL-PASA/pasa_conf .&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note:&lt;br /&gt;
&lt;br /&gt;
Running the above cp commands will copy the following setup files and folder to your current job working directory:&lt;br /&gt;
&lt;br /&gt;
* Three MySQL config scripts: &#039;&#039;&#039;1_init.sh&#039;&#039;&#039;, &#039;&#039;&#039;2_create_user_and_db.sh&#039;&#039;&#039;, and &#039;&#039;&#039;3_cleanup.sh&#039;&#039;&#039;&lt;br /&gt;
* A sample batch job submission script: &#039;&#039;&#039;sub.sh&#039;&#039;&#039;&lt;br /&gt;
* A PASA config folder: &#039;&#039;&#039;pasa_conf/&#039;&#039;&#039;  &lt;br /&gt;
&lt;br /&gt;
Below is the sample batch job submission script (&#039;&#039;&#039;sub.sh&#039;&#039;&#039;) to run funannotate in a batch job using 80 CPU cores on the batch partition: &lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=&amp;lt;u&amp;gt;funannotate-mysql&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --cpus-per-task=&amp;lt;u&amp;gt;80&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;80gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;48:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=log.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username&amp;lt;/u&amp;gt;@uga.edu&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt; Initialize and start MySQL from inside of the container&lt;br /&gt;
&lt;br /&gt;
./1_init.sh &amp;amp;&amp;amp; ./2_create_user_and_db.sh&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt; Verify the installation of dependencies and show their versions (optional)&lt;br /&gt;
&lt;br /&gt;
apptainer exec instance://funannotate-mysql /bin/bash -c &amp;quot;source activate /opt/funannotate &amp;amp;&amp;amp; &#039;&#039;&#039;funannotate check --show-versions&#039;&#039;&#039;&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt; Run a full test with PASA pipeline with MySQL support. You can run your own funannotate command line here.&lt;br /&gt;
&lt;br /&gt;
apptainer exec instance://funannotate-mysql /bin/bash -c &amp;quot;source activate /opt/funannotate &amp;amp;&amp;amp; &#039;&#039;&#039;funannotate test -t all --cpus 80&#039;&#039;&#039;&amp;quot;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt; Clean up on the compute node by shutting down MySQL&lt;br /&gt;
&lt;br /&gt;
./3_cleanup.sh&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Notes:&#039;&#039;&#039;&lt;br /&gt;
# Funannotate uses the GeneMark gene prediction software, which means you need to have downloaded the key file for GeneMarker and put it into your home directory. Please follow instructions found at &amp;lt;u&amp;gt;[[GeneMarkES-Sapelo2]]&amp;lt;/u&amp;gt;.&lt;br /&gt;
# In the real submission script, at least all the above underlined values in Slurm headers need to be reviewed or to be replaced by the proper values.&lt;br /&gt;
# In the real submission script, the above the funannotate command lines in &#039;&#039;&#039;bold font&#039;&#039;&#039; can be replaced by your own funannotate command lines.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Please refer to [[Running Jobs on Sapelo2]] for more information running jobs on the Sapelo2 cluster.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Here is an example of job submission command:&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
sbatch ./sub.sh &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
https://funannotate.readthedocs.io/en/latest/&lt;br /&gt;
https://github.com/PASApipeline/PASApipeline/wiki/setting-up-pasa-mysql&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
[[#top|Back to Top]]&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
 &lt;br /&gt;
Source code is obtained from https://github.com/nextgenusfs/funannotate&lt;br /&gt;
 &lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=EGAPx-Sapelo2&amp;diff=22621</id>
		<title>EGAPx-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=EGAPx-Sapelo2&amp;diff=22621"/>
		<updated>2026-01-09T18:36:53Z</updated>

		<summary type="html">&lt;p&gt;Jordan: Updated to reflect that Nextflow v24 is required because the EGAPx developers have not fully updated their scripts to version 2 of Nextflow&amp;#039;s domain-specific language (DSL2) and Nextflow v25 doesn&amp;#039;t tolerate DSL1 artifacts.&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
N/A&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/ncbi/egapx&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/ncbi/egapx: &amp;quot;EGAPx is the publicly accessible version of the updated NCBI Eukaryotic Genome Annotation Pipeline. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
As of 01/06/2026, due to its current implementation of Nextflow, installing EGAPx centrally would potentially run the risk of overwriting important files; it currently also depends on the NCBI C++ toolkit, which has documented security vulnerabilities. As such, this page exists to outline the steps needed to run EGAPx from the /home directory.&lt;br /&gt;
&lt;br /&gt;
First, &amp;lt;u&amp;gt;&amp;lt;b&amp;gt;start an interactive job&amp;lt;/b&amp;gt;&amp;lt;/u&amp;gt; and, in your /home directory, clone the repository and then cd to the new directory that this creates:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
git clone https://github.com/ncbi/egapx.git&lt;br /&gt;
cd egapx&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Since the dependencies for EGAPx are already installed, you don&#039;t need to create a new virtual environment; simply load the relevant software modules:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
ml Nextflow/24.10.2&lt;br /&gt;
ml Python/3.11.3-GCCcore-12.3.0&lt;br /&gt;
ml PyYAML/6.0-GCCcore-12.3.0&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
(Note: while you can almost certainly use other versions of Python and PyYAML, as recent as EGAPx v0.5.0, the developers have been highly inconsistent in their use of version 1 &amp;lt;i&amp;gt;vs&amp;lt;/i&amp;gt;. version 2 of Nextflow&#039;s domain-specific language, or &amp;quot;DSL,&amp;quot; and Nextflow v25 does not tolerate these inconsistencies; &amp;lt;b&amp;gt;therefore, you &amp;lt;i&amp;gt;have to&amp;lt;/i&amp;gt; use Nextflow/24.10.2 in order for the pipeline to run.&amp;lt;/b&amp;gt;)&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
Now you need to run one of the test examples provided by the developers in order to acquire the necessary config files:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
python3 ui/egapx.py ./examples/input_D_farinae_small.yaml -o example_out &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that it isn&#039;t strictly necessary to include &amp;quot;python3&amp;quot; at the start of the command, so long as the &#039;egapx.py&#039; script in the &#039;ui/&#039; directory has executable permissions (which it does by default). Running the execution script the first time will put all of the config files into a new subdirectory in your working directory (&#039;egapx/&#039;) called &#039;egapx_config&#039;. Of these, the one to use is &#039;slurm.config&#039;, which you will need to open with your preferred text editor and make the following changes:&lt;br /&gt;
&lt;br /&gt;
The line&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
cacheDir = &amp;quot;/data/$USER/singularity&amp;quot;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
should be changed to&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
cacheDir = &amp;quot;$PWD/singularity&amp;quot;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
while the section&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
env {&lt;br /&gt;
    SINGULARITY_CACHEDIR=&amp;quot;/data/$USER/singularity&amp;quot;&lt;br /&gt;
    SINGULARITY_TMPDIR=&amp;quot;/data/$USER/tmp&amp;quot;&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
should be changed to:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
env {&lt;br /&gt;
    SINGULARITY_CACHEDIR=&amp;quot;$PWD/singularity&amp;quot;&lt;br /&gt;
    SINGULARITY_TMPDIR=&amp;quot;/$PWD/tmp&amp;quot;&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Finally, in the section called &amp;quot;process,&amp;quot; there are only  three things that need to be un-commented (remove the &amp;quot;//&amp;quot; at the start of the line) and changed as follows:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
queue = &#039;batch&#039;&lt;br /&gt;
queueSize = 20&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
and&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
clusterOptions = &#039; --ntasks=1 &#039;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After this, you can create a job submission script that looks like this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=&amp;lt;u&amp;gt;ExampleJobName&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --cpus-per-task=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=4G&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=48:00:00&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=%x.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=%x.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;ml purge&lt;br /&gt;
&amp;lt;/br&amp;gt;ml Nextflow/24.10.2&lt;br /&gt;
&amp;lt;/br&amp;gt;ml Python/3.11.3-GCCcore-12.3.0&lt;br /&gt;
&amp;lt;/br&amp;gt;ml PyYAML/6.0-GCCcore-12.3.0&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/br&amp;gt;python3 &amp;lt;u&amp;gt;PATH/to/&amp;lt;/u&amp;gt;egapx/ui/egapx.py &amp;lt;u&amp;gt;PATH/to/input_and_database_options.yaml&amp;lt;/u&amp;gt; -e slurm -o &amp;lt;u&amp;gt;PATH/to/Output_Directory&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
In the real submission script, all the above underlined values need to be replaced by the &amp;lt;i&amp;gt;actual&amp;lt;/i&amp;gt; values, particularly the relevant paths. &amp;lt;u&amp;gt;&amp;lt;b&amp;gt;Please note that, while it is perfectly fine to use EGAPx in your /home directory, the input and output directories (i.e., where files will be read from and written to) should &amp;lt;i&amp;gt;NOT&amp;lt;/i&amp;gt; be located in your /home directory;&amp;lt;/u&amp;gt;&amp;lt;/b&amp;gt; please use somewhere else for input (if using local data) and output files, such your /scratch directory.&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Example input YAML file:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
genome: https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/020/809/275/GCF_020809275.1_ASM2080927v1/GCF_020809275.1_ASM2080927v1_genomic.fna.gz&lt;br /&gt;
taxid: 6954&lt;br /&gt;
reads:&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR8506572.1&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR8506572.2&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR9005248.1&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR9005248.2&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
(Please see https://github.com/ncbi/egapx?tab=readme-ov-file#input-data-format for more information on the correct formatting for input data, and https://github.com/ncbi/egapx?tab=readme-ov-file#input-example for more examples.)&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/ncbi/egapx&lt;br /&gt;
&lt;br /&gt;
Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ ui/egapx.py -h&lt;br /&gt;
usage: egapx.py [-h] [-o OUTPUT] [-e EXECUTOR] [-c CONFIG_DIR] [-w WORKDIR] [-r REPORT] [-n] [-st] [-so] [-lo] [-ot ORTHO_TAXID] [-dl] [-lc LOCAL_CACHE] [-q] [-v] [-V] [-fn FUNC_NAME] [filename]&lt;br /&gt;
&lt;br /&gt;
Main script for EGAPx&lt;br /&gt;
&lt;br /&gt;
options:&lt;br /&gt;
  -h, --help            show this help message and exit&lt;br /&gt;
  -e EXECUTOR, --executor EXECUTOR&lt;br /&gt;
                        Nextflow executor, one of docker, singularity, aws, or local (for NCBI internal use only). Uses corresponding Nextflow config file&lt;br /&gt;
  -c CONFIG_DIR, --config-dir CONFIG_DIR&lt;br /&gt;
                        Directory for executor config files, default is ./egapx_config. Can be also set as env EGAPX_CONFIG_DIR&lt;br /&gt;
  -w WORKDIR, --workdir WORKDIR&lt;br /&gt;
                        Working directory for cloud executor&lt;br /&gt;
  -r REPORT, --report REPORT&lt;br /&gt;
                        Report file prefix for report (.report.html) and timeline (.timeline.html) files, default is in output directory&lt;br /&gt;
  -n, --dry-run&lt;br /&gt;
  -st, --stub-run&lt;br /&gt;
  -so, --summary-only   Print result statistics only if available, do not compute result&lt;br /&gt;
  -lo, --logs-only      Collect execution logs if available, put them in output directory, do not compute result&lt;br /&gt;
  -ot ORTHO_TAXID, --ortho-taxid ORTHO_TAXID&lt;br /&gt;
                        Taxid of reference data for orthology tasks&lt;br /&gt;
  -lc LOCAL_CACHE, --local-cache LOCAL_CACHE&lt;br /&gt;
                        Where to store the downloaded files&lt;br /&gt;
  -q, --quiet&lt;br /&gt;
  -v, --verbose&lt;br /&gt;
  -V, --version         Report software version&lt;br /&gt;
  -fn FUNC_NAME, --func_name FUNC_NAME&lt;br /&gt;
                        func_name&lt;br /&gt;
&lt;br /&gt;
run:&lt;br /&gt;
  filename              YAML file with input: section with at least genome: and reads: parameters&lt;br /&gt;
  -o OUTPUT, --output OUTPUT&lt;br /&gt;
                        Output path&lt;br /&gt;
&lt;br /&gt;
download:&lt;br /&gt;
  -dl, --download-only  Download external files to local storage, so that future runs can be isolated&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=EGAPx-Sapelo2&amp;diff=22605</id>
		<title>EGAPx-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=EGAPx-Sapelo2&amp;diff=22605"/>
		<updated>2026-01-06T20:29:53Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
N/A&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/ncbi/egapx&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/ncbi/egapx: &amp;quot;EGAPx is the publicly accessible version of the updated NCBI Eukaryotic Genome Annotation Pipeline. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
As of 01/06/2026, due to its current implementation of Nextflow, installing EGAPx centrally would potentially run the risk of overwriting important files; it currently also depends on the NCBI C++ toolkit, which has documented security vulnerabilities. As such, this page exists to outline the steps needed to run EGAPx from the /home directory.&lt;br /&gt;
&lt;br /&gt;
First, &amp;lt;u&amp;gt;&amp;lt;b&amp;gt;start an interactive job&amp;lt;/b&amp;gt;&amp;lt;/u&amp;gt; and, in your /home directory, clone the repository and then cd to the new directory that this creates:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
git clone https://github.com/ncbi/egapx.git&lt;br /&gt;
cd egapx&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Since the dependencies for EGAPx are already installed, you don&#039;t need to create a new virtual environment; simply load the relevant software modules:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
ml Nextflow/23.10.1&lt;br /&gt;
ml Python/3.11.3-GCCcore-12.3.0&lt;br /&gt;
ml PyYAML/6.0-GCCcore-12.3.0&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Now you need to run one of the test examples provided by the developers in order to acquire the necessary config files:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
python3 ui/egapx.py ./examples/input_D_farinae_small.yaml -o example_out &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that it isn&#039;t strictly necessary to include &amp;quot;python3&amp;quot; at the start of the command, so long as the &#039;egapx.py&#039; script in the &#039;ui/&#039; directory has executable permissions (which it does by default). Running the execution script the first time will put all of the config files into a new subdirectory in your working directory (&#039;egapx/&#039;) called &#039;egapx_config&#039;. Of these, the one to use is &#039;slurm.config&#039;, which you will need to open with your preferred text editor and make the following changes:&lt;br /&gt;
&lt;br /&gt;
The line&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
cacheDir = &amp;quot;/data/$USER/singularity&amp;quot;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
should be changed to&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
cacheDir = &amp;quot;$PWD/singularity&amp;quot;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
while the section&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
env {&lt;br /&gt;
    SINGULARITY_CACHEDIR=&amp;quot;/data/$USER/singularity&amp;quot;&lt;br /&gt;
    SINGULARITY_TMPDIR=&amp;quot;/data/$USER/tmp&amp;quot;&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
should be changed to:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
env {&lt;br /&gt;
    SINGULARITY_CACHEDIR=&amp;quot;$PWD/singularity&amp;quot;&lt;br /&gt;
    SINGULARITY_TMPDIR=&amp;quot;/$PWD/tmp&amp;quot;&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Finally, in the section called &amp;quot;process,&amp;quot; there are only  three things that need to be un-commented (remove the &amp;quot;//&amp;quot; at the start of the line) and changed as follows:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
queue = &#039;batch&#039;&lt;br /&gt;
queueSize = 20&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
and&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
clusterOptions = &#039; --ntasks=1 &#039;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After this, you can create a job submission script that looks like this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=&amp;lt;u&amp;gt;ExampleJobName&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --cpus-per-task=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=4G&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=48:00:00&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=%x.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=%x.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
ml Nextflow/23.10.1&lt;br /&gt;
ml Python/3.11.3-GCCcore-12.3.0&lt;br /&gt;
ml PyYAML/6.0-GCCcore-12.3.0&lt;br /&gt;
&lt;br /&gt;
python3 &amp;lt;u&amp;gt;PATH/to/&amp;lt;/u&amp;gt;egapx/ui/egapx.py &amp;lt;u&amp;gt;PATH/to/input_and_database_options.yaml&amp;lt;/u&amp;gt; -e slurm -o &amp;lt;u&amp;gt;PATH/to/Output_Directory&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
In the real submission script, all the above underlined values need to be replaced by the &amp;lt;i&amp;gt;actual&amp;lt;/i&amp;gt; values, particularly the relevant paths. &amp;lt;u&amp;gt;&amp;lt;b&amp;gt;Please note that, while it is perfectly fine to use EGAPx in your /home directory, the input and output directories (i.e., where files will be read from and written to) should &amp;lt;i&amp;gt;NOT&amp;lt;/i&amp;gt; be located in your /home directory;&amp;lt;/u&amp;gt;&amp;lt;/b&amp;gt; please use somewhere else for input (if using local data) and output files, such your /scratch directory.&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Example input YAML file:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
genome: https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/020/809/275/GCF_020809275.1_ASM2080927v1/GCF_020809275.1_ASM2080927v1_genomic.fna.gz&lt;br /&gt;
taxid: 6954&lt;br /&gt;
reads:&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR8506572.1&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR8506572.2&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR9005248.1&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR9005248.2&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
(Please see https://github.com/ncbi/egapx?tab=readme-ov-file#input-data-format for more information on the correct formatting for input data, and https://github.com/ncbi/egapx?tab=readme-ov-file#input-example for more examples.)&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/ncbi/egapx&lt;br /&gt;
&lt;br /&gt;
Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ ui/egapx.py -h&lt;br /&gt;
usage: egapx.py [-h] [-o OUTPUT] [-e EXECUTOR] [-c CONFIG_DIR] [-w WORKDIR] [-r REPORT] [-n] [-st] [-so] [-lo] [-ot ORTHO_TAXID] [-dl] [-lc LOCAL_CACHE] [-q] [-v] [-V] [-fn FUNC_NAME] [filename]&lt;br /&gt;
&lt;br /&gt;
Main script for EGAPx&lt;br /&gt;
&lt;br /&gt;
options:&lt;br /&gt;
  -h, --help            show this help message and exit&lt;br /&gt;
  -e EXECUTOR, --executor EXECUTOR&lt;br /&gt;
                        Nextflow executor, one of docker, singularity, aws, or local (for NCBI internal use only). Uses corresponding Nextflow config file&lt;br /&gt;
  -c CONFIG_DIR, --config-dir CONFIG_DIR&lt;br /&gt;
                        Directory for executor config files, default is ./egapx_config. Can be also set as env EGAPX_CONFIG_DIR&lt;br /&gt;
  -w WORKDIR, --workdir WORKDIR&lt;br /&gt;
                        Working directory for cloud executor&lt;br /&gt;
  -r REPORT, --report REPORT&lt;br /&gt;
                        Report file prefix for report (.report.html) and timeline (.timeline.html) files, default is in output directory&lt;br /&gt;
  -n, --dry-run&lt;br /&gt;
  -st, --stub-run&lt;br /&gt;
  -so, --summary-only   Print result statistics only if available, do not compute result&lt;br /&gt;
  -lo, --logs-only      Collect execution logs if available, put them in output directory, do not compute result&lt;br /&gt;
  -ot ORTHO_TAXID, --ortho-taxid ORTHO_TAXID&lt;br /&gt;
                        Taxid of reference data for orthology tasks&lt;br /&gt;
  -lc LOCAL_CACHE, --local-cache LOCAL_CACHE&lt;br /&gt;
                        Where to store the downloaded files&lt;br /&gt;
  -q, --quiet&lt;br /&gt;
  -v, --verbose&lt;br /&gt;
  -V, --version         Report software version&lt;br /&gt;
  -fn FUNC_NAME, --func_name FUNC_NAME&lt;br /&gt;
                        func_name&lt;br /&gt;
&lt;br /&gt;
run:&lt;br /&gt;
  filename              YAML file with input: section with at least genome: and reads: parameters&lt;br /&gt;
  -o OUTPUT, --output OUTPUT&lt;br /&gt;
                        Output path&lt;br /&gt;
&lt;br /&gt;
download:&lt;br /&gt;
  -dl, --download-only  Download external files to local storage, so that future runs can be isolated&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=EGAPx-Sapelo2&amp;diff=22604</id>
		<title>EGAPx-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=EGAPx-Sapelo2&amp;diff=22604"/>
		<updated>2026-01-06T20:27:31Z</updated>

		<summary type="html">&lt;p&gt;Jordan: Updated the reasons why we can&amp;#039;t install this centrally on Sapelo2.&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
N/A&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/ncbi/egapx&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/ncbi/egapx: &amp;quot;EGAPx is the publicly accessible version of the updated NCBI Eukaryotic Genome Annotation Pipeline. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
As of 05/20/2025, due to its current implementation of Nextflow, installing EGAPx centrally would potentially run the risk of overwriting important files; it currently also depends on the NCBI C++ toolkit, which has documented security vulnerabilities. As such, this page exists to outline the steps needed to run EGAPx from the /home directory.&lt;br /&gt;
&lt;br /&gt;
First, &amp;lt;u&amp;gt;&amp;lt;b&amp;gt;start an interactive job&amp;lt;/b&amp;gt;&amp;lt;/u&amp;gt; and, in your /home directory, clone the repository and then cd to the new directory that this creates:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
git clone https://github.com/ncbi/egapx.git&lt;br /&gt;
cd egapx&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Since the dependencies for EGAPx are already installed, you don&#039;t need to create a new virtual environment; simply load the relevant software modules:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
ml Nextflow/23.10.1&lt;br /&gt;
ml Python/3.11.3-GCCcore-12.3.0&lt;br /&gt;
ml PyYAML/6.0-GCCcore-12.3.0&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Now you need to run one of the test examples provided by the developers in order to acquire the necessary config files:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
python3 ui/egapx.py ./examples/input_D_farinae_small.yaml -o example_out &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that it isn&#039;t strictly necessary to include &amp;quot;python3&amp;quot; at the start of the command, so long as the &#039;egapx.py&#039; script in the &#039;ui/&#039; directory has executable permissions (which it does by default). Running the execution script the first time will put all of the config files into a new subdirectory in your working directory (&#039;egapx/&#039;) called &#039;egapx_config&#039;. Of these, the one to use is &#039;slurm.config&#039;, which you will need to open with your preferred text editor and make the following changes:&lt;br /&gt;
&lt;br /&gt;
The line&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
cacheDir = &amp;quot;/data/$USER/singularity&amp;quot;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
should be changed to&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
cacheDir = &amp;quot;$PWD/singularity&amp;quot;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
while the section&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
env {&lt;br /&gt;
    SINGULARITY_CACHEDIR=&amp;quot;/data/$USER/singularity&amp;quot;&lt;br /&gt;
    SINGULARITY_TMPDIR=&amp;quot;/data/$USER/tmp&amp;quot;&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
should be changed to:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
env {&lt;br /&gt;
    SINGULARITY_CACHEDIR=&amp;quot;$PWD/singularity&amp;quot;&lt;br /&gt;
    SINGULARITY_TMPDIR=&amp;quot;/$PWD/tmp&amp;quot;&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Finally, in the section called &amp;quot;process,&amp;quot; there are only  three things that need to be un-commented (remove the &amp;quot;//&amp;quot; at the start of the line) and changed as follows:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
queue = &#039;batch&#039;&lt;br /&gt;
queueSize = 20&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
and&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
clusterOptions = &#039; --ntasks=1 &#039;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
After this, you can create a job submission script that looks like this:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=&amp;lt;u&amp;gt;ExampleJobName&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --cpus-per-task=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=4G&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=48:00:00&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=%x.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=%x.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
ml Nextflow/23.10.1&lt;br /&gt;
ml Python/3.11.3-GCCcore-12.3.0&lt;br /&gt;
ml PyYAML/6.0-GCCcore-12.3.0&lt;br /&gt;
&lt;br /&gt;
python3 &amp;lt;u&amp;gt;PATH/to/&amp;lt;/u&amp;gt;egapx/ui/egapx.py &amp;lt;u&amp;gt;PATH/to/input_and_database_options.yaml&amp;lt;/u&amp;gt; -e slurm -o &amp;lt;u&amp;gt;PATH/to/Output_Directory&amp;lt;/u&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
In the real submission script, all the above underlined values need to be replaced by the &amp;lt;i&amp;gt;actual&amp;lt;/i&amp;gt; values, particularly the relevant paths. &amp;lt;u&amp;gt;&amp;lt;b&amp;gt;Please note that, while it is perfectly fine to use EGAPx in your /home directory, the input and output directories (i.e., where files will be read from and written to) should &amp;lt;i&amp;gt;NOT&amp;lt;/i&amp;gt; be located in your /home directory;&amp;lt;/u&amp;gt;&amp;lt;/b&amp;gt; please use somewhere else for input (if using local data) and output files, such your /scratch directory.&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
Example input YAML file:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
genome: https://ftp.ncbi.nlm.nih.gov/genomes/all/GCF/020/809/275/GCF_020809275.1_ASM2080927v1/GCF_020809275.1_ASM2080927v1_genomic.fna.gz&lt;br /&gt;
taxid: 6954&lt;br /&gt;
reads:&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR8506572.1&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR8506572.2&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR9005248.1&lt;br /&gt;
  - https://ftp.ncbi.nlm.nih.gov/genomes/TOOLS/EGAP/data/Dermatophagoides_farinae_small/SRR9005248.2&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
(Please see https://github.com/ncbi/egapx?tab=readme-ov-file#input-data-format for more information on the correct formatting for input data, and https://github.com/ncbi/egapx?tab=readme-ov-file#input-example for more examples.)&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/ncbi/egapx&lt;br /&gt;
&lt;br /&gt;
Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ ui/egapx.py -h&lt;br /&gt;
usage: egapx.py [-h] [-o OUTPUT] [-e EXECUTOR] [-c CONFIG_DIR] [-w WORKDIR] [-r REPORT] [-n] [-st] [-so] [-lo] [-ot ORTHO_TAXID] [-dl] [-lc LOCAL_CACHE] [-q] [-v] [-V] [-fn FUNC_NAME] [filename]&lt;br /&gt;
&lt;br /&gt;
Main script for EGAPx&lt;br /&gt;
&lt;br /&gt;
options:&lt;br /&gt;
  -h, --help            show this help message and exit&lt;br /&gt;
  -e EXECUTOR, --executor EXECUTOR&lt;br /&gt;
                        Nextflow executor, one of docker, singularity, aws, or local (for NCBI internal use only). Uses corresponding Nextflow config file&lt;br /&gt;
  -c CONFIG_DIR, --config-dir CONFIG_DIR&lt;br /&gt;
                        Directory for executor config files, default is ./egapx_config. Can be also set as env EGAPX_CONFIG_DIR&lt;br /&gt;
  -w WORKDIR, --workdir WORKDIR&lt;br /&gt;
                        Working directory for cloud executor&lt;br /&gt;
  -r REPORT, --report REPORT&lt;br /&gt;
                        Report file prefix for report (.report.html) and timeline (.timeline.html) files, default is in output directory&lt;br /&gt;
  -n, --dry-run&lt;br /&gt;
  -st, --stub-run&lt;br /&gt;
  -so, --summary-only   Print result statistics only if available, do not compute result&lt;br /&gt;
  -lo, --logs-only      Collect execution logs if available, put them in output directory, do not compute result&lt;br /&gt;
  -ot ORTHO_TAXID, --ortho-taxid ORTHO_TAXID&lt;br /&gt;
                        Taxid of reference data for orthology tasks&lt;br /&gt;
  -lc LOCAL_CACHE, --local-cache LOCAL_CACHE&lt;br /&gt;
                        Where to store the downloaded files&lt;br /&gt;
  -q, --quiet&lt;br /&gt;
  -v, --verbose&lt;br /&gt;
  -V, --version         Report software version&lt;br /&gt;
  -fn FUNC_NAME, --func_name FUNC_NAME&lt;br /&gt;
                        func_name&lt;br /&gt;
&lt;br /&gt;
run:&lt;br /&gt;
  filename              YAML file with input: section with at least genome: and reads: parameters&lt;br /&gt;
  -o OUTPUT, --output OUTPUT&lt;br /&gt;
                        Output path&lt;br /&gt;
&lt;br /&gt;
download:&lt;br /&gt;
  -dl, --download-only  Download external files to local storage, so that future runs can be isolated&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=22594</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=22594"/>
		<updated>2025-12-05T15:05:13Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
3.0.0, 3.0.1&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU and memory intensive, meaning that it will only run on the A100 and H100 nodes and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). &amp;lt;b&amp;gt;Furthemore, the &amp;quot;unifiedmem&amp;quot; and &amp;quot;JSON-4&amp;quot; versions have unified memory enabled, which allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are large enough to exceed the standard maximum of 5,120 tokens; not only does this substantially increase run times, it will also &amp;lt;i&amp;gt;only&amp;lt;/i&amp;gt; work on the A100 nodes due to architectural conflicts with the H100 nodes. To use either of these versions with a large protein or other complex, please use the following Slurm header in your submission script in place of the corresponding &amp;quot;--gres&amp;quot; header seen in the sample job below (and note that you can remove the &amp;quot;#SBATCH --constraint&amp;quot; header for this):&amp;lt;/b&amp;gt;&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
...&lt;br /&gt;
#SBATCH --gres=gpu:A100:1&lt;br /&gt;
...&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless. While tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; currently this is only available directly from Google, and can be obtained by completing the form found here: https://docs.google.com/forms/d/e/1FAIpQLSfWZAgo1aYk0O4MuAXZj8xRQ8DafeFJnldNOnh_13qAx2ceZw/viewform. Once these are obtained and placed somewhere in your storage space on Sapelo2 (/home or /work is recommended), they must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /Path/to/model_parameters:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.1-JSON-4.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
You can find extensive information on formatting input JSON files &amp;lt;u&amp;gt;[https://github.com/google-deepmind/alphafold3/blob/main/docs/input.md here]&amp;lt;/u&amp;gt;, but the following is a simple example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=22561</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=22561"/>
		<updated>2025-09-25T20:27:14Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
3.0.0, 3.0.1&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU and memory intensive, meaning that it will only run on the A100 and H100 nodes and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). &amp;lt;b&amp;gt;Furthemore, the &amp;quot;unifiedmem&amp;quot; and &amp;quot;JSON-4&amp;quot; versions have unified memory enabled, which allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are large enough to exceed the standard maximum of 5,120 tokens; not only does this substantially increase run times, it will also &amp;lt;i&amp;gt;only&amp;lt;/i&amp;gt; work on the A100 nodes due to architectural conflicts with the H100 nodes. To use either of these versions with a large protein or other complex, please use the following Slurm header in your submission script in place of the corresponding &amp;quot;--gres&amp;quot; header seen in the sample job below (and note that you can remove the &amp;quot;#SBATCH --constraint&amp;quot; header for this):&amp;lt;/b&amp;gt;&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
...&lt;br /&gt;
#SBATCH --gres=gpu:A100:1&lt;br /&gt;
...&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless. While tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,300 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; currently this is only available directly from Google, and can be obtained by completing the form found here: https://docs.google.com/forms/d/e/1FAIpQLSfWZAgo1aYk0O4MuAXZj8xRQ8DafeFJnldNOnh_13qAx2ceZw/viewform. Once these are obtained and placed somewhere in your storage space on Sapelo2 (/home or /work is recommended), they must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /Path/to/model_parameters:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.0.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Example input JSON file:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=22560</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=22560"/>
		<updated>2025-09-24T13:55:49Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
3.0.0, 3.0.1&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU and memory intensive, meaning that it will only run on the A100 and H100 nodes and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). &amp;lt;b&amp;gt;Furthemore, the &amp;quot;unifiedmem&amp;quot; and &amp;quot;JSON-4&amp;quot; versions have unified memory enabled, which allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are large enough to exceed the standard maximum of 5,120 tokens; not only does this substantially increase run times, it will also &amp;lt;i&amp;gt;only&amp;lt;/i&amp;gt; work on the A100 nodes due to architectural conflicts with the H100 nodes. To use either of these versions with a large protein or other complex, please use the following Slurm header in your submission script in place of the corresponding &amp;quot;--gres&amp;quot; header seen in the sample job below (and note that you can remove the &amp;quot;#SBATCH --constraint&amp;quot; header for this):&amp;lt;/b&amp;gt;&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
...&lt;br /&gt;
#SBATCH --gres=gpu:A100:1&lt;br /&gt;
...&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please also note that like many AI tools, AlphaFold is prone to &amp;quot;hallucinations&amp;quot; when dealing with inputs that are too large; this mostly manifests as results with polypeptides predicted to occupy the same 3D space, which obviously makes these results useless. While tests with a complex of up to ~9,700 tokens (the urease complex from &amp;lt;i&amp;gt;Helicobacter pylori&amp;lt;/i&amp;gt;) completed successfully, to date, the largest complex observed to run &amp;lt;b&amp;gt;correctly&amp;lt;/b&amp;gt; was ~7,500 tokens (the ornithine decarboxylase, specifically &amp;lt;i&amp;gt;SpeF&amp;lt;/i&amp;gt;, complex from &amp;lt;i&amp;gt;Salmonella&amp;lt;/i&amp;gt;). &lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
&amp;lt;/br&amp;gt;&lt;br /&gt;
AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; currently this is only available directly from Google, and can be obtained by completing the form found here: https://docs.google.com/forms/d/e/1FAIpQLSfWZAgo1aYk0O4MuAXZj8xRQ8DafeFJnldNOnh_13qAx2ceZw/viewform. Once these are obtained and placed somewhere in your storage space on Sapelo2 (/home or /work is recommended), they must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /Path/to/model_parameters:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.0.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Example input JSON file:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=22552</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=22552"/>
		<updated>2025-09-12T19:21:28Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
3.0.0, 3.0.1&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU and memory intensive, meaning that it will only run on the A100 and H100 nodes and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). &amp;lt;b&amp;gt;Furthemore, the &amp;quot;unifiedmem&amp;quot; and &amp;quot;JSON-4&amp;quot; versions have unified memory enabled, which allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are large enough to exceed the standard maximum of 5,120 tokens; not only does this substantially increase run times, it will also &amp;lt;i&amp;gt;only&amp;lt;/i&amp;gt; work on the A100 nodes due to architectural conflicts with the H100 nodes. To use either of these versions with a large protein or other complex, please use the following Slurm header in your submission script in place of the corresponding &amp;quot;--gres&amp;quot; header seen in the sample job below (and note that you don&#039;t need the &amp;quot;constraint&amp;quot; header for this):&amp;lt;/b&amp;gt;&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
...&lt;br /&gt;
#SBATCH --gres=gpu:A100:1&lt;br /&gt;
...&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; currently this is only available directly from Google, and can be obtained by completing the form found here: https://docs.google.com/forms/d/e/1FAIpQLSfWZAgo1aYk0O4MuAXZj8xRQ8DafeFJnldNOnh_13qAx2ceZw/viewform. Once these are obtained and placed somewhere in your storage space on Sapelo2 (/home or /work is recommended), they must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /Path/to/model_parameters:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.0.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Example input JSON file:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=22551</id>
		<title>AlphaFold3-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold3-Sapelo2&amp;diff=22551"/>
		<updated>2025-09-12T19:20:11Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
3.0.0, 3.0.1&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/google-deepmind/alphafold3: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold 3. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 3.0.0&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container, of which there are currently two versions available:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.0-CCDpatched.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Both of these containers have worked for multiple users, but the second one (&amp;quot;CCDpatched&amp;quot;) seems to work better for users working on proteins with one or more ligands. You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
This version is installed as a singularity container:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-unifiedmem.sif&lt;br /&gt;
&lt;br /&gt;
/apps/singularity-images/alphafold-3.0.1-JSON-4.sif&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can view the documentation for this version of AlphaFold with the following command, in an interactive job (i.e., NOT a login/submit node, where Singularity does not work):&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
singularity exec /apps/singularity-images/alphafold-3.0.1.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
Note that AlphaFold 3 is GPU dependent while also being CPU and memory intensive, meaning that it will only run on the A100 and H100 nodes and needs numerous CPUs to run in a timely/efficient manner (see the example job submission script below). &amp;lt;b&amp;gt;Furthemore, the &amp;quot;unifiedmem&amp;quot; and &amp;quot;JSON-4&amp;quot; versions have unified memory enabled, which allows the GPU device to &amp;quot;borrow&amp;quot; host memory from the node for proteins and other complexes that are large enough to exceed the standard maximum of 5,120 tokens; not only does this substantially increase run times, it will also &amp;lt;i&amp;gt;only&amp;lt;/i&amp;gt; work on the A100 nodes due to architectural conflicts with the H100 nodes; to use this version, please use the following Slurm header in your submission script in place of the corresponding &amp;quot;--gres&amp;quot; header seen in the sample job below (and note that you don&#039;t need the &amp;quot;constraint&amp;quot; header for this):&amp;lt;/b&amp;gt;&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
...&lt;br /&gt;
#SBATCH --gres=gpu:A100:1&lt;br /&gt;
...&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 also depends on a set of database files, the current versions of which can be found at /db/AlphaFold3/20241114, and a file containing the model parameters; currently this is only available directly from Google, and can be obtained by completing the form found here: https://docs.google.com/forms/d/e/1FAIpQLSfWZAgo1aYk0O4MuAXZj8xRQ8DafeFJnldNOnh_13qAx2ceZw/viewform. Once these are obtained and placed somewhere in your storage space on Sapelo2 (/home or /work is recommended), they must be included with the &#039;-B&#039; or &amp;quot;--bind&amp;quot; option at runtime, as must the location of the input file and output directory (see example below).&lt;br /&gt;
&lt;br /&gt;
Sample job submission script to run the singularity container for v3.0.0 on a GPU:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold3			#Name your job something original&lt;br /&gt;
#SBATCH --partition=gpu_p			#Use the GPU partition&lt;br /&gt;
#SBATCH --ntasks=1		&lt;br /&gt;
#SBATCH --cpus-per-task=32			#If you use the default options, AlphaFold3 will run four simutaneous Jackhmmer processes with 8 CPUs each&lt;br /&gt;
#SBATCH --gres=gpu:1				#If you don’t care whether your job uses an A100 node or an H100 node (and there isn’t much difference in run time)…&lt;br /&gt;
#SBATCH --constraint=Milan|SapphireRapids	#…this is the easiest way to specify either one without accidentally using a P100 or L4, which lack sufficient device memory&lt;br /&gt;
#SBATCH --mem=60gb&lt;br /&gt;
#SBATCH --time=120:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
singularity exec \&lt;br /&gt;
     --nv \&lt;br /&gt;
     --bind /Path/to/input/file:/root/af_input \&lt;br /&gt;
     --bind /Path/to/output_directory:/root/af_output \&lt;br /&gt;
     --bind /Path/to/model_parameters:/root/models \&lt;br /&gt;
     --bind /db/AlphaFold3/20241114:/root/public_databases \&lt;br /&gt;
     /apps/singularity-images/alphafold-3.0.0.sif \&lt;br /&gt;
     python /app/alphafold/run_alphafold.py \&lt;br /&gt;
     --json_path=/root/af_input/NAME_OF_INPUT_FILE.json \&lt;br /&gt;
     --model_dir=/root/models \&lt;br /&gt;
     --db_dir=/root/public_databases \&lt;br /&gt;
     --output_dir=/root/af_output&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Example input JSON file:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
{&lt;br /&gt;
  &amp;quot;name&amp;quot;: &amp;quot;2PV7&amp;quot;,&lt;br /&gt;
  &amp;quot;sequences&amp;quot;: [&lt;br /&gt;
    {&lt;br /&gt;
      &amp;quot;protein&amp;quot;: {&lt;br /&gt;
        &amp;quot;id&amp;quot;: [&amp;quot;A&amp;quot;, &amp;quot;B&amp;quot;],&lt;br /&gt;
        &amp;quot;sequence&amp;quot;: &amp;quot;GMRESYANENQFGFKTINSDIHKIVIVGGYGKLGGLFARYLRASGYPISILDREDWAVAESILANADVVIVSVPINLTLETIERLKPYLTENMLLADLTSVKREPLAKMLEVHTGAVLGLHPMFGADIASMAKQVVVRCDGRFPERYEWLLEQIQIWGAKIYQTNATEHDHNMTYIQALRHFSTFANGLHLSKQPINLANLLALSSPIYRLELAMIGRLFAQDAELYADIIMDKSENLAVIETLKQTYDEKQTYDEALTFFENNDRQGFIDAFHKVRDWFGDYSEQFLKESRQLLQQANDLKQG&amp;quot;&lt;br /&gt;
      }&lt;br /&gt;
    }&lt;br /&gt;
  ],&lt;br /&gt;
  &amp;quot;modelSeeds&amp;quot;: [1],&lt;br /&gt;
  &amp;quot;dialect&amp;quot;: &amp;quot;alphafold3&amp;quot;,&lt;br /&gt;
  &amp;quot;version&amp;quot;: 1&lt;br /&gt;
}&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note: the above homodimer protein runs on both the H100 and A100 nodes in under an hour with 32 CPUs, so if you find your job is sitting in the queue for long periods of time, you could consider requesting significantly less than 120 hours (especially if your protein is either small or is otherwise well characterized and thus likely to align to the databases relatively quickly).&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at: https://github.com/google-deepmind/alphafold3&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.0.0:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ singularity exec /apps/singularity-images/alphafold-3.0.0.sif python /app/alphafold/run_alphafold.py --helpfull&lt;br /&gt;
AlphaFold 3 structure prediction script.&lt;br /&gt;
&lt;br /&gt;
AlphaFold 3 source code is licensed under CC BY-NC-SA 4.0. To view a copy of&lt;br /&gt;
this license, visit https://creativecommons.org/licenses/by-nc-sa/4.0/&lt;br /&gt;
&lt;br /&gt;
To request access to the AlphaFold 3 model parameters, follow the process set&lt;br /&gt;
out at https://github.com/google-deepmind/alphafold3. You may only use these&lt;br /&gt;
if received directly from Google. Use is subject to terms of use available at&lt;br /&gt;
https://github.com/google-deepmind/alphafold3/blob/main/WEIGHTS_TERMS_OF_USE.md&lt;br /&gt;
&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/app/alphafold/run_alphafold.py:&lt;br /&gt;
  --buckets: Strictly increasing order of token sizes for which to cache compilations. For any input with more tokens than the largest bucket size, a new bucket is created for exactly that number of tokens.&lt;br /&gt;
    (default: &#039;256,512,768,1024,1280,1536,2048,2560,3072,3584,4096,4608,5120&#039;)&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --db_dir: Path to the directory containing the databases.&lt;br /&gt;
    (default: &#039;/home/MyID/public_databases&#039;)&lt;br /&gt;
  --flash_attention_implementation: &amp;lt;triton|cudnn|xla&amp;gt;: Flash attention implementation to use. &#039;triton&#039; and &#039;cudnn&#039; uses a Triton and cuDNN flash attention implementation, respectively. The Triton kernel is fastest and has been tested more thoroughly. The Triton and cuDNN&lt;br /&gt;
    kernels require Ampere GPUs or later. &#039;xla&#039; uses an XLA attention implementation (no flash attention) and is portable across GPU devices.&lt;br /&gt;
    (default: &#039;triton&#039;)&lt;br /&gt;
  --hmmalign_binary_path: Path to the Hmmalign binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmalign&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the Hmmbuild binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the Hmmsearch binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/hmmsearch&#039;)&lt;br /&gt;
  --input_dir: Path to the directory containing input JSON files.&lt;br /&gt;
  --jackhmmer_binary_path: Path to the Jackhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/jackhmmer&#039;)&lt;br /&gt;
  --jackhmmer_n_cpu: Number of CPUs to use for Jackhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --jax_compilation_cache_dir: Path to a directory for the JAX compilation cache.&lt;br /&gt;
  --json_path: Path to the input JSON file.&lt;br /&gt;
  --mgnify_database_path: Mgnify database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_dir: Path to the model to use for inference.&lt;br /&gt;
    (default: &#039;/home/MyID/models&#039;)&lt;br /&gt;
  --nhmmer_binary_path: Path to the Nhmmer binary.&lt;br /&gt;
    (default: &#039;/hmmer/bin/nhmmer&#039;)&lt;br /&gt;
  --nhmmer_n_cpu: Number of CPUs to use for Nhmmer. Default to min(cpu_count, 8). Going beyond 8 CPUs provides very little additional speedup.&lt;br /&gt;
    (default: &#039;8&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --ntrna_database_path: NT-RNA database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/nt_rna_2023_02_23_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --output_dir: Path to a directory where the results will be saved.&lt;br /&gt;
  --pdb_database_path: PDB database directory with mmCIF files path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_2022_09_28_mmcif_files.tar&#039;)&lt;br /&gt;
  --rfam_database_path: Rfam database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rfam_14_9_clust_seq_id_90_cov_80_rep_seq.fasta&#039;)&lt;br /&gt;
  --rna_central_database_path: RNAcentral database path, used for RNA MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/rnacentral_active_seq_id_90_cov_80_linclust.fasta&#039;)&lt;br /&gt;
  --[no]run_data_pipeline: Whether to run the data pipeline on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]run_inference: Whether to run inference on the fold inputs.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --seqres_database_path: PDB sequence database path, used for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/pdb_seqres_2022_09_28.fasta&#039;)&lt;br /&gt;
  --small_bfd_database_path: Small BFD database path, used for protein MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/bfd-first_non_consensus_sequences.fasta&#039;)&lt;br /&gt;
  --uniprot_cluster_annot_database_path: UniProt database path, used for protein paired MSA search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniprot_all_2021_04.fa&#039;)&lt;br /&gt;
  --uniref90_database_path: UniRef90 database path, used for MSA search. The MSA obtained by searching it is used to construct the profile for template search.&lt;br /&gt;
    (default: &#039;${DB_DIR}/uniref90_2022_05.fa&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
chex._src.fake:&lt;br /&gt;
  --[no]chex_assert_multiple_cpu_devices: Whether to fail if a number of CPU devices is less than 2.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --chex_n_cpu_devices: Number of CPU threads to use as devices in tests.&lt;br /&gt;
    (default: &#039;1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
chex._src.variants:&lt;br /&gt;
  --[no]chex_skip_pmap_variant_if_single_device: Whether to skip pmap variant if only one device is available.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Bracken-Sapelo2&amp;diff=22545</id>
		<title>Bracken-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Bracken-Sapelo2&amp;diff=22545"/>
		<updated>2025-08-27T15:21:15Z</updated>

		<summary type="html">&lt;p&gt;Jordan: Created this page to correspond to making the database files available in /db/Bracken/&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]&lt;br /&gt;
=== Category ===&lt;br /&gt;
&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
3.1&lt;br /&gt;
 &lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
[https://github.com/jenniferlu717/Bracken Bracken]&lt;br /&gt;
 &lt;br /&gt;
=== Description ===&lt;br /&gt;
&amp;quot;Bracken (Bayesian Reestimation of Abundance with KrakEN) is a highly accurate statistical method that computes the abundance of species in DNA sequences from a metagenomics sample. Braken uses the taxonomy labels assigned by Kraken, a highly accurate metagenomics classification algorithm, to estimate the number of reads originating from each species present in a sample. Kraken classifies reads to the best matching location in the taxonomic tree, but does not estimate abundances of species. We use the Kraken database itself to derive probabilities that describe how much sequence from each genome is identical to other genomes in the database, and combine this information with the assignments for a particular sample to estimate abundance at the species level, the genus level, or above. Combined with the Kraken classifier, Bracken produces accurate species- and genus-level abundance estimates even when a sample contains two or more near-identical species. &lt;br /&gt;
&lt;br /&gt;
NOTE: Bracken is compatible with both Kraken 1 and Kraken 2. However, the default kmer length is different depending on the version of Kraken used. If you use Kraken 1 defaults, specify 31 as the kmer length. If you use Kraken 2 defaults, specify 35 as the kmer length.&amp;quot;&lt;br /&gt;
More details are at [https://ccb.jhu.edu/software/bracken/ Bracken instructions]&lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
We currently have the latest version of the following databases for Bracken available in /db/Bracken/20250827/:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
bacteria&lt;br /&gt;
core_nt&lt;br /&gt;
eupathdb&lt;br /&gt;
fungi&lt;br /&gt;
gtdb&lt;br /&gt;
pluspf&lt;br /&gt;
pluspfp&lt;br /&gt;
pluspfp-16&lt;br /&gt;
viral&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
The bacteria database has been created for a read length of 100 (which is the default for Bracken), while the fungi and viral databases are for a read length of 150; all other databases can accommodate read lengths of 50, 75, 100, 150, 200, 250, and 300. Note, however, that only core_nt,  eupathdb, gtdb, pluspf, pluspfp, and pluspfp-16 are also available for Kraken2 in /db/kraken2/20250814/.&lt;br /&gt;
&lt;br /&gt;
Bracken analysis involves two steps, the first with Kraken 1 or 2 (Kraken2 is recommended as it involves only a single command and we also no longer have any Kraken1 databases available, so if you want to use Kraken1 you will need to acquire these for yourself) to generate a report file based on your FASTQ-formatted metagenomics sample, and the second with Bracken itself to estimate species- or other taxon-level abundances based on this report file. More detailed information can be found in the directions in the [https://github.com/jenniferlu717/Bracken#step-2-run-kraken-1-or-kraken-2-or-krakenuniq-and-generate-a-report-file GitHub] repository, bearing in mind that what you&#039;re doing is what the developers call &amp;quot;Step 2&amp;quot; and &amp;quot;Step 3&amp;quot; (&amp;lt;i&amp;gt;their&amp;lt;/i&amp;gt; &amp;quot;Step 1&amp;quot; is to generate the Braken database files, but this isn&#039;t necessary because we already have them available).&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 3.1&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Version 3.1, installed at &lt;br /&gt;
&lt;br /&gt;
* /apps/eb/Bracken/3.1-GCCcore-12.3.0/&lt;br /&gt;
&lt;br /&gt;
To use it, please load the module with:&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
module load Bracken/3.1-GCCcore-12.3.0&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that you need to load Kraken (if you use Kraken1 then you&#039;ll need to load it &amp;lt;b&amp;gt;before you load Bracken&amp;lt;/b&amp;gt;, run the first step mentioned above, and then unload it before loading Bracken as we do not have Kraken1 installed with a compatible toolchain) and it&#039;s a good idea to load a toolchain-compatible version of Python (i.e., Python/3.11.3-GCCcore-12.3.0), as well.&lt;br /&gt;
&lt;br /&gt;
Here is an example of a shell script sub.sh to run Bracken the batch partition using a read length of 150 and the PlusPF Kraken2/Bracken database: &lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=BrackenJob&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --cpus-per-task=&amp;lt;u&amp;gt;4&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem&amp;lt;u&amp;gt;100gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;      &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=log.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=log.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
module load Bracken/3.1-GCCcore-12.3.0&amp;lt;br&amp;gt;&lt;br /&gt;
module load Kraken2/2.1.3-gompi-2023a&amp;lt;br&amp;gt;&lt;br /&gt;
module load Python/3.11.3-GCCcore-12.3.0&amp;lt;br&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;Do Step 1, where &amp;quot;SAMPLE.fastq&amp;quot; is the input file containing your metagenomics sequencing reads&amp;lt;br&amp;gt;&lt;br /&gt;
kraken2 --db /db/kraken2/20250814/pluspf --threads &amp;lt;u&amp;gt;4&amp;lt;/u&amp;gt; --report SAMPLE.kreport SAMPLE.fastq &amp;gt; SAMPLE.kraken&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;Do Step 2 using the .kreport file generated in Step 1 as the input&amp;lt;br&amp;gt;&lt;br /&gt;
bracken -d /db/Bracken/20250827/pluspf -i ./SAMPLE.kreport -r 150 -o ./SAMPLE_150mers.bracken&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
In the real submission script, at least all the above underlined values need to be reviewed or to be replaced by the proper values (make sure the value you use for &amp;quot;--cpus-per-task=&amp;quot; in the Slurm headers is the same as that used for &amp;quot;--threads&amp;quot; in the Kraken2 command)&lt;br /&gt;
&lt;br /&gt;
Here is an example of job submission command:&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
sbatch ./sub.sh &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
 &lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
$ module load Bracken/3.1-GCCcore-12.3.0&lt;br /&gt;
$ bracken -h&lt;br /&gt;
Usage: bracken -v -d MY_DB -i INPUT -o OUTPUT -w OUTREPORT -r READ_LEN -l LEVEL -t THRESHOLD&lt;br /&gt;
  -v             Echoes the current software version and exits&lt;br /&gt;
  MY_DB          location of Kraken database&lt;br /&gt;
  INPUT          Kraken REPORT file to use for abundance estimation&lt;br /&gt;
  OUTPUT         file name for Bracken default output&lt;br /&gt;
  OUTREPORT      New Kraken REPORT output file with Bracken read estimates&lt;br /&gt;
  READ_LEN       read length to get all classifications for (default: 100)&lt;br /&gt;
  LEVEL          level to estimate abundance at [options: D,P,C,O,F,G,S,S1,etc] (default: S)&lt;br /&gt;
  THRESHOLD      number of reads required PRIOR to abundance estimation to perform reestimation (default: 0)&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
[[#top|Back to Top]]&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
 &lt;br /&gt;
source code from [https://github.com/jenniferlu717/Bracken Bracken]&lt;br /&gt;
 &lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Software&amp;diff=22544</id>
		<title>Software</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Software&amp;diff=22544"/>
		<updated>2025-08-27T14:30:04Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Partial List of Installed Software */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;On Sapelo2 and on the Teaching cluster users have the option to install their own software or use software installed centrally by the GACRC staff. Detailed information on how to find and access software packages installed on Sapelo2 are available at the [[Software on Sapelo2]] page and on the teaching cluster at the [[Software on Teaching Cluster]] page.&lt;br /&gt;
&lt;br /&gt;
Below is a very limited list of software packages installed on Sapelo2 and on the Teaching cluster. We only intend to make an application page for software packages that requires extra documentation not covered in [[Software on Sapelo2]] or [[Software on Teaching Cluster]].&lt;br /&gt;
&lt;br /&gt;
To view a list of all modules installed on Sapelo2/Teaching, along with a short description of each module, please run the following command on Sapelo2/Teaching:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
module spider&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
You can also use the command above to search for a specific application. For more information, please see [[Lmod]].&lt;br /&gt;
&lt;br /&gt;
The &#039;&#039;&#039;file transfer&#039;&#039;&#039; nodes (&#039;&#039;&#039;xfer&#039;&#039;&#039; nodes) do not have environment modules installed. File transfer utilities are installed centrally on the xfer nodes and available on the users&#039; default PATH. Such utilities include bs (basespace-cli), fpsync, rclone, rsync, etc.&lt;br /&gt;
https://wiki.gacrc.uga.edu/wiki/Main_Page&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; Although we have not made individual software pages for the applications installed on Sapelo2, there are currently over 1300 software packages installed there. For more information, please see [[Software on Sapelo2]].&lt;br /&gt;
&lt;br /&gt;
==Partial List of Installed Software==&lt;br /&gt;
Last updated &#039;&#039;&#039;{{REVISIONYEAR}}-{{REVISIONMONTH}}-{{REVISIONDAY2}}&#039;&#039;&#039;. This is a partial list of installed software so there may be software or versions of software available on Sapelo2 which are not included in this table. &lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; Click on the icons to the right of the column headings to sort the table.&lt;br /&gt;
[[#0|0-9]] [[#A|A]] [[#B|B]] [[#C|C]] [[#D|D]] [[#E|E]] [[#F|F]] [[#G|G]] [[#H|H]] [[#I|I]] [[#J|J]] [[#K|K]] [[#L|L]] [[#M|M]] [[#N|N]] [[#O|O]] [[#P|P]] [[#Q|Q]] [[#R|R]] [[#S|S]] [[#T|T]] [[#U|U]] [[#V|V]] [[#W|W]] [[#X|X]] [[#Y|Y]] [[#Z|Z]]&lt;br /&gt;
{|  width=&amp;quot;100%&amp;quot; border=&amp;quot;1&amp;quot;  cellspacing=&amp;quot;0&amp;quot; cellpadding=&amp;quot;2&amp;quot; align=&amp;quot;center&amp;quot;  class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; width=&amp;quot;200px&amp;quot;| Name&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; class=&amp;quot;unsortable&amp;quot; width=&amp;quot;240px&amp;quot;| Version&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; width=&amp;quot;160px&amp;quot;| Category&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; width=&amp;quot;60px&amp;quot;| Cluster&lt;br /&gt;
! scope=&amp;quot;col&amp;quot; width=&amp;quot;20px&amp;quot;| Top &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!--LIST BEGIN--&amp;gt;&lt;br /&gt;
&amp;lt;!--| &amp;lt;span id =&amp;quot;0&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[3D-DNA-sapelo2 |3D-DNA]] || 180922 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!--| &amp;lt;span id =&amp;quot;0&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[00Template-sapelo2 |00Template]] || 180922 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[3SEQ-Sapelo2 |3SEQ]] || 1.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[4p-Sapelo2 |4p]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;A&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[ABySS-Sapelo2|ABySS]] || 1.9.0, 2.0.2, 2.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ADMIXTURE-Sapelo2|ADMIXTURE]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[aeneas-Sapelo2|aeneas]] || 1.7.3 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AFNI-Sapelo2|AFNI]] || 17.3.05 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AGAT-Sapelo2|AGAT]] || 0.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AGEnt-Sapelo2|AGEnt]] || 0.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AIM-HII-Sapelo2|AIM-HII]] || 0.5.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[albacore-Sapelo2|Albacore]] || 2.3.4-cp35 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;A&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[AlphaFold-Sapelo2|AlphaFold 2]] || 2.2.4, 2.3.1, 2.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;A&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[AlphaFold3-Sapelo2|AlphaFold 3]] || 3.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[AlignGraph-Sapelo2|AlignGraph]] || 20180709 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AlleleSeq_pipeline-Sapelo2|AlleleSeq_pipeline]] || 1.2a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ALLHiC-Sapelo2|ALLHiC]] || 0.8.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Allim-Sapelo2|Allim]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ALLMAPS-Sapelo2|ALLMAPS]] || 20190208 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[AMBER-Sapelo2|AMBER]] || 22 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AMBER-Teaching|AMBER]] || 22 || [[:Category:Chemistry|Chemistry]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AMOS-Sapelo2|AMOS]] || 3.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Anaconda2-Sapelo2|Anaconda2]] || 5.0.1, 2018.12, 2019.03 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Anaconda3-Sapelo2|Anaconda3]] || 5.0.1, 2018.12, 2019.03 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ANGEL-Sapelo2|ANGEL]] || 2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[annovar-Sapelo2|annovar]] || 2017Jul16 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:sapelo2|sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ANSYS-Sapelo2|ANSYS]] || 18.2, 19.2 || [[:Category:Engineering|Engineering]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[antiSMASH-Sapelo2|antiSMASH]] || 4.2.0, 5.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:sapelo2|sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[anvi&#039;o-Sapelo2|anvi&#039;o]] || 4, 5.1, 5.3, 5.4, 6.1, 7, 7.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:sapelo2|sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Apollo-Sapelo2|Apollo]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:sapelo2|sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Aragorn-Sapelo2|Aragorn]] || 1.2.38 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Arlequin-Sapelo2|Arlequin]] || 3.5.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ART-Sapelo2|ART]] || 20160605 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ARCS-Sapelo2|ARCS]] || 1.0.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Artemis-Sapelo2|Artemis]] || 17.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Artemis-Teaching|Artemis]] || 17.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ASTRAL-Sapelo2|ASTRAL]] || 5.6.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ATK-Sapelo2|ATk]] || 2.22.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ATLAS-Sapelo2|ATLAS]] || 3.10.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AUGUSTUS-Sapelo2|AUGUSTUS]] || 3.2.3, 3.3.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AUGUSTUS-Teaching|AUGUSTUS]] || 3.2.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[AutoVOT-Sapelo2|AutoVOT]] || 0.93 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;B&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[bam2fastx-Sapelo2|bam2fastx]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt; &lt;br /&gt;
&amp;lt;!-- | [[BamTools-Sapelo2|BamTools]] || 2.4.1, 2.5.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Barrnap-Sapelo2|Barrnap]] || 0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[basespace-cli-Sapelo2|basespace-cli]] || 1.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Basset-Sapelo2|Basset]] || 20200107 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BayesAss-Sapelo2|BayesAss]] || 3.0.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BayeScan-Sapelo2|BayeScan]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[bax2bam-Sapelo2|bax2bam]] || 0.0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Bazel-Sapelo2|Bazel]] || 0.8.1, 0.11.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BBMap-Sapelo2 |BBMap]] || 37.67, 38.73 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BCFtools-Sapelo2|BCFtools]] || 1.1, 1.3.1, 1.6, 1.8, 1.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BCFtools-Teaching|BCFtools]] || 1.3.1, 1.6, 1.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[bcgTree-Sapelo2|bcgTree]] || 1.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[bcl2fastq-Sapelo2|bcl2fastq]] || 2.20.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|| &amp;lt;span id =&amp;quot;B&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Beast-Sapelo2|Beast]] || 1.10.4, 2.5.1, 2.6.3, 2.7.3, 2.7.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BEDOPS-Sapelo2|BEDOPS]] || 2.4.30 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BEDTools-Sapelo2|BEDTools]] || 2.17.0, 2.26.0, 2.28.0, 2.29.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BEDTools-Teaching|BEDTools]] || 2.26.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BerkeleyGW-Sapelo2|BerkeleyGW]] || 2.1 || [[:Category:Physics|Physics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Bioawk-Sapelo2|bioawk]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BioKanga-Sapelo2|BioKanga]] || 21.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Biom-format-Sapelo2|Biom-format]] || 2.1.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BionanoSolve-Sapelo2|BionanoSolve]] || 3.6.1-11162020 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BioPerl-Sapelo2|BioPerl]] || 1.7.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BioPerl-Teaching|BioPerl]] || 1.7.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt; &lt;br /&gt;
| [[BioPython-Sapelo2|BioPython]] || 1.75, 1.76, 1.78, 1.79, 1.81 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|[[Biopython-Teaching|Biopython]] || 1.75, 1.76, 1.78, 1.79, 1.81 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Bismark-Sapelo2|Bismark]] || 0.20.0, 0.22.1, 0.22.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Bismark-Teaching|Bismark]] || 0.22.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Bison-Sapelo2|Bison]] || 2.7, 3.0.2, 3.0.4 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BLASR-Sapelo2|BLASR]] || 2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[BLAST+-Sapelo2|BLAST+]] || 2.2.31, 2.10.1, 2.11.0, 2.12.0, 2.13.0, 2.14.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] ||[[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[BLAST+-Teaching|BLAST+]] || 2.2.31, 2.10.1, 2.11.0, 2.12.0, 2.13.0, 2.14.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
| [[BLAST-Sapelo2|BLAST]] || 2.2.26 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[BLAST-Teaching|BLAST]] || 2.2.26 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[BLAT-Sapelo2|BLAT]] || 3.4, 3.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BlobTools-Sapelo2|BlobTools]] || 1.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Blosc-Sapelo2|Blosc]] || 1.12.1 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BOLT-LMM-Sapelo2|BOLT-LMM]] || 2.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Boost-Sapelo2|Boost]] || 1.54.0, 1.61.0, 1.63.0, 1.65.1 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Boto3-Sapelo2|Boto3]] || 1.9.14 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Bowtie2-Sapelo2|Bowtie2]] || 2.2.3, 2.3.3, 2.3.4.1, 2.3.4.2, 2.3.5.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Bowtie2-Teaching|Bowtie2]] || 2.4.1, 2.4.4, 2.4.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Bowtie-Sapelo2|Bowtie]] || 1.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Bracken-Sapelo2|Bracken]] || 3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[BRAKER-Sapelo2|BRAKER]] || 2.1.6, 3.0.3, 3.0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[BreakDancer-Sapelo2|BreakDancer]] || 1.4.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[breseq-Sapelo2|breseq]] || 0.34.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BS-Seeker2-Sapelo2|BS-Seeker2]] || 2.1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[BUSCO-Sapelo2|BUSCO]] || 2.0, 4.0.5, 5.4.7, 5.5.0, 5.8.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[BUSCO-Teaching|BUSCO]] || 3.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BWA-Sapelo2|BWA]] || 0.7.15, 0.7.17 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[BWA-Teaching|BWA]] || 0.7.17, 0.7.15 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;C&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Caffe-Sapelo2|Caffe]] || 04082018 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;C&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;  [[Cactus-Sapelo2|Cactus]] || 1.2.3, 2.0.3, 2.4.3, 2.4.4, 2.5.0, 2.6.0, 2.6.7, 2.6.9, 2.7.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[cairo-Sapelo2|cairo]] || 1.14.6, 1.14.10, 1.14.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Canu-Sapelo2|Canu]] || 2.2||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[canu-Teaching|Canu]] || 1.4, 1.5, 1.6, 1.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CAP-miRSeq-Sapelo2|CAP-miRSeq]] || 05/20184 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CAP3-Sapelo2|CAP3]] || 03092015 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[cBar-Sapelo2|cBar]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CD-HIT-Sapelo2|CD-HIT]] || 4.6.1-2012-08-27, 4.6.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[cDNA_Cupcake-Sapelo2|CDNA_Cupcake]] || 5.9, 7.2, 8.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CDO-Sapelo2|CDO]] || 1.9.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CellProfiler-Sapelo2|CellProfiler]] || 3.1.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cellrange-Sapelo2|Cellrange]] || 3.0.1, 3.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[CellRanger-ATAC-Sapelo2|CellRanger-ATAC]] || 2.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CENSOR-Sapelo2|CENSOR]] || 4.2.29 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CFITSIO-Sapelo2|CFITSIO]] || 3.38 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CFOUR-Sapelo2|CFOUR]] || 1.2, 2.00-beta, 2.1 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CGAL-Sapelo2|CGAL]] || 4.11 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cgmaptools-Sapelo2|Cgmaptools]] || 0.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cgview_comparison_tool-Sapelo2|Cgview_comparison_tool]] || 2017.09.19 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CheckM-Sapelo2|CheckM]] || 1.0.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Chimera-Sapelo2|Chimera]] || 1.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Chimera-Teaching|Chimera]] || 1.16 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Chromosomer-Sapelo2|Chromosomer]] || 0.1.3, 0.1.4a0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Chromosomer-Teaching|Chromosomer]] || 0.1.4a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[circlator-Sapelo2|circlator]] || 1.5.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Circos-Sapelo2|Circos]] || 0.69-6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cleaveland4-Sapelo2|Cleaveland4]] || 4.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Click-Sapelo2|Click]] || 7.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ClonalFrameML-Sapelo2|ClonalFrameML]] || 1.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ClonalOrigin-Sapelo2|ClonalOrigin]] || 0.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Clust-Sapelo2|Clust]] || 1.9.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ClustAGE-Sapelo2|ClustAGE]] || 0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Clustal-Omega-Sapelo2|Clustal-Omega]] || 1.2.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ClustalW2-Sapelo2|ClustalW2]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CMake-Sapelo2|CMake]] || 3.0.0, 3.4.3, 3.5.2, 3.6.1, 3.6.2, 3.7.2, 3.8.0, 3.9.1, 3.9.5, 3.10.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CNIT-Sapelo2|CNIT]] || 2020-05-13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CNVnator-Sapelo2|CNVnator]] || 0.3.3, 0.4.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cogent-Sapelo2|Cogent]] || 3.5, 3.9, 6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Coinfinder-Sapelo2|Coinfinder]] || 1.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CONCOCT-Sapelo2|CONCOCT]] || 1.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Consed-Sapelo2|Consed]] || 29.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[cooler-Sapelo2|cooler]] || 0.8.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CPLEX-Sapelo2|CPLEX]] || 12.6.3 || [[:Category:Engineering|Engineering]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[crest-Sapelo2|crest]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CRISPResso-Sapelo2|CRISPResso]] || 1.0.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[cryoSPARC-Sapelo2|CryoSPARC]] || 3.3.1 || [[:Category:Engineering|Engineering]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
| [[Cromwell-Sapelo2|Cromwell]] || 56 || [[:Category:Tools|Tools]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
|[[CUDA-Sapelo2|CUDA]] || 11.3.1, 11.4.1, 11.7.0, 12.0.0, 12.1.1, 12.2.0, 12.4.0, 12.6.0 ||[[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[cuDNN-Sapelo2|cuDNN]] || 7.0.4, 7.2.1.38, 7.4.2.24 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cufflinks-Sapelo2|Cufflinks]] || 2.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cufflinks-Teaching|Cufflinks]] || 2.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[cURL-Sapelo2|cURL]] || 7.49.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[cutadapt-Sapelo2|cutadapt]] || 1.9.1, 1.14, 1.16, 2.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Cython-Sapelo2|Cython]] || 0.27.3, 0.28.5 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[CythonGSL-Sapelo2|CythonGSL]] || 0.2.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Cytoscape-Sapelo2|Cytoscape]] || 3.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Cytoscape-Teaching|Cytoscape]] || 3.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Teaching]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|-  &lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;D&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Dadi-Sapelo2|Dadi]] || 1.7.0, 2.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Danpos2-Sapelo2|Danpos2]] || 2.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Darknet-Sapelo2|Darknet]] || 3 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DAS_Tool-Sapelo2|DAS_Tool]] || 1.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[datamash-Sapelo2|datamash]] || 1.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DBG2OLC-Sapelo2|DBG2OLC]] || 20170208 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- &amp;lt;!-- | [[DBG2OLC-Teaching|DBG2OLC]] || 20170208 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DDocent-Sapelo2|DDocent]] || 2.7.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DDSCAT-Sapelo2|DDSCAT]] || 7.3.2 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[decontaMiner-Sapelo2|decontaMiner]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[deepTools-Sapelo2|deepTools]] || 3.0.2, 3.2.1, 3.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DeepVariant-Sapelo2|DeepVariant]] || 0.7.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Delft3d-Sapelo2|Delft3d]] || 20190610 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[delineate-Sapelo2|delineate]] || 1.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DendroPy-Sapelo2|DendroPy]] || 4.3.0, 4.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[detectMITE-Sapelo2|detectMITE]] || 20170425 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[detonate-Sapelo2|detonate]] || 1.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DIAMOND-Sapelo2|DIAMOND]] || 0.8.31, 0.9.19, 0.9.22, 0.9.24, 0.9.31 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DIAMOND-Teaching|DIAMOND]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DISCOVARdenovo-Sapelo2|DISCOVARdenovo]] || 52488 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DIYABC-Sapelo2|DIYABC]] || 2.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DiscoVista-Sapelo2|DiscoVista]] || 20190429 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Distruct-Sapelo2|Distruct]] || 2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DLCpar-Sapelo2|DLCpar]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Domainoid-Sapelo2|Domainoid]] || 20200127 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Doxygen-Sapelo2|Doxygen]] || 1.8.7, 1.8.11, 1.8.13 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- |  [[DRAM-bio-Sapelo2|DRAM-bio]] || 1.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|--&amp;gt;&lt;br /&gt;
| [[dMRIharmonization-Sapelo2|dMRIharmonization]] || 20240227 || [[:Category:Engineering|Engineering]]|| [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|--&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[dRep-Sapelo2|dRep]] || 2.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DSSP-Sapelo2|DSSP]] || 3.0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DyNet-Sapelo2|DyNet]] || 2.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[DyNet-Teaching|DyNet]] || 2.0.3 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;E&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[EDGE-pro-Sapelo2|EDGE-pro]] || 1.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[EGAPx-Sapelo2|EGAPx]] || N/A || [[:Category:Bioinformatics|Bioinformatics]] || N/A || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[eggNOG-Mapper-Sapelo2|EggNOG-Mapper]] || 1.0.3, 2.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Eigen-Sapelo2|Eigen]] || 3.2.3, 3.3.5 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[EIGENSOFT-Sapelo2|EIGENSOFT]] || 7.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| &amp;lt;span id =&amp;quot;E&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[EIGENSOFT-Teaching|EIGENSOFT]] || 7.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
| [[Flankophile-Sapelo2|Flankophile]] || 0.2.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[EMBOSS-Sapelo2|EMBOSS]] || 6.6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EMBOSS-Teaching|EMBOSS]] || 6.6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EMMAX-Sapelo2|EMMAX beta]] || beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Ensembl-VEP-Sapelo2|Ensembl-VEP]] || 20180914 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EnTAP-Sapelo2|EnTAP]] || 0.8.4 beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[epic2-Sapelo2|epic2]] || 0.0.36 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EricScript-Sapelo2|EricScript]] || 0.5.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ESMF-Sapelo2|ESMF]] || 7.0.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[eSpeak-Sapelo2|eSpeak]] || 1.48.04 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ete-Sapelo2|Ete]] || 3.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EVcouplings-Sapelo2|EVcouplings]] || 0.0.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[EVidenceModeler-Sapelo2|EVidenceModeler]] || 0.1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Exonerate-Sapelo2 |Exonerate]] || 2.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Exonerate-Teaching|Exonerate]] || 2.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;F&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; &amp;lt;!-- [[FALCON-Sapelo2|FALCON]] || 02282018_unzip || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Fast-Plast-Sapelo2|Fast-Plast]] || 1.2.6, 1.2.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] |&amp;lt;!-- | [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FASTA-Sapelo2|FASTA]] || 36.3.5e || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[fast-GeP-Sapelo2|fast-GeP]] || 1.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastME-Sapelo2|FastME]] || 2.1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastQC-Sapelo2|FastQC]] || 0.11.5,0.11.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastQValidator-Sapelo2|FastQValidator]] || 0.1.1a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastQ_Screen-Sapelo2|FastQ_Screen]] || 0.14.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[fastSTRUCTURE-Sapelo2|FastSTRUCTURE]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastTree-Sapelo2 |FastTree]] || 2.1.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FastViromeExplorer-Sapelo2|FastViromeExplorer]] || 20180918 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FASTX-Toolkit-Sapelo2|FASTX-Toolkit]] || 0.0.14 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FFmpeg-Sapelo2|FFmpeg]] || 3.1.3, 3.4.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FFTW-Sapelo2|FFTW]] || 3.3.4, 3.3.6, 3.3.7 || [[:Category:Math Library|Math Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FIAT-Sapelo2|FIAT]] || 1.6.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[fineSTRUCTURE-Sapelo2|fineSTRUCTURE]] || 2.1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FLASH-Sapelo2|FLASH]] || 1.2.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FLTK-Sapelo2|FLTK]] || 1.3.4 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Flye-Sapelo2|Flye]] || 2.3.6, 2.6, 2.8.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FoX-Sapelo2|FoX]] || 4.1.2 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[freebayes-Sapelo2|Freebayes]] || 1.2.0, 1.3.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[freebayes-Teaching|Freebayes]] || 1.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[freesasa-Sapelo2|freesasa]] || 2.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FriBidi-Sapelo2|FriBidi]] || 1.0.1 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| [[Funannotate-Sapelo2|Funannotate]] || 1.8.17 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[FuzzyWuzzy-Sapelo2|FuzzyWuzzy]] || 0.17.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[fxtract-Sapelo2|fxtract]] || 2.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;G&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[G2gtools-Sapelo2|g2gtools]] || 0.2.9 |&amp;lt;!-- | [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GAG-Sapelo2|GAG]] || 2.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GAG-Teaching|GAG]] || 2.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GAMESS-Sapelo2|GAMESS]] || 14Feb2018 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GapFiller-Sapelo2|GapFiller]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GapFiller-Teaching|GapFiller]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GAPIT-Sapelo2|GAPIT]] || 20180524 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GAPPadder-Sapelo2|GAPPadder]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GARLI-Sapelo2|GARLI]] || 2.01 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GATK-Sapelo2|GATK]] || 3.4-0, 3.8-0, 3.8-1, 4.0.3.0, 4.0.11.0, 4.1.0.0, 4.1.2.0, 4.1.5.0, 4.1.6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GATK-Teaching|GATK]] || 3.8-0, 3.4-0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;G&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;  [[GAUSSIAN-Sapelo2|GAUSSIAN]] || 09, 16 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|[[GAUSSIAN-Teaching|GAUSSIAN]] || 09, 16 || [[:Category:Chemistry|Chemistry]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
| [[GaussView-Sapelo2|GaussView]] || 5, 6.1 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[GaussView-Teaching|GaussView]] || 6.1 || [[:Category:Chemistry|Chemistry]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[GBlocks-Sapelo2|GBlocks]] || 0.91b || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GCTA-Sapelo2 |GCTA]] || 1.26.0, 1.93.0-beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GD-Sapelo2|GD]] || 2.66 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GDAL-Sapelo2|GDAL]] || 2.1.0, 2.2.2 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gdc-client-Sapelo2 |gdc-client]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Gdk-pixbuf-Sapelo2|Gdk-pixbuf]] || 2.36.0 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GEAN-Sapelo2|GEAN]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[GEM-Sapelo2|GEM]] || 1.5.1 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GEM-library-Sapelo2 |GEM-library]] || 20130406-045632 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GeneMark.hmm.eukaryotic-Sapelo2|GeneMark.hmm.eukaryotic]] || 4.30 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[GeneMarkES-Sapelo2|GeneMarkET]] || 4.71 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!--| [[GeneMarkES-Teaching|GeneMarkES]] || 4.33 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GeneMarkS-T-Sapelo2|GeneMarkS-T]] || 4.33 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GeneMarkS-Sapelo2|GeneMarkS]] || 4.30 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GenericRepeatFinder-Sapelo2|GenericRepeatFinder]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GenMap-Sapelo2|GenMap]] || 1.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Genocore-Sapelo2|Genocore]] || 2020-05-13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Genome-Sapelo2|Genome]] || Phred version: 0.071220.c, Phrap version: 0.990329, Consed version: 29.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GenomeTools-Sapelo2|GenomeTools]] || 1.5.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Genrich-Sapelo2|Genrich]] || 0.5, 0.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GEOS-Sapelo2|GEOS]] || 3.6.2 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GET_HOMOLOGUES-Sapelo2|GET_HOMOLOGUES]] || 1.7.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GET_HOMOLOGUES-Teaching|GET_HOMOLOGUES]] || 1.7.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GET_PHYLOMARKERS-Sapelo2|GET_PHYLOMARKERS]] || 1.2.11, 1.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gfaviz-Sapelo2|gfaviz]] || 1.0.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Gffcompare-Sapelo2|Gffcompare]] || 0.10.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gffread-Sapelo2|gffread]] || 0.9.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GFlow-Sapelo2|GFlow]] || 0.1.7 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Ghostscript-Sapelo2|Ghostscript]] || 9.20, 9.22 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GISTIC-Sapelo2|GISTIC]] || 2.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gkin-Sapelo2|Gkin]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GL2PS-Sapelo2|GL2PS]] || 1.4.0 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GLib-Sapelo2|GLib]] || 2.49.5, 2.53.5, 2.54.3 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GLIMMER-Sapelo2|GLIMMER]] || 3.02b || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GLIMMER-Teaching|GLIMMER]] || 3.02b || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GLPK-Sapelo2|GLPK]] || 4.63, 4.65 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GMAP-GSNAP-Sapelo2|GMAP-GSNAP]] || 2016-11-07, 2018-07-04 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GMP-Sapelo2|GMP]] || 4.3.2, 6.1.1, 6.1.2 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gnuplot-Sapelo2|gnuplot]] || 5.0.5 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GObject-Introspection-Sapelo2|GObject-Introspection]] || 1.49.1, 1.54.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|[[gocryptfs-Sapelo2|gocryptfs]] || 2.5.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[grace-Sapelo2|grace]] || 5.1.25 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GraftM-Sapelo2|GraftM]] || 0.11.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GraphicsMagicK-Sapelo2|GraphicsMagicK]] || 1.3.28 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Graphviz-Sapelo2|Graphviz]] || 2.40.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GROCSVs-Sapelo2|GROCSVs]] || 0.2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;I&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;  [[GROMACS-Sapelo2 |GROMACS]] || 2021.5, 2023.1, 2023.4 ||[[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GSL-Sapelo2|GSL]] || 1.16, 2.1, 2.3. 2.4, 2.5 || [[:Category:Math Library|Math Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GStreamer-Sapelo2|GStreamer]] || 1.14.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GTDBTk-Sapelo2|GTDBTk]] || 0.2.2, 1.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[gtftogenepred-Sapelo2|gtftogenepred]] || 377-3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GTK+-Sapelo2|GTK+]] || 2.24.31 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[GTS-Sapelo2|GTS]] || 0.7.6 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Guile-Sapelo2|Guile]] || 1.8.8 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;H&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[h5py-Sapelo2|h5py]] || 2.7.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HapCUT-Sapelo2|HapCUT]] || 0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HapCUT2-Sapelo2|HapCUT2]] || 20190606 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HarfBuzz-Sapelo2|HarfBuzz]] || 1.3.1, 1.7.5 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HARP-Sapelo2|HARP]] || 140925_103521 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Harvest-Teaching|Harvest]] || 1.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HarvestTools-Sapelo2|HarvestTools]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HH-suite-Sapelo2|HH-suite]] || 3.0-beta.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HiC-Pro-Sapelo2|HiC-Pro]] || 2.11.0-beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Hinge-Sapelo2|Hinge]] || 0.5.0-4-deb_cv1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[hindex-Sapelo2|hindex]] || 1.42 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[HISAT2-Sapelo2|HISAT2]] || 2.2.1, 3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| &amp;lt;span id =&amp;quot;H&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[HISAT2-Teaching|HISAT2]] || 2.2.1, 3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt; &lt;br /&gt;
&amp;lt;!-- | [[HMMER-Sapelo2|HMMER]] || 2.3, 3.1b2, 3.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Homer-Sapelo2|Homer]] || 4.9.1, 4.10, 4.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Homer-Teaching|Homer]] || 4.9.1, 4.10, 4.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[HpcGridRunner-Sapelo2|HPCGridRunner]] || 1.0.2 || [[:Category:Tools|Tools]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[htop-Sapelo2|htop]] || 2.0.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HTSeq-Sapelo2|HTSeq]] || 0.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HTSeq-Teaching|HTSeq]] || 0.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HTSlib-Sapelo2|HTSlib]] || 1.3.2, 1.6, 1.8 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HTStream-Sapelo2|HTStream]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HUMAnN2-Sapelo2|HUMAnN2]] || 0.11.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HybPiper-Sapelo2|HybPiper]] || 1.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[HyPhy-Sapelo2|HyPhy]] || 2.5.15 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Hypre-Sapelo2|Hypre]] || 2.11.1 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;I&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[ICORN2-Sapelo2|ICORN2]] || 0.95 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;span id =&amp;quot;I&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[iCommands-Sapelo2|iCommands]] || 4.2.8 || [[:Category:Tools|Tools]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[IDBA-UD-Sapelo2|IDBA-UD]] || 1.1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IDR-Sapelo2|IDR]] || 2.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IgBlast-Sapelo2 | IgBlast]] || 1.16.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IGV-Sapelo2 |IGV]] || 2.4.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IGV-Teaching |IGV]] || 2.4.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IGVTools-Sapelo2 |IGVTools]] || 2.3.98 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[illumiprocessor-Sapelo2 |illumiprocessor]] || 2.0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ImageMagick-Sapelo2|ImageMagick]] || 7.0.5, 7.0.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Infernal-Sapelo2|Infernal]] || 1.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IonCom-Sapelo2|IonCom]] || 20190521  || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[InterProScan-Sapelo2|InterProScan]] || 5.63-95.0, 5.64-96.0, 5.66-98.0 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ipyrad-Sapelo2|ipyrad]] || 0.7.24, 0.7.28, 0.7.30, 0.9.19 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ipyrad-Teaching|Ipyrad]] || 0.7.24 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IPython-Sapelo2|IPython]] || 5.3.0, 6.2.1, 7.5.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[IQ-Tree-Sapelo2|IQ-Tree]] || 1.6.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[IQ-Tree-Teaching|IQ-Tree]] || 1.6.12|| [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[IRMA-Sapelo2|IRMA]] || 0.6.7, 0.9.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ISGPipeline-Sapelo2|ISGPipeline]] || 0.16.10-3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IsONclust-Sapelo2 |IsONclust]] || 0.0.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[IsoSeq3-Sapelo2|IsoSeq3]] || 3.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ITSTool-Sapelo2|ITSTool]] || 2.0.4 || [[:Category:Utility|Utility]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;J&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[JAGS-Sapelo2|JAGS]] || 4.3.0 || [[:Category:Statistics|Statistics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[JasPer-Sapelo2|JasPer]] || 1.900.1, 2.0.12 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Java-Sapelo2|Java]] || 1.8.0_92, 1.8.0_112, 1.8.0_121, 1.8.0_141, 1.8.0_144, 1.8.0_202 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;J&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Java-Teaching|Java]] || 1.8.0_241, 11.0.16, 13.0.2, 15.0.1, 17.0.6 || [[:Category:Programming|Programming]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[jcvi-Sapelo2|jcvi]] || 0.8.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Jellyfish-Sapelo2|Jellyfish]] || 2.2.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[JModelTest-Sapelo2|JModelTest]] || 2.1.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Juicer-Sapelo2|Juicer]] || 1.5.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Julia-Sapelo2|Julia]] || 1.3.1|| [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[JUnit-Sapelo2|JUnit]] || 4.12 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Jupyter-Sapelo2|Jupyter]] || 6.5.6, 7.0.2, 7.2.0, 7.2.3 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
| [[Jupyter-Teaching|Jupyter]] || 6.4.12 || [[:Category:Programming|Programming]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|-&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;K&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Kaiju-Sapelo2|Kaiju]] || 1.6.2, 1.7.3 |&amp;lt;!-- | [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[kallisto-Sapelo2|kallisto]] || 0.43.1, 0.46.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[kallisto-Teaching|kallisto]] || 0.43.1, 0.46.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[KAT-Sapelo2|KAT]] || 2.4.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Kent_tools-Sapelo2|Kent_tools]] || 20190208, 20200512 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[keras-Sapelo2|keras]] || 2.0.6, 2.2.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[KinFin-Sapelo2|KinFin]] || 1.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[KmerGenie-Sapelo2|KmerGenie]] || 1.7044 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[KmerGenie-Teaching|KmerGenie]] || 1.7044 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Kraken2-Sapelo2|Kraken2]] || 2.0.7-beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[KronaTools-Sapelo2|KronaTools]] || 2.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;L&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[LADR-Teaching|LADR]] || 2009-11A || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LAME-Sapelo2|LAME]] || 3.100 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| &amp;lt;span id =&amp;quot;L&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[LAMMPS-Sapelo2|LAMMPS]] || 23Jun2022 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[LAPACK-Sapelo2|LAPACK]] || 3.6.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LAST-Sapelo2|LAST]] || 956, 959, 1047 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LASTZ-Sapelo2|LASTZ]] || 1.04.00 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LDhat-Sapelo2|LDhat]] || 2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LDhelmet-Sapelo2|LDhelmet]] || 1.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Leafcutter-Sapelo2|Leafcutter]] || 0.2.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Lep-MAP3-Sapelo2|Lep-MAP3]] || 0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[libssh2-Sapelo2|libssh2]] || 1.9.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LibStatGen-Sapelo2|LibStatGen]] || 1.0.14 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LibTIFF-Sapelo2|LibTIFF]] || 4.0.6, 4.0.8, 4.0.9 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LINKS-Sapelo2|LINKS]] || 1.8.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LittleCMS-Sapelo2|LittleCMS]] || 2.8 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LLVM-Sapelo2|LLVM]] || 3.8.1, 4.0.0, 5.0.1, 6.0.0 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LMDB-Sapelo2|LMDB]] || 0.9.22 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LoFreq-Sapelo2|LoFreq]] || 2.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Log-Log4perl-Sapelo2|Log-Log4perl]] || 1.49 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LongRanger-Sapelo2|LongRanger]] || 2.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LoRDEC-Sapelo2|LoRDEC]] || 0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LoRMA-Sapelo2|LoRMA]] || 0.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LRCstats-Sapelo2|LRCstats]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[lrslib-Sapelo2|lrslib]] || 6.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LS-DYNA-Sapelo2|LS-DYNA]] || 10.123355 || [[:Category:Engineering|Engineering]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LS-PrePost-Sapelo2|LS-PrePost]] || 4.5 || [[:Category:Engineering|Engineering]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LtrDetector-Sapelo2|LtrDetector]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LTR_Finder-Sapelo2|LTR_Finder]] || 1.0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LTR_retriever-Sapelo2|LTR_retriever]] || 1.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LUMPY-Sapelo2|LUMPY]] || 0.2.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LZO-Sapelo2|LZO]] || 2.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;M&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[M4-Sapelo2|M4]] || 1.4.16, 1.4.17, 1.4.17 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MacSyFinder-Sapelo2|MacSyFinder]] || 1.0.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Macs2-Sapelo2|MACS2]] || 2.1.1, 2.1.2, 2.2.7.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MAFFT-Sapelo2|MAFFT]] || 7.273, 7.313, 7.397, 7.407, 7.453, 7.470 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MAFFT-Teaching|MAFFT]] || 7.130, 7.273, 7.313 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Magic-BLAST-Sapelo2|Magic-BLAST]] || 1.4.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Magma-GPU-Sapelo2|Magma-GPU]] || 2.3.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;M&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Magma-Sapelo2|Magma]] || 2.27-1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[mahotas-Sapelo2|mahotas]] || 1.4.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MAJIQ-Sapelo2|MAJIQ]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Maker-Sapelo2|Maker]] || 3.01.04 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[Maker-Teaching|Maker]] || 2.31.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mako-Sapelo2|Mako]] || 1.0.4, 1.0.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MAnorm-Sapelo2|MAnorm]] || 1.1.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MARVEL-Sapelo2|MARVEL]] || 20180918 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mash-Sapelo2|Mash]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MashMap-Sapelo2|MashMap]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MaSIF-Sapelo2|MaSIF]] || 20200722 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MaSuRCA-Sapelo2|MaSuRCA]] || 3.2.2, 3.2.9, 3.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mathematica-Sapelo2|Mathematica]] || 12.1 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[MATLAB-Sapelo2|MATLAB]] || R2023a, R2023b || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[MatLab-Teaching|Matlab]] || R2018b || [[:Category:Programming|Programming]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Matplotlib-Sapelo2|Matplotlib]] || 1.5.3, 2.0.2, 2.1.0, 2.1.2, 2.2.3, 3.0.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mauve-Sapelo2|Mauve]] || 2015-02-13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Maven-Sapelo2|Maven]] || 3.5.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mawk-Sapelo2|Mawk]] || 1.3.4|| [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MaxBin-Sapelo2|MaxBin]] || 2.2.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MCL-Sapelo2|MCL]] || 14.137 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MCScanX-Sapelo2 |MCScanX]] || 0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Medaka-Sapelo2 |Medaka]] || 0.9.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Medusa-Sapelo2 |Medusa]] || 1.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[MEGA-Sapelo2 |MEGA]] || 7.0.26-1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MEGAHIT-Sapelo2 |MEGAHIT]] || 1.1.1, 1.1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Megalodon-Sapelo2|Megalodon]] || 0.1.0, 1.0.0, 2.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Megam-Teaching|Megam]] || 0.92 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MeGAMerge-Sapelo2|MeGAMerge]] || 3.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MEME-Sapelo2|MEME]] || 4.11.0, 5.0.0_1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Meraculous-Sapelo2|Meraculous]] || 2.2.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mercurial-Sapelo2 |Mercurial]] || 4.4.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mesa-Sapelo2 |Mesa]] || 12.0.2, 17.3.6 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MET-Sapelo2 |MET]] || 7.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MetaBAT-Sapelo2|MetaBAT]] || 2.12.1, 2.15-4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[METABOLIC-Sapelo2|METABOLIC]] || 3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MetaCLADE-Sapelo2|MetaCLADE]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[MetaPhlAn4-Sapelo2|MetaPhlAn4]] || 4.0.3.1, 4.0.6, 4.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[MetaPhlAn2-Sapelo2|MetaPhlAn2]] || 2.7.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[methylpy-Sapelo2|methylpy]] || 1.2.9, 1.3.2, 1.4.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[METIS-Sapelo2|METIS]] || 5.1.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MG-RAST-Tools-Sapelo2 |MG-RAST-Tools]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[minced-Sapelo2|minced]] || 0.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Minia-Sapelo2|Minia]] || 3.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[miniasm-Sapelo2|miniasm]] || 0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[miniasm-Teaching|miniasm]] || 0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Miniconda3-Sapelo2|Miniconda3]] || 4.4.10 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[minimap2-Sapelo2|minimap2]] || 2.10, 2.13, 2.17 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[minimap2-Teaching|minimap2]] || 2.10, 2.13, 2.17 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MinPath-Sapelo2|MinPath]] || 1.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MIonSite-Sapelo2|MIonSite]] || 20190528 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mip-Sapelo2|mip]] || 1.7.3 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Mirdeep-p-Sapelo2|mirdeep-p]] || 1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MiRDeep2-Sapelo2|miRDeep2]] || 0.0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[miRDP2-Sapelo2|MiRDP2]] || 1.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MISO-Sapelo2|MISO]] || 0.5.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MITE-Hunter-Sapelo2|MITE-Hunter]] || 11-2011 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MITE-Tracker-Sapelo2|MITE-Tracker]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MITObim-Sapelo2|MITObim]] || 1.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MitoZ-Sapelo2|MitoZ]] || 2.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[mmquant-Sapelo2|mmquant]] || 1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Montreal Forced Aligner-Sapelo2|Montreal Forced Aligner]] || 1.0.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[MOTECC_qmdcp-Teaching|MOTECC_qmdcp]] || 90 || [[:Category:Chemistry|Chemistry]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
| [[Mothur-Sapelo2|Mothur]] || 1.45.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[motif-Sapelo2|motif]] || 2.3.5, 2.3.8 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MPJ-Express-Sapelo2|MPJ-Express]] || 0.44 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MrBayes-Sapelo2|MrBayes]] || 3.2.6, 3.2.7a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[MREPS-Sapelo2|MREPS]] || 1.0.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ms-Teaching|ms]] || 20140304 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MSG-Sapelo2|MSG]] || 0.4.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MSG-Teaching|MSG]] || 0.4.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MSTmap-Sapelo2|MSTmap]] || 20181130 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MultiQC-Sapelo2|MultiQC]] || 1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MUMmer-Sapelo2|MUMmer]] || 3.23, 4.0.0beta2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MUMmer-Teaching|MUMmer]] || 3.23 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MUSCLE-Sapelo2|MUSCLE]] || 3.8.1551, 3.8.31 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MuTect-Sapelo2|MuTect]] || 1.1.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MuTect-Teaching|MuTect]] || 1.1.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[muver-Sapelo2|muver]] || 0.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[mvqtlcim-Sapelo2|mvqtlcim]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[MZmine2-Sapelo2|MZmine2]] || 2.40.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;N&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[NAL_RNA_seq_annotation-Sapelo2|NAL_RNA_seq_annotation]] ||20200728 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NAMD-Sapelo2|NAMD]] || 2.13 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Nanocorr-Sapelo2|Nanocorr]] || 5.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NanoFilt-Sapelo2|NanoFilt]] || 2.5.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NanoPlot-Sapelo2|NanoPlot]] || 1.26.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Nanopolish-Sapelo2|Nanopolish]] || 0.10.2, 0.11.1, 0.12.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NASM-Sapelo2|NASM]] || 2.11, 2.12, 2.13 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NBO-Sapelo2|NBO]] || 7.0 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NCCL-Sapelo2|NCCL]] || 2.4.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NCL-Sapelo2|NCL]] || 6.4.0, 6.5.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NCL-Teaching|NCL]] || 6.4.0, 6.5.0  || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ncview-Sapelo2|ncview]] || 2.1.7 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NCO-Sapelo2|NCO]] || 4.7.4 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NCO-Teaching|NCO]] || 4.7.4 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Necklace-Sapelo2|Necklace]] || 1.01 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NeEstimator-Sapelo2|NeEstimator]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Neptune-Sapelo2|Neptune]] || 1.2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NetSurfP-Sapelo2|NetSurfP]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Newbler-Sapelo2|Newbler]] || 3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Nextflow-Sapelo2|Nextflow]] || 18.10.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NextGenMap-Sapelo2|NextGenMap]] || 0.5.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ngmlr-Sapelo2|ngmlr]] || 0.2.6-beta || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NGmerge-Sapelo2|NGmerge]] || 0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NGS-Sapelo2|NGS]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NGSEPcore-Sapelo2|NGSEPcore]] || 3.3.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ngsplot-Sapelo2|ngsplot]] || 2.6.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NGSQCToolkit-Sapelo2|NGSQCToolkit]] || 2.3.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[nhPhyML-Sapelo2|nhPhyML]] || 20180515 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NiBabel-Sapelo2|NiBabel]] || 2.2.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[nistats-Sapelo2|nistats]] || 0.0.1a0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NLopt-Sapelo2|NLopt]] || 2.4.2 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Nseg-Sapelo2|Nseg]] || 20180530 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NucleoATAC-Sapelo2|NucleoATAC]] || 0.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[NWChem-Sapelo2|NWChem]] || 6.8 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;O&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[Oases-Sapelo2|Oases]] || 0.2.08, 0.2.09 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OCaml-Sapelo2|OCaml]] || 4.01.0, 4.02.3 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;O&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Ont-Guppy-Sapelo2|Ont-Guppy]] || 6.5.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[OpenBUGS-Sapelo2|OpenBUGS]] || 3.2.3 || [[:Category:Statistics|Statistics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OpenCV-Sapelo2|OpenCV]] || 3.4.1, 3.4.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OpenJPEG-Sapelo2|OpenJPEG]] || 2.3.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OpenSlide-Sapelo2|OpenSlide]] || 3.4.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OpenSlide-Python-Sapelo2|OpenSlide-Python]] || 1.1.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[ORCA-Sapelo2 |ORCA]] || 4.2.1, 5.0.4 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[OrfM-Sapelo2|OrfM]] || 0.6.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OrganelleRef_PBA-Sapelo2|OrganelleRef_PBA]] || 1.0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ORGanelle_ASeMbler-Sapelo2|ORGanelle_ASeMbler]] || 0.2.03 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ORGanelle_ASeMbler-Sapelo2|ORGASM]] || 0.2.03 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|[[ORP-Sapelo2|ORP]] || 2.2.6, 2.2.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[OrthoFinder-Sapelo2|OrthoFinder]] || 2.5.4, 2.5.5 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OrthoFinder-Teaching|OrthoFinder]] || 2.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[OrthoMCL-Sapelo2|OrthoMCL]] || 2.0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;P&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[p7zip-Sapelo2|p7zip]] || 16.02 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PAGIT-Sapelo2|PAGIT]] || 1.64 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pairix-Sapelo2|Pairix]] || 0.3.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pairtools-Sapelo2|pairtools]] || 0.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pal_finder-Sapelo2|Pal_finder]] || 0.02.04 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PAML-Sapelo2|PAML]] || 4.9h || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;P&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[PAML-Teaching|PAML]] || 4.9j, 4.10.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt; &lt;br /&gt;
&amp;lt;!-- | [[PANDAseq-Sapelo2 |PANDAseq]] || 2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pangloss-Sapelo2 |Pangloss]] || 0.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pango-Sapelo2 |Pango]] || 1.40.3, 1.41.1 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Panoply-Sapelo2|Panoply]] || 4.11.6 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Parliament2-Sapelo2|Parliament2]] || 0.1.8, 0.1.11, hgsc || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Parsnp-Sapelo2|Parsnp]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PartitionFinder-Sapelo2|PartitionFinder]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PartitionFinder-Teaching|PartitionFinder]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PanOCT-Sapelo2|PanOCT]] || 3.23 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[PASA-Sapelo2|PASA]] || 2.5.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PASTA-Sapelo2|PASTA]] || 1.8.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PASTA-Teaching|PASTA]] || 1.8.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PAUP-Sapelo2|PAUP]] || 4a165_centos64, 4a166_centos64 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pb-assembly-Sapelo2|Pb-assembly]] || 0.0.2, 0.0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pbh5tools-Sapelo2 |pbh5tools]] || 0.8.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PBLAT-Sapelo2|PBLAT]] || 2.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pbmm2-Sapelo2|pbmm2]] || 1.0.0, 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pcawg-dkfz-workflow-Sapelo2|pcawg-dkfz-workflow]] || 2.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PBSuite-Sapelo2 |PBSuite]] || 15.8.24 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PCRE-Sapelo2 |PCRE]] || 8.38, 8.39, 8.41 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PeakRanger-Sapelo2|PeakRanger]] || 1.18 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PEAR-Sapelo2|PEAR]] || 0.9.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Perl-Sapelo2|Perl]] || 5.20.3, 5.24.0, 5.24.1, 5.26.0, 5.26.1 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Perl-Teaching|Perl]] || 5.30.0, 5.30.2, 5.32.0, 5.32.1, 5.34.0, 5.34.1, 5.36.0, 5.36.1 || [[:Category:Programming|Programming]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PETSc-Sapelo2|PETSc]] || 3.8.4 || [[:Category:Math Library|Math Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PGDBG-Sapelo2|PGDBG]] || 18.10 || [[:Category:Debugger|Debugger]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PGDSpider-Sapelo2|PGDSpider]] || 2.1.1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhaseGenomics-Sapelo2|PhaseGenomics]] || 20181220 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[phaser-Sapelo2 |phaser]] || 1.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhaseTank-Sapelo2|PhaseTank]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PHASIS-Sapelo2 |PHASIS]] || 3.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Phenix-Sapelo2|Phenix]] || 1.21.2-5419 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[Pong-Sapelo2|Pong]] || 1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
&amp;lt;!-- | [[Phobius-Sapelo2|Phobius]] || 1.01 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Phred/Phrap/Conced-Sapelo2|Phred/Phrap/Conced]] || Phred version: 0.071220.c, Phrap version: 0.990329, Consed version: 29.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Phycas-Sapelo2|Phycas]] || 2.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PHYLIP-Sapelo2|PHYLIP]] || 3.697 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyloBayes-MPI-Sapelo2 |PhyloBayes-MPI]] || 20161021 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyloCSF-Sapelo2 |PhyloCSF]] || 20180919 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyloSift-Sapelo2 |PhyloSift]] || 1.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyloSkeleton-Sapelo2 |PhyloSkeleton]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[phyluce-Sapelo2|Phyluce]] || 1.6.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyML-Sapelo2|PhyML]] || 3.3.20170530 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PhyParts-Sapelo2|PhyParts]] || 0.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[picard-Sapelo2 |picard]] || 2.16.0, 2.21.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[picard-Teaching|Picard]] || 2.16.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PICRUSt-Sapelo2 |PICRUSt]] || 1.1.3, 2.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pigz-Sapelo2|pigz]] || 2.3.3 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PIL-Sapelo2|PIL]] || 1.1.7 || [[:Category:Library|Library]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PILER-Sapelo2|PILER]] || 2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pilon-Sapelo2|Pilon]] || 1.22 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pilon-Teaching|Pilon]] || 1.22 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PlantCV-Sapelo2|PlantCV]] || 3.8.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Platypus-Sapelo2|Platypus]] || 0.8.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PLEK-Sapelo2|PLEK]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PLINK-Sapelo2|PLINK]] || 1.07, 1.9b, 2.0-alpha1, 2.0-alpha2, 2.0-alpha2.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[plmc-Sapelo2|Plmc]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Porechop-Sapelo2|Porechop]] || 0.2.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PoSSuMsearch-Sapelo2|PoSSuMsearch]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pplacer-Sapelo2|Pplacer]] || 1.1.alpha19 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Praat-Sapelo2|Praat]] || 6048-Linux64-nogui || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PRANK-Sapelo2|PRANK]] || 170427 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PRAPI-Sapelo2|PRAPI]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Primer3-Sapelo2|Primer3]] || 2.3.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PRINSEQ-Sapelo2|PRINSEQ]] || 0.20.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ProbABEL-Sapelo2|ProbABEL]] || 0.5.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[prodigal-Sapelo2|Prodigal]] || 2.6.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[progressiveCactus-Sapelo2|progressiveCactus]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ProphET-Sapelo2 |ProphET]] || 20200323 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PROJ-Sapelo2|PROJ]] || 4.9.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Prokka-Sapelo2|Prokka]] || 1.13, 1.14.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Prokka-Teaching|Prokka]] || 1.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[proovread-Sapelo2|proovread]] || 2.14.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[proovread-Teaching|Proovread]] || 2.14.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[protobuf-Sapelo2|protobuf]] || 3.3.0, 3.4.0, 3.6.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[LADR-Teaching|prover9]] || 2009-11A || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PSI4-Sapelo2|PSI4]] || 1.3.2 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[psmc-Sapelo2|psmc]] || 0.6.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pVACtools-Sapelo2|pVACtools]] || 1.5.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pyani-Sapelo2|pyani]] || 0.2.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pybedtools-Sapelo2|pybedtools]] || 0.7.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PyCUDA-Sapelo2|PyCUDA]] || 2019.1.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pyDNA-Sapelo2|pyDNA]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pydub-Sapelo2|pydub]] || 0.22.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pyfasta-Sapelo2|pyfasta]] || 0.5.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PyMOL-Sapelo2|PyMOL]] || 2.3.0a0 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PyNBS-Sapelo2 |pyNBS]] || 0.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pynini-Teaching|Pynini]] || 2.0.8 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PyPy-Sapelo2 |PyPy]] || 6.0.0 (2.7.14) || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pysam-Sapelo2 |Pysam]] || 0.10.0, 0.13.0, 0.14.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|-&lt;br /&gt;
| [[Python-Sapelo2 |Python]] || 2.7.18, 3.7.4, 3.8.6, 3.9.6, 3.10.4, 3.10.8 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Python-Teaching|Python]] || 2.7.18, 3.7.4, 3.8.6, 3.9.6, 3.10.4, 3.10.8 || [[:Category:Programming|Programming]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[PyTorch-Sapelo2|PyTorch]] || 0.3.1, 1.0.0, 1.2.0, 1.3.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[pyvcf-Sapelo2 |pyvcf]] || 0.6.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Pweave-Teaching|Pweave]] || 0.30.3 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;Q&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[q2-brocc-Sapelo2|q2-brocc]] || 2018.6.0.dev0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QCTOOL-Sapelo2|QCTOOL]] || 2.0.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[qiaseq-16S-Sapelo2|qiaseq-16S]] || 20190306 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[QIIME2-Sapelo2|QIIME2]] || 2020.6, 2023.2, 2023.5.1, 2023.7, 2023.9, 2024.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QIIME2-Teaching|QIIME2]] || 2018.4, 2018.6, 2018.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QIIME-Sapelo2|QIIME]] || 1.9.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QTLcartographer-Sapelo2|QTLcartographer]] || 1.17j || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Qualimap2-Sapelo2|Qualimap2]] || 2.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Quantum Espresso-Sapelo2|Quantum Espresso]] || 6.2.0, 6.3.0-QMCPACK-3.6.0-patch, 6.4.1, 6.5 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QUAST-Sapelo2|QUAST]] || 4.2, 4.6.1, 4.6.3, 5.0.0, 5.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[QMCPACK-Sapelo2|QMCPACK]] || 3.6.0 || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| &amp;lt;span id =&amp;quot;R&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[R-Sapelo2 |R]] || 3.6.2, 4.1.2, 4.2.1, 4.3.1, 4.3.2 ||[[:Category:Statistics|Statistics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
| [[R-Teaching|R]] || 3.6.2, 4.1.2, 4.2.1, 4.3.1, 4.3.2 || [[:Category:Statistics|Statistics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[racon-Sapelo2 |Racon]] || 1.5.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[racon-Teaching |racon]] || 1.4.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RaGOO-Sapelo2|RaGOO]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[randfold-Sapelo2|randfold]] || 2.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RATT-Sapelo2|RATT]] || 20180710 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[RAxML-NG-Sapelo2 |RAxML-NG]] || 1.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[RAxML-Sapelo2 |RAxML]] || 8.2.11, 8.2.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[RAxML-Teaching|RAxML]] || 8.2.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Ray-Sapelo2 |Ray]] || 2.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Rcorrector-Sapelo2|Rcorrector]] || 1.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Realphy-Sapelo2|Realphy]] || 1.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Reapr-Sapelo2|REAPR]] || 1.0.18 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RECON-Sapelo2|RECON]] || 1.08 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RedDog-Sapelo2|RedDog]] || 1beta.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Redundans-Sapelo2|Redundans]] || 0.14a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatExplorer-TAREAN-Sapelo2|RepeatExplorer-TAREAN]] || 11/09/2018 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatMasker-Sapelo2|RepeatMasker]] || 4.0.5, 4.0.7, 4.0.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatMasker-Teaching|RepeatMasker]] || 4.0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Repeatmodeler-Sapelo2|Repeatmodeler]] || 1.0.11, 2.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatModeler-Teaching|RepeatModeler]] || 1.0.11 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatScout-Sapelo2|RepeatScout]] || 1.05 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RepeatScout-Teaching|RepeatScout]] || 1.05 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[REPET-Sapelo2|REPET]] || 2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RESCRIPt-Sapelo2|RESCRIPt]] || 20200805 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RevBayes-Sapelo2|RevBayes]] || 1.0.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[RevBayes-Teaching|RevBayes]] || 1.1.0, 1.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
&amp;lt;!-- | [[RGAugury-Sapelo2|RGAugury]] || 20191115 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[rjags-Sapelo2|rjags]] || 4.6 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RMBlast-Sapelo2|RMBlast]] || 2.6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Rmpi-Sapelo2|Rmpi]] || 0.6-6 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RNAmmer-Sapelo2|RNAmmer]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RNAz-Sapelo2|RNAz]] || 2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Roary-Sapelo2 |Roary]] || 3.12.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Rosetta-Sapelo2 |Rosetta]] || 2021.16.61629, 2022.46.334 ||[[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RSEM-Sapelo2 |RSEM]] || 1.3.0, 1.3.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[RSeQC-Sapelo2 |RSeQC]] || 3.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Rstudio-Sapelo2|Rstudio]] || 2023.06.1-524 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Ruby-Sapelo2|Ruby]] || 2.5.0 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[runBNG-Sapelo2|runBNG]] || 1.03 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Sailfish-Sapelo2|Sailfish]] || 0.10.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;S&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[Sage-Sapelo2|Sage]] || 8.0, 9.0, 9.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Salmon-Sapelo2|Salmon]] || 0.8.2, 0.10.2, 0.13.1, 0.14.1, 1.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SalmonTools-Sapelo2|SalmonTools]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SALSA-Sapelo2|SALSA]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[sambamba-Sapelo2|sambamba]] || 0.6.6, 0.6.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[samblaster-Sapelo2|samblaster]] || 0.1.24 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SAMtools-Sapelo2|SAMtools]] || 0.1.19, 1.1, 1.3.1, 1.6, 1.9, 1.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;S&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[SAMtools-Teaching|SAMtools]] || 0.1.20, 1.6, 1.14, 1.16.1, 1.17 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SANN-Sapelo2|SANN]] || 20190528 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[SequenceTubeMap-Sapelo2|sequenceTubeMap]] || 20230906 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:sapelo2|sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[sbt-Sapelo2|sbt]] || 1.1.1 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[scala-Sapelo2|scala]] || 2.12.4 || [[:Category:Programming|Programming]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[scikit-image-Sapelo2|scikit-image]] || 0.13.1, 0.14.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Scoary-Sapelo2|Scoary]] || 1.6.16 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SCons-Sapelo2|SCons]] || 2.5.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SCOTCH-Sapelo2|SCOTCH]] || 6.0.4 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[scram-Sapelo2|scram]] || 0.2.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[screen_assembly-Sapelo2|screen_assembly]] || 1.2.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SeaDAS-Sapelo2|SeaDAS]] || 7.5.3 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[seaview-Sapelo2|seaview]] || 4.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[selscan-Sapelo2|selscan]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Seq-Gen-Sapelo2|Seq-Gen]] || 1.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SeqKit-Sapelo2|SeqKit]] || 0.10.1, 0.10.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SeqKit-Teaching|SeqKit]] || 0.10.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[seqqs-Sapelo2|seqqs]] || 20140225 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[seqtk-Sapelo2|seqtk]] || 1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SGA-Sapelo2|SGA]] || 0.10.15 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Shannon-Sapelo2|Shannon]] || 20190826 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[shapeit-Sapelo2|shapeit]] || v2.r904 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Shasta-Sapelo2|Shasta]] || 0.2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ShortStack-Sapelo2|ShortStack]] || 3.8.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Sibelia-Sapelo2|Sibelia]] || 3.0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SICER-Sapelo2|SICER]] || 1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SICERpy-Sapelo2|SICERpy]] || 0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Sickle-Sapelo2|Sickle]] || 1.33 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SignalP-Sapelo2|SignalP]] || 4.1f || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Silix-Sapelo2|Silix]] || 1.2.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SimLoRD-Sapelo2|SimLoRD]] || 1.0.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SINE_Scan-Sapelo2|SINE_Scan]] || 1.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[slda-Sapelo2|slda]] || 0.1.6 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[smoke-Sapelo2|smoke]] || 4.7 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Smoove-Sapelo2|Smoove]] || 0.2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SMRTLINK-Sapelo2|SMRTLINK]] || 5.1.0.26412, 6.0.0.47841, 7.0.1.66975, 8.0.0.79519 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SMRTLINK-Teaching|SMRTLINK]] || 5.0.1.9585, 5.1.0.26412 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Smudgeplot-Sapelo2|Smudgeplot]] || 0.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Snakemake-Sapelo2|Snakemake]] || 5.2.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SNAP-Zoe-Sapelo2|SNAP-Zoe]] || 20060728 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SNAP-Zoe-Teaching|SNAP-Zoe]] || 20060728 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Sniffles-Sapelo2|Sniffles]] || 1.0.8 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SnoReport-Sapelo2|SnoReport]] || 2.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Snippy-Sapelo2|Snippy]] || 4.4.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SNP-ML-Sapelo2|SNP-ML]] || 1.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[snpEff-Sapelo2|snpEff]] || 5.0e || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[snpEff-Teaching|SnpEff]] || 4.3t || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SNPhylo-Sapelo2|SNPhylo]] || 20160204 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[snp-sites-Sapelo2|snp-sites]] || 2.5.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SOAPaligner-Sapelo2 |SOAPaligner]] || 2.21 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SOAPdenovo2-Sapelo2|SOAPdenovo2]] || r240 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SOAPdenovo2-Teaching|SOAPdenovo2]] || r240 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[somaticseq-Sapelo2|somaticseq]] || 3.4.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SOP-GPU-Sapelo2|SOP-GPU]] || 20180404 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SortMeRNA-Sapelo2|SortMeRNA]] || 2.1, 3.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SoX-Sapelo2|SoX]] || 14.4.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SPAdes-Sapelo2|SPAdes]] || 3.11.1, 3.12.0, 3.14.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SPAdes-Teaching|SPAdes]] || 3.11.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[spams-Sapelo2|spams]] || 2.6.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Spanki-Sapelo2|Spanki]] || 0.5.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Spark-Sapelo2|Spark]] || 2.2.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Speciesprimer-Sapelo2|Speciesprimer]] || 2.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SpeedSeq-Sapelo2|SpeedSeq]] || 0.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Spine-Sapelo2|Spine]] || 0.3.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SpliceGrapher-Sapelo2|SpliceGrapher]] || 0.2.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Splitstree4-Sapelo2|Splitstree4]] || 4.16.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SPM-Sapelo2|SPM]] || 12 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[SRAToolKit-Sapelo2 |SRAToolKit]] || 3.0.1, 3.0.3 ||[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[sRNAWorkbench-Sapelo2|sRNAWorkbench]] || 4.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SSAHA2-Sapelo2 |SSAHA2]] || 2.5.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SSPACE-longread-Teaching|SSPACE-longread]] || 1-1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt; &lt;br /&gt;
&amp;lt;!-- | [[SSPACE-STANDARD-Teaching|SSPACE-STANDARD]] || 3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SSPACE-Sapelo2|SSPACE]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Stacks-Sapelo2|Stacks]] || 1.48, 2.2, 2.3, 2.3b, 2.3d, 2.3e || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Stacks-Teaching|Stacks]] || 2.0, 1.48 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Stampy-Sapelo2|Stampy]] || 1.0.31 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[STAR-Fusion-Sapelo2|STAR-Fusion]] || 1.5.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[STAR-Sapelo2|STAR]] || 2.5.3a, 2.6.0c, 2.6.1c, 2.7.1a || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[STAR-Teaching|STAR]] || 2.5.3a, 2.6.0c || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[StrAuto-Sapelo2|StrAuto]] || 1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[StringTie-Sapelo2|StringTie]] || 1.3.3, 1.3.4d, 2.0.3, 2.0.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[StringTie-Teaching|StringTie]] || 2.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- &lt;br /&gt;
| [[Structure-Sapelo2|Structure]] || 2.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Structure-Teaching|Structure]] || 2.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]]  || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[Subread-Sapelo2|Subread]] || 1.6.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SUNTANS-Sapelo2|SUNTANS]] || 20180305 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Supernova-Sapelo2|Supernova]] || 2.0.1, 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SUPPA-Sapelo2|SUPPA]] || 2.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SVDetect-Sapelo2|SVDetect]] || 0.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[svtools-Sapelo2|svtools]] || 0.5.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[SWIG-Sapelo2|SWIG]] || 3.0.12 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Synima-Sapelo2|Synima]] || 20181205 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;T&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[Tabix-Sapelo2|Tabix]] || 0.2.6 |&amp;lt;!-- | [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TASSEL-Sapelo2|TASSEL]] || 5.2.44 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Tbl2asn-Sapelo2|Tbl2asn]] || 04172018, 03282019, 05012020 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TCSF_IMRA-Sapelo2|TCSF_IMRA]] || 1.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TensorFlow-models-Sapelo2|TensorFlow-models]] || 20180620 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TensorFlow-Sapelo2|TensorFlow]] || 1.8.0, 1.10.1, 1.12.0, 1.14 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Theano-Sapelo2|Theano]] || 0.9.0, 1.0.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TigMint-Sapelo2|TigMint]] || 1.1.2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TMHMM-Sapelo2|TMHMM]] || 2.0c || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[tmux-Sapelo2|tmux]] || 2.9 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Tombo-Sapelo2|Tombo]] || 1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Tophat-Sapelo2|Tophat]] || 2.1.0, 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TopHat-Teaching|TopHat]] || 2.1.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[torchvision-Sapelo2|torchvision]] || 0.5.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TPP-Sapelo2|TPP]] || 5.1.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[tqdm-Sapelo2|tqdm]] || 4.43.0, 4.44.1 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TransDecoder-Sapelo2|TransDecoder]] || 2.1.0, 5.3.0, 5.5.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Transposome-Sapelo2|Transposome]] || 0.12.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Transrate-Sapelo2|Transrate]] || 1.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Transrate-Sapelo2|Transrate]] || 1.0.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TreeMix-Sapelo2|TreeMix]] || 1.13 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[TreeTime-Sapelo2|TreeTime]] || 0.6.3 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[trimAl-Sapelo2|TrimAl]] || 1.4.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Trimmomatic-Sapelo2|Trimmomatic]] || 0.36 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Trimmomatic-Teaching|Trimmomatic]] || 0.36 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Trim_Galore-Sapelo2|Trim_Galore]] || 0.4.5, 0.6.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
|&amp;lt;span id =&amp;quot;T&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[Trinity-Sapelo2|Trinity]] || 2.5.1, 2.8.4, 2.8.5, 2.15.1, 2.15.2  || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Trinity-Teaching|Trinity]] || 2.6.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Trinotate-Sapelo2|Trinotate]] || 3.1.1, 3.2.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[tRNAscan-SE-Sapelo2|TRNAscan-SE]] || 2.0.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| &amp;lt;span id =&amp;quot;U&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[UBCG-Sapelo2|UBCG]] || 3.0 &lt;br /&gt;
|[[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|-&lt;br /&gt;
&amp;lt;!-- | [[UCLUST-Sapelo2|UCLUST]] || 1.2.22q || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ucsc-Sapelo2|ucsc]] || 359 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[UMI-tools-Sapelo2|UMI-tools]] || 1.0.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[UPP-Sapelo2|UPP]] || 3.2 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[USEARCH-Sapelo2|USEARCH]] || 10.0.240 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Unicycler-Sapelo2|Unicycler]] || 0.4.7 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;V&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[VarScan-Sapelo2|VarScan]] || 2.4.2 |&amp;lt;!-- | [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[VCF-kit-Sapelo2|VCF-kit]] || 0.1.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[vcf2diploid-Sapelo2|vcf2diploid]] || 0.2.6a || [[:Category:Chemistry|Chemistry]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[vcf2maf-Sapelo2|vcf2maf]] || 20200520 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[vcf2phylip-Sapelo2|vcf2phylip]] || 1.5 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[vcflib-Sapelo2|vcflib]] || 20180410 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[VCFtools-Sapelo2|VCFtools]] || 0.1.15 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[VCFtools-Teaching|VCFtools]] || 0.1.15 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
| [[Velvet-Sapelo2|Velvet]] || 1.2.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Velvet-Teaching|Velvet]] || 1.2.10 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[VelvetOptimiser-Sapelo2|VelvetOptimiser]] || 2.2.5, 2.2.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ViennaRNA-Sapelo2|ViennaRNA]] || 2.4.3, 2.4.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[ViewBS-Sapelo2|ViewBS]] || 0.1.7, 0.1.9 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[Vmatch-Sapelo2|Vmatch]] || 2.3.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[VSEARCH-Sapelo2|VSEARCH]] || 2.8.1 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;W&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[WGS-Sapelo2|WGS]] || 8.3rc2 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WASP-Sapelo2|WASP]] || 0.3.4 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WebLogo-Sapelo2|WebLogo]] || 3.6.0 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WEKA-Sapelo2|WEKA]] || 3.8.3 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WPS-Sapelo2|WPS]] || 3.8 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WPS-Teaching|WPS]] || 3.8 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WRF-Chem-Sapelo2|WRF-Chem]] || 3.6.1, 3.8.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WRF-Fire-Sapelo2|WRF-Fire]] || 20170221 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WRF-Sapelo2|WRF]] || 3.6.1, 3.8.0 || [[:Category:Other|Other]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WRF-Teaching|WRF]] || 3.8 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WRFDA-Teaching|WRFDA]] || 3.8 || [[:Category:Other|Other]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | [[WU Blast-Sapelo2|WU Blast]] || 2.2.6 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;X&amp;quot;&amp;gt;&amp;lt;/span&amp;gt; [[xdot-Teaching|xdot]] || 1.1 || [[:Category:Graphics|Graphics]] || [[:Category:Teaching|Teaching]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- |[[xforms-Sapelo2|xforms]] || 1.2.4 || [[:Category:Graphics|Graphics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!-- | &amp;lt;span id =&amp;quot;Y&amp;quot;&amp;gt;&amp;lt;/span&amp;gt;[[YASRA-Sapelo2|YASRA]] || 2.33 || [[:Category:Bioinformatics|Bioinformatics]] || [[:Category:Sapelo2|Sapelo2]] || [[File:Up20.png|20px|link=#top]] &lt;br /&gt;
|- --&amp;gt;&lt;br /&gt;
&amp;lt;!--LIST END--&amp;gt;&lt;br /&gt;
|}&lt;br /&gt;
[[#top|Back To Top]] [[File:Up20.png|20px|link=#top]]&lt;br /&gt;
&lt;br /&gt;
[[Category:Sapelo2]][[Category:Teaching]][[Category:Software]]&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold-Sapelo2&amp;diff=22534</id>
		<title>AlphaFold-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold-Sapelo2&amp;diff=22534"/>
		<updated>2025-08-13T20:56:02Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Documentation */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
2.3.2&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/deepmind/alphafold&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/deepmind/alphafold: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP14 and published in Nature. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
For more information on Environment Modules on Sapelo2 please see the [[Lmod]] page. Note that as of the OS upgrade from Rocky 8 to Rocky 9 at the end of July, 2025, the previous Singularity containers for older versions of AlphaFold no longer work and are therefore no longer available to users.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 2.3.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Installed with EasyBuild in /apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
To use this version of AlphaFold, please first load the module with&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once you load the module, an environmental variable called EBROOTALPHAFOLD is exported. It stores the AlphaFold installation path on the cluster, i.e., /apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1. The Python script run_alphafold.py is installed in EBROOTALPHAFOLD/bin and a symbolic link called alphafold points to it and can be used to run the program. The database files are in /db/AlphaFold/2.3.2 (note that /apps/db/ directories no longer exist). You can export the environment variable ALPHAFOLD_DATA_DIR to set the location of the database files. For bash, use&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; Remember to request a P100, A100, or H100 GPU device. This version requires a GPU device and it should work on the P100, A100, and H100 devices. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Sample Job Submission scripts&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Sample job submission script (sub.sh) to run AlphaFold 2.3.2 in a batch job (with GPU):&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafoldjobname    &lt;br /&gt;
#SBATCH --partition=gpu_p         &lt;br /&gt;
#SBATCH --ntasks=1                  	&lt;br /&gt;
#SBATCH --cpus-per-task=10&lt;br /&gt;
#SBATCH --gres=gpu:A100:1 #You can specify other GPU devices, like &#039;H100&#039;, here&lt;br /&gt;
#SBATCH --mem=40gb                    &lt;br /&gt;
#SBATCH --time=120:00:00           &lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
alphafold [options]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where [options] need to be replaced by the options (command and arguments) you want to use. Other parameters of the job, such as the maximum wall clock time, maximum memory, the number of cores per node, and the job name need to be modified appropriately as well. &lt;br /&gt;
&lt;br /&gt;
An example of the options to use for the alphafold script:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
alphafold --data_dir /db/AlphaFold/2.3.1 --output_dir ./output --model_names model_1 --fasta_paths ./query.fasta --max_template_date 2021-11-17&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Example of job submission&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
sbatch sub.sh &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== A method to accelerate your calculations ===&lt;br /&gt;
&lt;br /&gt;
If you have many AlphaFold calculations, i.e., need to process many FASTA files, you can run them using an array job (see [[Array_Jobs|here]]). &lt;br /&gt;
&lt;br /&gt;
At the same time you can greatly speed up your calculations by running two separate jobs using the CPU and GPU nodes sequentially:&lt;br /&gt;
&lt;br /&gt;
1. Run the first step of AlphaFold (MSA generation) on the CPU nodes on the batch partition.&lt;br /&gt;
&lt;br /&gt;
2. Then run the second part of AlphaFold (structural modeling) using the &#039;&#039;&#039;--use_precomputed_msas=true&#039;&#039;&#039; option on the GPU nodes on the gpu_p partition. If the computation in this part takes less than 4 hours, you can run the job using the V100 scavenge GPU nodes via batch partition (see [[GPU|here]]).&lt;br /&gt;
&lt;br /&gt;
In order to achieve this, you need to find a way to stop all running element jobs (or elements) in step 1 after all element jobs in step 1 have completed the MSA generation.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
With the help from a GACRC user, we have prepared a shell script called &#039;&#039;&#039;check_and_stop_elements.sh&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
1. This script will check for the presence of the &amp;quot;stop string&amp;quot;, i.e., &#039;&#039;&#039;Running model model_1_multimer_v3_pred_0&#039;&#039;&#039;, in the .err file of each running element you started in step 1. &lt;br /&gt;
&lt;br /&gt;
2. You will run this script in an interactive session (see [[Running_Jobs_on_Sapelo2#How_to_open_an_interactive_session|here]]) or in an OOD X Desktop session (see [[OnDemand#X_Desktop_Session_.28A.K.A._The_Interactive_X_login_app.29|here]]) to monitor your elements during the time of elements running. &lt;br /&gt;
&lt;br /&gt;
3. It will check your running elements with an interval of 5 minutes. If the &amp;quot;stop string&amp;quot; is found in a .err file of a running element, the script will automatically cancel the element for you, such that you can start step 2 as early as possible.&lt;br /&gt;
&lt;br /&gt;
4. You can stop running the script (i.e. stop monitoring elements in step 1) by typing Ctrl + c keys on your keyboard.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
As a quick demo, below is an example job submission script (sub_step1.sh) for running step 1 on batch:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphaMSAs&lt;br /&gt;
#SBATCH --partition=batch&lt;br /&gt;
#SBATCH --ntasks=1&lt;br /&gt;
#SBATCH --cpus-per-task=8&lt;br /&gt;
#SBATCH --mem=32gb&lt;br /&gt;
#SBATCH --time=12:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
#SBATCH --array=1-200&lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
&lt;br /&gt;
file=$(awk &amp;quot;NR==${SLURM_ARRAY_TASK_ID}&amp;quot; input.lst)&lt;br /&gt;
&lt;br /&gt;
alphafold \&lt;br /&gt;
--run_relax=False \&lt;br /&gt;
--data_dir=$ALPHAFOLD_DATA_DIR \&lt;br /&gt;
--model_preset=multimer \&lt;br /&gt;
--num_multimer_predictions_per_model=1 \&lt;br /&gt;
--max_template_date=2023-10-01 \&lt;br /&gt;
--db_preset=full_dbs \&lt;br /&gt;
--output_dir=./outputs/$(basename $file .fa) \&lt;br /&gt;
--fasta_paths=./inputs/$file&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The above input.lst is a single-column text file storing the names of your FASTA files (please refer [[Array_Jobs#Non-Numbered_Input_Files|here]]), for example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
head -n 5 input.lst &lt;br /&gt;
&lt;br /&gt;
PFago.v8prot.zeyw.fa&lt;br /&gt;
PFago.v8prot.zeyx.fa&lt;br /&gt;
PFago.v8prot.zeyy.fa&lt;br /&gt;
PFago.v8prot.zeyz.fa&lt;br /&gt;
PFago.v8prot.zeza.fa&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
and those FASTA files are stored in a folder called inputs in your current job working folder (--fasta_paths=./inputs/$file).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Below is the shell script check_and_stop_elements.sh. You are welcome to copy it for your use:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
&lt;br /&gt;
ArrayID=$1&lt;br /&gt;
&lt;br /&gt;
while true; do&lt;br /&gt;
  numOfRunning=$(squeue -l -j $ArrayID | grep RUNNING | wc -l)&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Pending elements in array job $ArrayID:&amp;quot;&lt;br /&gt;
  squeue -l -j $ArrayID | grep PENDING&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Number of running elements in array job $ArrayID:&amp;quot;&lt;br /&gt;
  echo &amp;quot;$numOfRunning&amp;quot;&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Checking the stop string \&amp;quot;Running model model_1_multimer_v3_pred_0\&amp;quot; in alphaMSAs.*.err for each running element:&amp;quot;&lt;br /&gt;
  echo&lt;br /&gt;
&lt;br /&gt;
  for j in $(squeue -l -j $ArrayID | grep RUNNING | awk &#039;{print $1}&#039;)&lt;br /&gt;
  do&lt;br /&gt;
    jobid=$(scontrol show job $j | grep JobId= | awk &#039;{print $1}&#039; | sed -nr &#039;s|JobId=()|\1|p&#039;)&lt;br /&gt;
    echo -n &amp;quot;Checking alphaMSAs.${jobid}.err ... &amp;quot;&lt;br /&gt;
    grep -m 1 &amp;quot;Running model model_1_multimer_v3_pred_0&amp;quot; alphaMSAs.${jobid}.err 2&amp;gt;&amp;amp;1 1&amp;gt;/dev/null&lt;br /&gt;
    if [ $? -eq 0 ]; then&lt;br /&gt;
      echo -en &amp;quot;\e[31mthe stop string is found!\e[0m ... go to cancel job ${jobid} ($j) ... scancel $j ... \e[32mjob canceled.\e[0m\n&amp;quot;&lt;br /&gt;
      scancel $j&lt;br /&gt;
    else&lt;br /&gt;
      echo -e &amp;quot;the stop string is NOT found!&amp;quot;&lt;br /&gt;
    fi&lt;br /&gt;
   done&lt;br /&gt;
   sleep 300&lt;br /&gt;
   clear&lt;br /&gt;
done&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Before you can run it, please change its mode to executable by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
chmod 755 ./check_and_stop_elements.sh&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Then you can open an interactive session or an OOD X Desktop session to run this script to monitor your elements when they are running on compute nodes by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh &amp;lt;ARRAY_JOB_ID&amp;gt;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please note. The above ARRAY_JOB_ID is the ID of your array job. For example, sq --me or sacct-gacrc -X reports you an JOBID 28026197_1, where 28026197 is the ID of your array job. So, the above command will be:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh 28026197&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Below is example outputs from running the above command line:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh 28026197&lt;br /&gt;
&lt;br /&gt;
Pending elements in array job 28026197:&lt;br /&gt;
&lt;br /&gt;
Number of running elements in array job 28026197:&lt;br /&gt;
6&lt;br /&gt;
&lt;br /&gt;
Checking the stop string &amp;quot;Running model model_1_multimer_v3_pred_0&amp;quot; in alphaMSAs.*.err for each running element:&lt;br /&gt;
&lt;br /&gt;
Checking alphaMSAs.28026197.err ... the stop string is found! ... go to cancel job 28026197 (28026197_10) ... scancel 28026197_10 ... job canceled.&lt;br /&gt;
Checking alphaMSAs.28026206.err ... the stop string is found! ... go to cancel job 28026206 (28026197_9) ... scancel 28026197_9 ... job canceled.&lt;br /&gt;
Checking alphaMSAs.28026205.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026201.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026200.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026199.err ... the stop string is NOT found!&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Once all elements in step 1 have completed the MSA generation, you can go to step 2. As mentioned above, if the computation in step 2 takes less than 4 hours, you can run the job using the V100 scavenge GPU nodes via batch partition. Below is an example job submission script (sub_step2.sh) for running step 2 on the V100 scavenge GPU nodes:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold&lt;br /&gt;
#SBATCH --partition=batch&lt;br /&gt;
#SBATCH --ntasks=1&lt;br /&gt;
#SBATCH --cpus-per-task=8&lt;br /&gt;
#SBATCH --mem=32gb&lt;br /&gt;
#SBATCH --gres=gpu:V100:1&lt;br /&gt;
#SBATCH --time=4:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
#SBATCH --array=1-200&lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
&lt;br /&gt;
ml AAlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
export TF_FORCE_UNIFIED_MEMORY=1&lt;br /&gt;
export XLA_PYTHON_CLIENT_MEM_FRACTION=8&lt;br /&gt;
&lt;br /&gt;
file=$(awk &amp;quot;NR==${SLURM_ARRAY_TASK_ID}&amp;quot; input.lst)&lt;br /&gt;
&lt;br /&gt;
alphafold \&lt;br /&gt;
--run_relax=False \&lt;br /&gt;
--data_dir=$ALPHAFOLD_DATA_DIR \&lt;br /&gt;
--model_preset=multimer \&lt;br /&gt;
--use_precomputed_msas=true \&lt;br /&gt;
--num_multimer_predictions_per_model=1 \&lt;br /&gt;
--max_template_date=2023-10-01 \&lt;br /&gt;
--db_preset=full_dbs \&lt;br /&gt;
--output_dir=./outputs/$(basename $file .fa) \&lt;br /&gt;
--fasta_paths=./inputs/$file&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please note that we use &#039;&#039;&#039;--use_precomputed_msas=true&#039;&#039;&#039; option in the above alphafold command line.&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at https://github.com/deepmind/alphafold.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 2.3.2:&#039;&#039;&#039; Full help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
alphafold --helpfull&lt;br /&gt;
&lt;br /&gt;
Full AlphaFold protein structure prediction script.&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1/bin/alphafold:&lt;br /&gt;
  --[no]benchmark: Run multiple JAX model evaluations to obtain a timing that excludes the compilation time, which should be more indicative of the time required for inferencing many proteins.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --bfd_database_path: Path to the BFD database for use by HHblits.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/bfd/bfd_metaclust_clu_complete_id30_c90_final_seq.sorted_opt&#039;)&lt;br /&gt;
  --data_dir: Path to directory of supporting data.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2&#039;)&lt;br /&gt;
  --db_preset: &amp;lt;full_dbs|reduced_dbs&amp;gt;: Choose preset MSA database configuration - smaller genetic database config (reduced_dbs) or full genetic database config  (full_dbs)&lt;br /&gt;
    (default: &#039;full_dbs&#039;)&lt;br /&gt;
  --fasta_paths: Paths to FASTA files, each containing a prediction target that will be folded one after another. If a FASTA file contains multiple sequences, then it will be folded as a multimer. Paths should be separated by commas. All FASTA paths must have a unique&lt;br /&gt;
    basename as the basename is used to name the output directories for each prediction.&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --hhblits_binary_path: Path to the HHblits executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HH-suite/3.3.0-gompi-2023a/bin/hhblits&#039;)&lt;br /&gt;
  --hhsearch_binary_path: Path to the HHsearch executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HH-suite/3.3.0-gompi-2023a/bin/hhsearch&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the hmmbuild executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the hmmsearch executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/hmmsearch&#039;)&lt;br /&gt;
  --jackhmmer_binary_path: Path to the JackHMMER executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/jackhmmer&#039;)&lt;br /&gt;
  --kalign_binary_path: Path to the Kalign executable.&lt;br /&gt;
    (default: &#039;/apps/eb/Kalign/3.4.0-GCCcore-12.3.0/bin/kalign&#039;)&lt;br /&gt;
  --max_template_date: Maximum template release date to consider. Important if folding historical test sets.&lt;br /&gt;
  --mgnify_database_path: Path to the MGnify database for use by JackHMMER.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/mgnify/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_preset: &amp;lt;monomer|monomer_casp14|monomer_ptm|multimer&amp;gt;: Choose preset model configuration - the monomer model, the monomer model with extra ensembling, monomer model with pTM head, or multimer model&lt;br /&gt;
    (default: &#039;monomer&#039;)&lt;br /&gt;
  --models_to_relax: &amp;lt;all|best|none&amp;gt;: The models to run the final relaxation step on. If `all`, all models are relaxed, which may be time consuming. If `best`, only the most confident model is relaxed. If `none`, relaxation is not run. Turning off relaxation might result&lt;br /&gt;
    in predictions with distracting stereochemical violations but might help in case you are having issues with the relaxation stage.&lt;br /&gt;
    (default: &#039;best&#039;)&lt;br /&gt;
  --num_multimer_predictions_per_model: How many predictions (each with a different random seed) will be generated per model. E.g. if this is 2 and there are 5 models then there will be 10 predictions per input. Note: this FLAG only applies if model_preset=multimer&lt;br /&gt;
    (default: &#039;5&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --obsolete_pdbs_path: Path to file containing a mapping from obsolete PDB IDs to the PDB IDs of their replacements.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb_mmcif/obsolete.dat&#039;)&lt;br /&gt;
  --output_dir: Path to a directory that will store the results.&lt;br /&gt;
  --pdb70_database_path: Path to the PDB70 database for use by HHsearch.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb70/pdb70&#039;)&lt;br /&gt;
  --pdb_seqres_database_path: Path to the PDB seqres database for use by hmmsearch.&lt;br /&gt;
  --random_seed: The random seed for the data pipeline. By default, this is randomly generated. Note that even if this is set, Alphafold may still not be deterministic, because processes like GPU inference are nondeterministic.&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --small_bfd_database_path: Path to the small version of BFD used with the &amp;quot;reduced_dbs&amp;quot; preset.&lt;br /&gt;
  --template_mmcif_dir: Path to a directory with template mmCIF structures, each named &amp;lt;pdb_id&amp;gt;.cif&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb_mmcif/mmcif_files&#039;)&lt;br /&gt;
  --uniprot_database_path: Path to the Uniprot database for use by JackHMMer.&lt;br /&gt;
  --uniref30_database_path: Path to the UniRef30 database for use by HHblits.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/uniref30/UniRef30_2023_02&#039;)&lt;br /&gt;
  --uniref90_database_path: Path to the Uniref90 database for use by JackHMMER.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/uniref90/uniref90.fasta&#039;)&lt;br /&gt;
  --[no]use_gpu_relax: Whether to relax on GPU. Relax on GPU can be much faster than CPU, so it is recommended to enable if possible. GPUs must be available if this setting is enabled.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]use_precomputed_msas: Whether to read MSAs that have been written to disk instead of running the MSA tools. The MSA files are looked up in the output directory, so it must stay the same between multiple runs that are to reuse the MSAs. WARNING: This will not check&lt;br /&gt;
    if the sequence, database or configuration have changed.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.ops.parallel_for.pfor:&lt;br /&gt;
  --[no]op_conversion_fallback_to_while_loop: DEPRECATED: Flag is ignored.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.tpu.client.client:&lt;br /&gt;
  --[no]hbm_oom_exit: Exit the script when the TPU HBM is OOM.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]runtime_oom_exit: Exit the script when the TPU runtime is OOM.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.tpu.tensor_tracer_flags:&lt;br /&gt;
  --delta_threshold: Log if history based diff crosses this threshold.&lt;br /&gt;
    (default: &#039;0.5&#039;)&lt;br /&gt;
    (a number)&lt;br /&gt;
  --[no]tt_check_filter: Terminate early to check op name filtering.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]tt_single_core_summaries: Report single core metric and avoid aggregation.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
&lt;br /&gt;
*Version 2.3.2: Installed using EasyBuild.&lt;br /&gt;
&lt;br /&gt;
*The database files are installed in /db/AlphaFold/2.3.2/&lt;br /&gt;
&lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold-Sapelo2&amp;diff=22533</id>
		<title>AlphaFold-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold-Sapelo2&amp;diff=22533"/>
		<updated>2025-08-13T20:53:20Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
2.3.2&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/deepmind/alphafold&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/deepmind/alphafold: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP14 and published in Nature. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
For more information on Environment Modules on Sapelo2 please see the [[Lmod]] page. Note that as of the OS upgrade from Rocky 8 to Rocky 9 at the end of July, 2025, the previous Singularity containers for older versions of AlphaFold no longer work and are therefore no longer available to users.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 2.3.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Installed with EasyBuild in /apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
To use this version of AlphaFold, please first load the module with&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once you load the module, an environmental variable called EBROOTALPHAFOLD is exported. It stores the AlphaFold installation path on the cluster, i.e., /apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1. The Python script run_alphafold.py is installed in EBROOTALPHAFOLD/bin and a symbolic link called alphafold points to it and can be used to run the program. The database files are in /db/AlphaFold/2.3.2 (note that /apps/db/ directories no longer exist). You can export the environment variable ALPHAFOLD_DATA_DIR to set the location of the database files. For bash, use&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; Remember to request a P100, A100, or H100 GPU device. This version requires a GPU device and it should work on the P100, A100, and H100 devices. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Sample Job Submission scripts&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Sample job submission script (sub.sh) to run AlphaFold 2.3.2 in a batch job (with GPU):&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafoldjobname    &lt;br /&gt;
#SBATCH --partition=gpu_p         &lt;br /&gt;
#SBATCH --ntasks=1                  	&lt;br /&gt;
#SBATCH --cpus-per-task=10&lt;br /&gt;
#SBATCH --gres=gpu:A100:1 #You can specify other GPU devices, like &#039;H100&#039;, here&lt;br /&gt;
#SBATCH --mem=40gb                    &lt;br /&gt;
#SBATCH --time=120:00:00           &lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
alphafold [options]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where [options] need to be replaced by the options (command and arguments) you want to use. Other parameters of the job, such as the maximum wall clock time, maximum memory, the number of cores per node, and the job name need to be modified appropriately as well. &lt;br /&gt;
&lt;br /&gt;
An example of the options to use for the alphafold script:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
alphafold --data_dir /db/AlphaFold/2.3.1 --output_dir ./output --model_names model_1 --fasta_paths ./query.fasta --max_template_date 2021-11-17&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Example of job submission&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
sbatch sub.sh &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== A method to accelerate your calculations ===&lt;br /&gt;
&lt;br /&gt;
If you have many AlphaFold calculations, i.e., need to process many FASTA files, you can run them using an array job (see [[Array_Jobs|here]]). &lt;br /&gt;
&lt;br /&gt;
At the same time you can greatly speed up your calculations by running two separate jobs using the CPU and GPU nodes sequentially:&lt;br /&gt;
&lt;br /&gt;
1. Run the first step of AlphaFold (MSA generation) on the CPU nodes on the batch partition.&lt;br /&gt;
&lt;br /&gt;
2. Then run the second part of AlphaFold (structural modeling) using the &#039;&#039;&#039;--use_precomputed_msas=true&#039;&#039;&#039; option on the GPU nodes on the gpu_p partition. If the computation in this part takes less than 4 hours, you can run the job using the V100 scavenge GPU nodes via batch partition (see [[GPU|here]]).&lt;br /&gt;
&lt;br /&gt;
In order to achieve this, you need to find a way to stop all running element jobs (or elements) in step 1 after all element jobs in step 1 have completed the MSA generation.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
With the help from a GACRC user, we have prepared a shell script called &#039;&#039;&#039;check_and_stop_elements.sh&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
1. This script will check for the presence of the &amp;quot;stop string&amp;quot;, i.e., &#039;&#039;&#039;Running model model_1_multimer_v3_pred_0&#039;&#039;&#039;, in the .err file of each running element you started in step 1. &lt;br /&gt;
&lt;br /&gt;
2. You will run this script in an interactive session (see [[Running_Jobs_on_Sapelo2#How_to_open_an_interactive_session|here]]) or in an OOD X Desktop session (see [[OnDemand#X_Desktop_Session_.28A.K.A._The_Interactive_X_login_app.29|here]]) to monitor your elements during the time of elements running. &lt;br /&gt;
&lt;br /&gt;
3. It will check your running elements with an interval of 5 minutes. If the &amp;quot;stop string&amp;quot; is found in a .err file of a running element, the script will automatically cancel the element for you, such that you can start step 2 as early as possible.&lt;br /&gt;
&lt;br /&gt;
4. You can stop running the script (i.e. stop monitoring elements in step 1) by typing Ctrl + c keys on your keyboard.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
As a quick demo, below is an example job submission script (sub_step1.sh) for running step 1 on batch:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphaMSAs&lt;br /&gt;
#SBATCH --partition=batch&lt;br /&gt;
#SBATCH --ntasks=1&lt;br /&gt;
#SBATCH --cpus-per-task=8&lt;br /&gt;
#SBATCH --mem=32gb&lt;br /&gt;
#SBATCH --time=12:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
#SBATCH --array=1-200&lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
&lt;br /&gt;
file=$(awk &amp;quot;NR==${SLURM_ARRAY_TASK_ID}&amp;quot; input.lst)&lt;br /&gt;
&lt;br /&gt;
alphafold \&lt;br /&gt;
--run_relax=False \&lt;br /&gt;
--data_dir=$ALPHAFOLD_DATA_DIR \&lt;br /&gt;
--model_preset=multimer \&lt;br /&gt;
--num_multimer_predictions_per_model=1 \&lt;br /&gt;
--max_template_date=2023-10-01 \&lt;br /&gt;
--db_preset=full_dbs \&lt;br /&gt;
--output_dir=./outputs/$(basename $file .fa) \&lt;br /&gt;
--fasta_paths=./inputs/$file&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The above input.lst is a single-column text file storing the names of your FASTA files (please refer [[Array_Jobs#Non-Numbered_Input_Files|here]]), for example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
head -n 5 input.lst &lt;br /&gt;
&lt;br /&gt;
PFago.v8prot.zeyw.fa&lt;br /&gt;
PFago.v8prot.zeyx.fa&lt;br /&gt;
PFago.v8prot.zeyy.fa&lt;br /&gt;
PFago.v8prot.zeyz.fa&lt;br /&gt;
PFago.v8prot.zeza.fa&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
and those FASTA files are stored in a folder called inputs in your current job working folder (--fasta_paths=./inputs/$file).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Below is the shell script check_and_stop_elements.sh. You are welcome to copy it for your use:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
&lt;br /&gt;
ArrayID=$1&lt;br /&gt;
&lt;br /&gt;
while true; do&lt;br /&gt;
  numOfRunning=$(squeue -l -j $ArrayID | grep RUNNING | wc -l)&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Pending elements in array job $ArrayID:&amp;quot;&lt;br /&gt;
  squeue -l -j $ArrayID | grep PENDING&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Number of running elements in array job $ArrayID:&amp;quot;&lt;br /&gt;
  echo &amp;quot;$numOfRunning&amp;quot;&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Checking the stop string \&amp;quot;Running model model_1_multimer_v3_pred_0\&amp;quot; in alphaMSAs.*.err for each running element:&amp;quot;&lt;br /&gt;
  echo&lt;br /&gt;
&lt;br /&gt;
  for j in $(squeue -l -j $ArrayID | grep RUNNING | awk &#039;{print $1}&#039;)&lt;br /&gt;
  do&lt;br /&gt;
    jobid=$(scontrol show job $j | grep JobId= | awk &#039;{print $1}&#039; | sed -nr &#039;s|JobId=()|\1|p&#039;)&lt;br /&gt;
    echo -n &amp;quot;Checking alphaMSAs.${jobid}.err ... &amp;quot;&lt;br /&gt;
    grep -m 1 &amp;quot;Running model model_1_multimer_v3_pred_0&amp;quot; alphaMSAs.${jobid}.err 2&amp;gt;&amp;amp;1 1&amp;gt;/dev/null&lt;br /&gt;
    if [ $? -eq 0 ]; then&lt;br /&gt;
      echo -en &amp;quot;\e[31mthe stop string is found!\e[0m ... go to cancel job ${jobid} ($j) ... scancel $j ... \e[32mjob canceled.\e[0m\n&amp;quot;&lt;br /&gt;
      scancel $j&lt;br /&gt;
    else&lt;br /&gt;
      echo -e &amp;quot;the stop string is NOT found!&amp;quot;&lt;br /&gt;
    fi&lt;br /&gt;
   done&lt;br /&gt;
   sleep 300&lt;br /&gt;
   clear&lt;br /&gt;
done&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Before you can run it, please change its mode to executable by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
chmod 755 ./check_and_stop_elements.sh&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Then you can open an interactive session or an OOD X Desktop session to run this script to monitor your elements when they are running on compute nodes by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh &amp;lt;ARRAY_JOB_ID&amp;gt;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please note. The above ARRAY_JOB_ID is the ID of your array job. For example, sq --me or sacct-gacrc -X reports you an JOBID 28026197_1, where 28026197 is the ID of your array job. So, the above command will be:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh 28026197&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Below is example outputs from running the above command line:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh 28026197&lt;br /&gt;
&lt;br /&gt;
Pending elements in array job 28026197:&lt;br /&gt;
&lt;br /&gt;
Number of running elements in array job 28026197:&lt;br /&gt;
6&lt;br /&gt;
&lt;br /&gt;
Checking the stop string &amp;quot;Running model model_1_multimer_v3_pred_0&amp;quot; in alphaMSAs.*.err for each running element:&lt;br /&gt;
&lt;br /&gt;
Checking alphaMSAs.28026197.err ... the stop string is found! ... go to cancel job 28026197 (28026197_10) ... scancel 28026197_10 ... job canceled.&lt;br /&gt;
Checking alphaMSAs.28026206.err ... the stop string is found! ... go to cancel job 28026206 (28026197_9) ... scancel 28026197_9 ... job canceled.&lt;br /&gt;
Checking alphaMSAs.28026205.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026201.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026200.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026199.err ... the stop string is NOT found!&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Once all elements in step 1 have completed the MSA generation, you can go to step 2. As mentioned above, if the computation in step 2 takes less than 4 hours, you can run the job using the V100 scavenge GPU nodes via batch partition. Below is an example job submission script (sub_step2.sh) for running step 2 on the V100 scavenge GPU nodes:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold&lt;br /&gt;
#SBATCH --partition=batch&lt;br /&gt;
#SBATCH --ntasks=1&lt;br /&gt;
#SBATCH --cpus-per-task=8&lt;br /&gt;
#SBATCH --mem=32gb&lt;br /&gt;
#SBATCH --gres=gpu:V100:1&lt;br /&gt;
#SBATCH --time=4:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
#SBATCH --array=1-200&lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
&lt;br /&gt;
ml AAlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
export TF_FORCE_UNIFIED_MEMORY=1&lt;br /&gt;
export XLA_PYTHON_CLIENT_MEM_FRACTION=8&lt;br /&gt;
&lt;br /&gt;
file=$(awk &amp;quot;NR==${SLURM_ARRAY_TASK_ID}&amp;quot; input.lst)&lt;br /&gt;
&lt;br /&gt;
alphafold \&lt;br /&gt;
--run_relax=False \&lt;br /&gt;
--data_dir=$ALPHAFOLD_DATA_DIR \&lt;br /&gt;
--model_preset=multimer \&lt;br /&gt;
--use_precomputed_msas=true \&lt;br /&gt;
--num_multimer_predictions_per_model=1 \&lt;br /&gt;
--max_template_date=2023-10-01 \&lt;br /&gt;
--db_preset=full_dbs \&lt;br /&gt;
--output_dir=./outputs/$(basename $file .fa) \&lt;br /&gt;
--fasta_paths=./inputs/$file&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please note that we use &#039;&#039;&#039;--use_precomputed_msas=true&#039;&#039;&#039; option in the above alphafold command line.&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at https://github.com/deepmind/alphafold.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 2.3.2:&#039;&#039;&#039; Dull help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
alphafold --helpfull&lt;br /&gt;
&lt;br /&gt;
Full AlphaFold protein structure prediction script.&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1/bin/alphafold:&lt;br /&gt;
  --[no]benchmark: Run multiple JAX model evaluations to obtain a timing that excludes the compilation time, which should be more indicative of the time required for inferencing many proteins.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --bfd_database_path: Path to the BFD database for use by HHblits.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/bfd/bfd_metaclust_clu_complete_id30_c90_final_seq.sorted_opt&#039;)&lt;br /&gt;
  --data_dir: Path to directory of supporting data.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2&#039;)&lt;br /&gt;
  --db_preset: &amp;lt;full_dbs|reduced_dbs&amp;gt;: Choose preset MSA database configuration - smaller genetic database config (reduced_dbs) or full genetic database config  (full_dbs)&lt;br /&gt;
    (default: &#039;full_dbs&#039;)&lt;br /&gt;
  --fasta_paths: Paths to FASTA files, each containing a prediction target that will be folded one after another. If a FASTA file contains multiple sequences, then it will be folded as a multimer. Paths should be separated by commas. All FASTA paths must have a unique&lt;br /&gt;
    basename as the basename is used to name the output directories for each prediction.&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --hhblits_binary_path: Path to the HHblits executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HH-suite/3.3.0-gompi-2023a/bin/hhblits&#039;)&lt;br /&gt;
  --hhsearch_binary_path: Path to the HHsearch executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HH-suite/3.3.0-gompi-2023a/bin/hhsearch&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the hmmbuild executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the hmmsearch executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/hmmsearch&#039;)&lt;br /&gt;
  --jackhmmer_binary_path: Path to the JackHMMER executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/jackhmmer&#039;)&lt;br /&gt;
  --kalign_binary_path: Path to the Kalign executable.&lt;br /&gt;
    (default: &#039;/apps/eb/Kalign/3.4.0-GCCcore-12.3.0/bin/kalign&#039;)&lt;br /&gt;
  --max_template_date: Maximum template release date to consider. Important if folding historical test sets.&lt;br /&gt;
  --mgnify_database_path: Path to the MGnify database for use by JackHMMER.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/mgnify/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_preset: &amp;lt;monomer|monomer_casp14|monomer_ptm|multimer&amp;gt;: Choose preset model configuration - the monomer model, the monomer model with extra ensembling, monomer model with pTM head, or multimer model&lt;br /&gt;
    (default: &#039;monomer&#039;)&lt;br /&gt;
  --models_to_relax: &amp;lt;all|best|none&amp;gt;: The models to run the final relaxation step on. If `all`, all models are relaxed, which may be time consuming. If `best`, only the most confident model is relaxed. If `none`, relaxation is not run. Turning off relaxation might result&lt;br /&gt;
    in predictions with distracting stereochemical violations but might help in case you are having issues with the relaxation stage.&lt;br /&gt;
    (default: &#039;best&#039;)&lt;br /&gt;
  --num_multimer_predictions_per_model: How many predictions (each with a different random seed) will be generated per model. E.g. if this is 2 and there are 5 models then there will be 10 predictions per input. Note: this FLAG only applies if model_preset=multimer&lt;br /&gt;
    (default: &#039;5&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --obsolete_pdbs_path: Path to file containing a mapping from obsolete PDB IDs to the PDB IDs of their replacements.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb_mmcif/obsolete.dat&#039;)&lt;br /&gt;
  --output_dir: Path to a directory that will store the results.&lt;br /&gt;
  --pdb70_database_path: Path to the PDB70 database for use by HHsearch.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb70/pdb70&#039;)&lt;br /&gt;
  --pdb_seqres_database_path: Path to the PDB seqres database for use by hmmsearch.&lt;br /&gt;
  --random_seed: The random seed for the data pipeline. By default, this is randomly generated. Note that even if this is set, Alphafold may still not be deterministic, because processes like GPU inference are nondeterministic.&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --small_bfd_database_path: Path to the small version of BFD used with the &amp;quot;reduced_dbs&amp;quot; preset.&lt;br /&gt;
  --template_mmcif_dir: Path to a directory with template mmCIF structures, each named &amp;lt;pdb_id&amp;gt;.cif&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb_mmcif/mmcif_files&#039;)&lt;br /&gt;
  --uniprot_database_path: Path to the Uniprot database for use by JackHMMer.&lt;br /&gt;
  --uniref30_database_path: Path to the UniRef30 database for use by HHblits.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/uniref30/UniRef30_2023_02&#039;)&lt;br /&gt;
  --uniref90_database_path: Path to the Uniref90 database for use by JackHMMER.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/uniref90/uniref90.fasta&#039;)&lt;br /&gt;
  --[no]use_gpu_relax: Whether to relax on GPU. Relax on GPU can be much faster than CPU, so it is recommended to enable if possible. GPUs must be available if this setting is enabled.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]use_precomputed_msas: Whether to read MSAs that have been written to disk instead of running the MSA tools. The MSA files are looked up in the output directory, so it must stay the same between multiple runs that are to reuse the MSAs. WARNING: This will not check&lt;br /&gt;
    if the sequence, database or configuration have changed.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.ops.parallel_for.pfor:&lt;br /&gt;
  --[no]op_conversion_fallback_to_while_loop: DEPRECATED: Flag is ignored.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.tpu.client.client:&lt;br /&gt;
  --[no]hbm_oom_exit: Exit the script when the TPU HBM is OOM.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]runtime_oom_exit: Exit the script when the TPU runtime is OOM.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.tpu.tensor_tracer_flags:&lt;br /&gt;
  --delta_threshold: Log if history based diff crosses this threshold.&lt;br /&gt;
    (default: &#039;0.5&#039;)&lt;br /&gt;
    (a number)&lt;br /&gt;
  --[no]tt_check_filter: Terminate early to check op name filtering.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]tt_single_core_summaries: Report single core metric and avoid aggregation.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
&lt;br /&gt;
*Version 2.3.2: Installed using EasyBuild.&lt;br /&gt;
&lt;br /&gt;
*The database files are installed in /db/AlphaFold/2.3.2/&lt;br /&gt;
&lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold-Sapelo2&amp;diff=22532</id>
		<title>AlphaFold-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold-Sapelo2&amp;diff=22532"/>
		<updated>2025-08-13T20:45:37Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Documentation */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
2.3.2&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/deepmind/alphafold&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/deepmind/alphafold: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP14 and published in Nature. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
For more information on Environment Modules on Sapelo2 please see the [[Lmod]] page. Note that as of the OS upgrade from Rocky 8 to Rocky 9 at the end of July, 2025, the previous Singularity containers for older versions of AlphaFold no longer work and are therefore no longer available to users.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 2.3.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Installed with EasyBuild in /apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
To use this version of AlphaFold, please first load the module with&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once you load the module, an environmental variable called EBROOTALPHAFOLD is exported. It stores the AlphaFold installation path on the cluster, i.e., /apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1. The Python script run_alphafold.py is installed in EBROOTALPHAFOLD/bin and a symbolic link called alphafold points to it and can be used to run the program. The database files are in /db/AlphaFold/2.3.2 (note that /apps/db/ directories no longer exist). You can export the environment variable ALPHAFOLD_DATA_DIR to set the location of the database files. For bash, use&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
However, when you load the &amp;lt;code&amp;gt;AlphaFold/2.3.1-foss-2022a-CUDA-11.7.0&amp;lt;/code&amp;gt; module, this environment variable will be automatically set.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; If you run this program on the gpu_p partition, please request a P100, A100, or H100 GPU device. This version requires a GPU device and it should work on the P100, A100, and H100 devices. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Sample Job Submission scripts&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Sample job submission script (sub.sh) to run AlphaFold 2.3.2 in a batch job (with GPU):&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafoldjobname    &lt;br /&gt;
#SBATCH --partition=gpu_p         &lt;br /&gt;
#SBATCH --ntasks=1                  	&lt;br /&gt;
#SBATCH --cpus-per-task=10&lt;br /&gt;
#SBATCH --gres=gpu:A100:1 #You can specify other GPU devices, like &#039;H100&#039;, here&lt;br /&gt;
#SBATCH --mem=40gb                    &lt;br /&gt;
#SBATCH --time=120:00:00           &lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
alphafold [options]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where [options] need to be replaced by the options (command and arguments) you want to use. Other parameters of the job, such as the maximum wall clock time, maximum memory, the number of cores per node, and the job name need to be modified appropriately as well. &lt;br /&gt;
&lt;br /&gt;
An example of the options to use for the alphafold script:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
alphafold --data_dir /apps/db/AlphaFold/2.3.1 --output_dir ./output --model_names model_1 --fasta_paths ./query.fasta --max_template_date 2021-11-17&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Example of job submission&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
sbatch sub.sh &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== A method to accelerate your calculations ===&lt;br /&gt;
&lt;br /&gt;
If you have many AlphaFold calculations, i.e., need to process many FASTA files, you can run them using an array job (see [[Array_Jobs|here]]). &lt;br /&gt;
&lt;br /&gt;
At the same time you can greatly speed up your calculations by running two separate jobs using the CPU and GPU nodes sequentially:&lt;br /&gt;
&lt;br /&gt;
1. Run the first step of AlphaFold (MSA generation) on the CPU nodes on the batch partition.&lt;br /&gt;
&lt;br /&gt;
2. Then run the second part of AlphaFold (structural modeling) using the &#039;&#039;&#039;--use_precomputed_msas=true&#039;&#039;&#039; option on the GPU nodes on the gpu_p partition. If the computation in this part takes less than 4 hours, you can run the job using the V100 scavenge GPU nodes via batch partition (see [[GPU|here]]).&lt;br /&gt;
&lt;br /&gt;
In order to achieve this, you need to find a way to stop all running element jobs (or elements) in step 1 after all element jobs in step 1 have completed the MSA generation.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
With the help from a GACRC user, we have prepared a shell script called &#039;&#039;&#039;check_and_stop_elements.sh&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
1. This script will check for the presence of the &amp;quot;stop string&amp;quot;, i.e., &#039;&#039;&#039;Running model model_1_multimer_v3_pred_0&#039;&#039;&#039;, in the .err file of each running element you started in step 1. &lt;br /&gt;
&lt;br /&gt;
2. You will run this script in an interactive session (see [[Running_Jobs_on_Sapelo2#How_to_open_an_interactive_session|here]]) or in an OOD X Desktop session (see [[OnDemand#X_Desktop_Session_.28A.K.A._The_Interactive_X_login_app.29|here]]) to monitor your elements during the time of elements running. &lt;br /&gt;
&lt;br /&gt;
3. It will check your running elements with an interval of 5 minutes. If the &amp;quot;stop string&amp;quot; is found in a .err file of a running element, the script will automatically cancel the element for you, such that you can start step 2 as early as possible.&lt;br /&gt;
&lt;br /&gt;
4. You can stop running the script (i.e. stop monitoring elements in step 1) by typing Ctrl + c keys on your keyboard.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
As a quick demo, below is an example job submission script (sub_step1.sh) for running step 1 on batch:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphaMSAs&lt;br /&gt;
#SBATCH --partition=batch&lt;br /&gt;
#SBATCH --ntasks=1&lt;br /&gt;
#SBATCH --cpus-per-task=8&lt;br /&gt;
#SBATCH --mem=32gb&lt;br /&gt;
#SBATCH --time=12:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
#SBATCH --array=1-200&lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
&lt;br /&gt;
file=$(awk &amp;quot;NR==${SLURM_ARRAY_TASK_ID}&amp;quot; input.lst)&lt;br /&gt;
&lt;br /&gt;
alphafold \&lt;br /&gt;
--run_relax=False \&lt;br /&gt;
--data_dir=$ALPHAFOLD_DATA_DIR \&lt;br /&gt;
--model_preset=multimer \&lt;br /&gt;
--num_multimer_predictions_per_model=1 \&lt;br /&gt;
--max_template_date=2023-10-01 \&lt;br /&gt;
--db_preset=full_dbs \&lt;br /&gt;
--output_dir=./outputs/$(basename $file .fa) \&lt;br /&gt;
--fasta_paths=./inputs/$file&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The above input.lst is a single-column text file storing the names of your FASTA files (please refer [[Array_Jobs#Non-Numbered_Input_Files|here]]), for example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
head -n 5 input.lst &lt;br /&gt;
&lt;br /&gt;
PFago.v8prot.zeyw.fa&lt;br /&gt;
PFago.v8prot.zeyx.fa&lt;br /&gt;
PFago.v8prot.zeyy.fa&lt;br /&gt;
PFago.v8prot.zeyz.fa&lt;br /&gt;
PFago.v8prot.zeza.fa&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
and those FASTA files are stored in a folder called inputs in your current job working folder (--fasta_paths=./inputs/$file).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Below is the shell script check_and_stop_elements.sh. You are welcome to copy it for your use:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
&lt;br /&gt;
ArrayID=$1&lt;br /&gt;
&lt;br /&gt;
while true; do&lt;br /&gt;
  numOfRunning=$(squeue -l -j $ArrayID | grep RUNNING | wc -l)&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Pending elements in array job $ArrayID:&amp;quot;&lt;br /&gt;
  squeue -l -j $ArrayID | grep PENDING&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Number of running elements in array job $ArrayID:&amp;quot;&lt;br /&gt;
  echo &amp;quot;$numOfRunning&amp;quot;&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Checking the stop string \&amp;quot;Running model model_1_multimer_v3_pred_0\&amp;quot; in alphaMSAs.*.err for each running element:&amp;quot;&lt;br /&gt;
  echo&lt;br /&gt;
&lt;br /&gt;
  for j in $(squeue -l -j $ArrayID | grep RUNNING | awk &#039;{print $1}&#039;)&lt;br /&gt;
  do&lt;br /&gt;
    jobid=$(scontrol show job $j | grep JobId= | awk &#039;{print $1}&#039; | sed -nr &#039;s|JobId=()|\1|p&#039;)&lt;br /&gt;
    echo -n &amp;quot;Checking alphaMSAs.${jobid}.err ... &amp;quot;&lt;br /&gt;
    grep -m 1 &amp;quot;Running model model_1_multimer_v3_pred_0&amp;quot; alphaMSAs.${jobid}.err 2&amp;gt;&amp;amp;1 1&amp;gt;/dev/null&lt;br /&gt;
    if [ $? -eq 0 ]; then&lt;br /&gt;
      echo -en &amp;quot;\e[31mthe stop string is found!\e[0m ... go to cancel job ${jobid} ($j) ... scancel $j ... \e[32mjob canceled.\e[0m\n&amp;quot;&lt;br /&gt;
      scancel $j&lt;br /&gt;
    else&lt;br /&gt;
      echo -e &amp;quot;the stop string is NOT found!&amp;quot;&lt;br /&gt;
    fi&lt;br /&gt;
   done&lt;br /&gt;
   sleep 300&lt;br /&gt;
   clear&lt;br /&gt;
done&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Before you can run it, please change its mode to executable by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
chmod 755 ./check_and_stop_elements.sh&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Then you can open an interactive session or an OOD X Desktop session to run this script to monitor your elements when they are running on compute nodes by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh &amp;lt;ARRAY_JOB_ID&amp;gt;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please note. The above ARRAY_JOB_ID is the ID of your array job. For example, sq --me or sacct-gacrc -X reports you an JOBID 28026197_1, where 28026197 is the ID of your array job. So, the above command will be:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh 28026197&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Below is example outputs from running the above command line:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh 28026197&lt;br /&gt;
&lt;br /&gt;
Pending elements in array job 28026197:&lt;br /&gt;
&lt;br /&gt;
Number of running elements in array job 28026197:&lt;br /&gt;
6&lt;br /&gt;
&lt;br /&gt;
Checking the stop string &amp;quot;Running model model_1_multimer_v3_pred_0&amp;quot; in alphaMSAs.*.err for each running element:&lt;br /&gt;
&lt;br /&gt;
Checking alphaMSAs.28026197.err ... the stop string is found! ... go to cancel job 28026197 (28026197_10) ... scancel 28026197_10 ... job canceled.&lt;br /&gt;
Checking alphaMSAs.28026206.err ... the stop string is found! ... go to cancel job 28026206 (28026197_9) ... scancel 28026197_9 ... job canceled.&lt;br /&gt;
Checking alphaMSAs.28026205.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026201.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026200.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026199.err ... the stop string is NOT found!&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Once all elements in step 1 have completed the MSA generation, you can go to step 2. As mentioned above, if the computation in step 2 takes less than 4 hours, you can run the job using the V100 scavenge GPU nodes via batch partition. Below is an example job submission script (sub_step2.sh) for running step 2 on the V100 scavenge GPU nodes:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold&lt;br /&gt;
#SBATCH --partition=batch&lt;br /&gt;
#SBATCH --ntasks=1&lt;br /&gt;
#SBATCH --cpus-per-task=8&lt;br /&gt;
#SBATCH --mem=32gb&lt;br /&gt;
#SBATCH --gres=gpu:V100:1&lt;br /&gt;
#SBATCH --time=4:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
#SBATCH --array=1-200&lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
&lt;br /&gt;
ml AAlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
export TF_FORCE_UNIFIED_MEMORY=1&lt;br /&gt;
export XLA_PYTHON_CLIENT_MEM_FRACTION=8&lt;br /&gt;
&lt;br /&gt;
file=$(awk &amp;quot;NR==${SLURM_ARRAY_TASK_ID}&amp;quot; input.lst)&lt;br /&gt;
&lt;br /&gt;
alphafold \&lt;br /&gt;
--run_relax=False \&lt;br /&gt;
--data_dir=$ALPHAFOLD_DATA_DIR \&lt;br /&gt;
--model_preset=multimer \&lt;br /&gt;
--use_precomputed_msas=true \&lt;br /&gt;
--num_multimer_predictions_per_model=1 \&lt;br /&gt;
--max_template_date=2023-10-01 \&lt;br /&gt;
--db_preset=full_dbs \&lt;br /&gt;
--output_dir=./outputs/$(basename $file .fa) \&lt;br /&gt;
--fasta_paths=./inputs/$file&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please note that we use &#039;&#039;&#039;--use_precomputed_msas=true&#039;&#039;&#039; option in the above alphafold command line.&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at https://github.com/deepmind/alphafold.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 2.3.2:&#039;&#039;&#039; Dull help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
alphafold --helpfull&lt;br /&gt;
&lt;br /&gt;
Full AlphaFold protein structure prediction script.&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1/bin/alphafold:&lt;br /&gt;
  --[no]benchmark: Run multiple JAX model evaluations to obtain a timing that excludes the compilation time, which should be more indicative of the time required for inferencing many proteins.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --bfd_database_path: Path to the BFD database for use by HHblits.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/bfd/bfd_metaclust_clu_complete_id30_c90_final_seq.sorted_opt&#039;)&lt;br /&gt;
  --data_dir: Path to directory of supporting data.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2&#039;)&lt;br /&gt;
  --db_preset: &amp;lt;full_dbs|reduced_dbs&amp;gt;: Choose preset MSA database configuration - smaller genetic database config (reduced_dbs) or full genetic database config  (full_dbs)&lt;br /&gt;
    (default: &#039;full_dbs&#039;)&lt;br /&gt;
  --fasta_paths: Paths to FASTA files, each containing a prediction target that will be folded one after another. If a FASTA file contains multiple sequences, then it will be folded as a multimer. Paths should be separated by commas. All FASTA paths must have a unique&lt;br /&gt;
    basename as the basename is used to name the output directories for each prediction.&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --hhblits_binary_path: Path to the HHblits executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HH-suite/3.3.0-gompi-2023a/bin/hhblits&#039;)&lt;br /&gt;
  --hhsearch_binary_path: Path to the HHsearch executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HH-suite/3.3.0-gompi-2023a/bin/hhsearch&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the hmmbuild executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the hmmsearch executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/hmmsearch&#039;)&lt;br /&gt;
  --jackhmmer_binary_path: Path to the JackHMMER executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/jackhmmer&#039;)&lt;br /&gt;
  --kalign_binary_path: Path to the Kalign executable.&lt;br /&gt;
    (default: &#039;/apps/eb/Kalign/3.4.0-GCCcore-12.3.0/bin/kalign&#039;)&lt;br /&gt;
  --max_template_date: Maximum template release date to consider. Important if folding historical test sets.&lt;br /&gt;
  --mgnify_database_path: Path to the MGnify database for use by JackHMMER.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/mgnify/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_preset: &amp;lt;monomer|monomer_casp14|monomer_ptm|multimer&amp;gt;: Choose preset model configuration - the monomer model, the monomer model with extra ensembling, monomer model with pTM head, or multimer model&lt;br /&gt;
    (default: &#039;monomer&#039;)&lt;br /&gt;
  --models_to_relax: &amp;lt;all|best|none&amp;gt;: The models to run the final relaxation step on. If `all`, all models are relaxed, which may be time consuming. If `best`, only the most confident model is relaxed. If `none`, relaxation is not run. Turning off relaxation might result&lt;br /&gt;
    in predictions with distracting stereochemical violations but might help in case you are having issues with the relaxation stage.&lt;br /&gt;
    (default: &#039;best&#039;)&lt;br /&gt;
  --num_multimer_predictions_per_model: How many predictions (each with a different random seed) will be generated per model. E.g. if this is 2 and there are 5 models then there will be 10 predictions per input. Note: this FLAG only applies if model_preset=multimer&lt;br /&gt;
    (default: &#039;5&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --obsolete_pdbs_path: Path to file containing a mapping from obsolete PDB IDs to the PDB IDs of their replacements.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb_mmcif/obsolete.dat&#039;)&lt;br /&gt;
  --output_dir: Path to a directory that will store the results.&lt;br /&gt;
  --pdb70_database_path: Path to the PDB70 database for use by HHsearch.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb70/pdb70&#039;)&lt;br /&gt;
  --pdb_seqres_database_path: Path to the PDB seqres database for use by hmmsearch.&lt;br /&gt;
  --random_seed: The random seed for the data pipeline. By default, this is randomly generated. Note that even if this is set, Alphafold may still not be deterministic, because processes like GPU inference are nondeterministic.&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --small_bfd_database_path: Path to the small version of BFD used with the &amp;quot;reduced_dbs&amp;quot; preset.&lt;br /&gt;
  --template_mmcif_dir: Path to a directory with template mmCIF structures, each named &amp;lt;pdb_id&amp;gt;.cif&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb_mmcif/mmcif_files&#039;)&lt;br /&gt;
  --uniprot_database_path: Path to the Uniprot database for use by JackHMMer.&lt;br /&gt;
  --uniref30_database_path: Path to the UniRef30 database for use by HHblits.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/uniref30/UniRef30_2023_02&#039;)&lt;br /&gt;
  --uniref90_database_path: Path to the Uniref90 database for use by JackHMMER.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/uniref90/uniref90.fasta&#039;)&lt;br /&gt;
  --[no]use_gpu_relax: Whether to relax on GPU. Relax on GPU can be much faster than CPU, so it is recommended to enable if possible. GPUs must be available if this setting is enabled.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]use_precomputed_msas: Whether to read MSAs that have been written to disk instead of running the MSA tools. The MSA files are looked up in the output directory, so it must stay the same between multiple runs that are to reuse the MSAs. WARNING: This will not check&lt;br /&gt;
    if the sequence, database or configuration have changed.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.ops.parallel_for.pfor:&lt;br /&gt;
  --[no]op_conversion_fallback_to_while_loop: DEPRECATED: Flag is ignored.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.tpu.client.client:&lt;br /&gt;
  --[no]hbm_oom_exit: Exit the script when the TPU HBM is OOM.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]runtime_oom_exit: Exit the script when the TPU runtime is OOM.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.tpu.tensor_tracer_flags:&lt;br /&gt;
  --delta_threshold: Log if history based diff crosses this threshold.&lt;br /&gt;
    (default: &#039;0.5&#039;)&lt;br /&gt;
    (a number)&lt;br /&gt;
  --[no]tt_check_filter: Terminate early to check op name filtering.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]tt_single_core_summaries: Report single core metric and avoid aggregation.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
&lt;br /&gt;
*Version 2.3.2: Installed using EasyBuild.&lt;br /&gt;
&lt;br /&gt;
*The database files are installed in /db/AlphaFold/2.3.2/&lt;br /&gt;
&lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=AlphaFold-Sapelo2&amp;diff=22531</id>
		<title>AlphaFold-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=AlphaFold-Sapelo2&amp;diff=22531"/>
		<updated>2025-08-13T20:45:01Z</updated>

		<summary type="html">&lt;p&gt;Jordan: Overhauled the documentation after the July 2025 maintenance to reflect the fact that we have v2.3.2 installed centrally and nothing else for AF2.&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
&lt;br /&gt;
=== Category ===&lt;br /&gt;
Bioinformatics&lt;br /&gt;
&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
&lt;br /&gt;
=== Version ===&lt;br /&gt;
2.3.2&lt;br /&gt;
&lt;br /&gt;
=== Author / Distributor ===&lt;br /&gt;
Please see https://github.com/deepmind/alphafold&lt;br /&gt;
&lt;br /&gt;
=== Description ===&lt;br /&gt;
From https://github.com/deepmind/alphafold: &amp;quot;This package provides an implementation of the inference pipeline of AlphaFold v2.0. This is a completely new model that was entered in CASP14 and published in Nature. &amp;quot; &lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
For more information on Environment Modules on Sapelo2 please see the [[Lmod]] page. Note that as of the OS upgrade from Rocky 8 to Rocky 9 at the end of July, 2025, the previous Singularity containers for older versions of AlphaFold no longer work and are therefore no longer available to users.&lt;br /&gt;
&lt;br /&gt;
*&#039;&#039;&#039;Version 2.3.2&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Installed with EasyBuild in /apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
To use this version of AlphaFold, please first load the module with&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Once you load the module, an environmental variable called EBROOTALPHAFOLD is exported. It stores the AlphaFold installation path on the cluster, i.e., /apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1. The Python script run_alphafold.py is installed in EBROOTALPHAFOLD/bin and a symbolic link called alphafold points to it and can be used to run the program. The database files are in /db/AlphaFold/2.3.2 (note that /apps/db/ directories no longer exist). You can export the environment variable ALPHAFOLD_DATA_DIR to set the location of the database files. For bash, use&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
However, when you load the &amp;lt;code&amp;gt;AlphaFold/2.3.1-foss-2022a-CUDA-11.7.0&amp;lt;/code&amp;gt; module, this environment variable will be automatically set.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Note:&#039;&#039;&#039; If you run this program on the gpu_p partition, please request a P100, A100, or H100 GPU device. This version requires a GPU device and it should work on the P100, A100, and H100 devices. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Sample Job Submission scripts&#039;&#039;&#039;&lt;br /&gt;
&lt;br /&gt;
Sample job submission script (sub.sh) to run AlphaFold 2.3.2 in a batch job (with GPU):&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafoldjobname    &lt;br /&gt;
#SBATCH --partition=gpu_p         &lt;br /&gt;
#SBATCH --ntasks=1                  	&lt;br /&gt;
#SBATCH --cpus-per-task=10&lt;br /&gt;
#SBATCH --gres=gpu:A100:1 #You can specify other GPU devices, like &#039;H100&#039;, here&lt;br /&gt;
#SBATCH --mem=40gb                    &lt;br /&gt;
#SBATCH --time=120:00:00           &lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
alphafold [options]&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where [options] need to be replaced by the options (command and arguments) you want to use. Other parameters of the job, such as the maximum wall clock time, maximum memory, the number of cores per node, and the job name need to be modified appropriately as well. &lt;br /&gt;
&lt;br /&gt;
An example of the options to use for the alphafold script:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
alphafold --data_dir /apps/db/AlphaFold/2.3.1 --output_dir ./output --model_names model_1 --fasta_paths ./query.fasta --max_template_date 2021-11-17&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Example of job submission&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
sbatch sub.sh &lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== A method to accelerate your calculations ===&lt;br /&gt;
&lt;br /&gt;
If you have many AlphaFold calculations, i.e., need to process many FASTA files, you can run them using an array job (see [[Array_Jobs|here]]). &lt;br /&gt;
&lt;br /&gt;
At the same time you can greatly speed up your calculations by running two separate jobs using the CPU and GPU nodes sequentially:&lt;br /&gt;
&lt;br /&gt;
1. Run the first step of AlphaFold (MSA generation) on the CPU nodes on the batch partition.&lt;br /&gt;
&lt;br /&gt;
2. Then run the second part of AlphaFold (structural modeling) using the &#039;&#039;&#039;--use_precomputed_msas=true&#039;&#039;&#039; option on the GPU nodes on the gpu_p partition. If the computation in this part takes less than 4 hours, you can run the job using the V100 scavenge GPU nodes via batch partition (see [[GPU|here]]).&lt;br /&gt;
&lt;br /&gt;
In order to achieve this, you need to find a way to stop all running element jobs (or elements) in step 1 after all element jobs in step 1 have completed the MSA generation.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
With the help from a GACRC user, we have prepared a shell script called &#039;&#039;&#039;check_and_stop_elements.sh&#039;&#039;&#039;:&lt;br /&gt;
&lt;br /&gt;
1. This script will check for the presence of the &amp;quot;stop string&amp;quot;, i.e., &#039;&#039;&#039;Running model model_1_multimer_v3_pred_0&#039;&#039;&#039;, in the .err file of each running element you started in step 1. &lt;br /&gt;
&lt;br /&gt;
2. You will run this script in an interactive session (see [[Running_Jobs_on_Sapelo2#How_to_open_an_interactive_session|here]]) or in an OOD X Desktop session (see [[OnDemand#X_Desktop_Session_.28A.K.A._The_Interactive_X_login_app.29|here]]) to monitor your elements during the time of elements running. &lt;br /&gt;
&lt;br /&gt;
3. It will check your running elements with an interval of 5 minutes. If the &amp;quot;stop string&amp;quot; is found in a .err file of a running element, the script will automatically cancel the element for you, such that you can start step 2 as early as possible.&lt;br /&gt;
&lt;br /&gt;
4. You can stop running the script (i.e. stop monitoring elements in step 1) by typing Ctrl + c keys on your keyboard.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
As a quick demo, below is an example job submission script (sub_step1.sh) for running step 1 on batch:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphaMSAs&lt;br /&gt;
#SBATCH --partition=batch&lt;br /&gt;
#SBATCH --ntasks=1&lt;br /&gt;
#SBATCH --cpus-per-task=8&lt;br /&gt;
#SBATCH --mem=32gb&lt;br /&gt;
#SBATCH --time=12:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
#SBATCH --array=1-200&lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
&lt;br /&gt;
file=$(awk &amp;quot;NR==${SLURM_ARRAY_TASK_ID}&amp;quot; input.lst)&lt;br /&gt;
&lt;br /&gt;
alphafold \&lt;br /&gt;
--run_relax=False \&lt;br /&gt;
--data_dir=$ALPHAFOLD_DATA_DIR \&lt;br /&gt;
--model_preset=multimer \&lt;br /&gt;
--num_multimer_predictions_per_model=1 \&lt;br /&gt;
--max_template_date=2023-10-01 \&lt;br /&gt;
--db_preset=full_dbs \&lt;br /&gt;
--output_dir=./outputs/$(basename $file .fa) \&lt;br /&gt;
--fasta_paths=./inputs/$file&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The above input.lst is a single-column text file storing the names of your FASTA files (please refer [[Array_Jobs#Non-Numbered_Input_Files|here]]), for example:&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
head -n 5 input.lst &lt;br /&gt;
&lt;br /&gt;
PFago.v8prot.zeyw.fa&lt;br /&gt;
PFago.v8prot.zeyx.fa&lt;br /&gt;
PFago.v8prot.zeyy.fa&lt;br /&gt;
PFago.v8prot.zeyz.fa&lt;br /&gt;
PFago.v8prot.zeza.fa&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
and those FASTA files are stored in a folder called inputs in your current job working folder (--fasta_paths=./inputs/$file).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Below is the shell script check_and_stop_elements.sh. You are welcome to copy it for your use:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
&lt;br /&gt;
ArrayID=$1&lt;br /&gt;
&lt;br /&gt;
while true; do&lt;br /&gt;
  numOfRunning=$(squeue -l -j $ArrayID | grep RUNNING | wc -l)&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Pending elements in array job $ArrayID:&amp;quot;&lt;br /&gt;
  squeue -l -j $ArrayID | grep PENDING&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Number of running elements in array job $ArrayID:&amp;quot;&lt;br /&gt;
  echo &amp;quot;$numOfRunning&amp;quot;&lt;br /&gt;
  echo&lt;br /&gt;
  echo &amp;quot;Checking the stop string \&amp;quot;Running model model_1_multimer_v3_pred_0\&amp;quot; in alphaMSAs.*.err for each running element:&amp;quot;&lt;br /&gt;
  echo&lt;br /&gt;
&lt;br /&gt;
  for j in $(squeue -l -j $ArrayID | grep RUNNING | awk &#039;{print $1}&#039;)&lt;br /&gt;
  do&lt;br /&gt;
    jobid=$(scontrol show job $j | grep JobId= | awk &#039;{print $1}&#039; | sed -nr &#039;s|JobId=()|\1|p&#039;)&lt;br /&gt;
    echo -n &amp;quot;Checking alphaMSAs.${jobid}.err ... &amp;quot;&lt;br /&gt;
    grep -m 1 &amp;quot;Running model model_1_multimer_v3_pred_0&amp;quot; alphaMSAs.${jobid}.err 2&amp;gt;&amp;amp;1 1&amp;gt;/dev/null&lt;br /&gt;
    if [ $? -eq 0 ]; then&lt;br /&gt;
      echo -en &amp;quot;\e[31mthe stop string is found!\e[0m ... go to cancel job ${jobid} ($j) ... scancel $j ... \e[32mjob canceled.\e[0m\n&amp;quot;&lt;br /&gt;
      scancel $j&lt;br /&gt;
    else&lt;br /&gt;
      echo -e &amp;quot;the stop string is NOT found!&amp;quot;&lt;br /&gt;
    fi&lt;br /&gt;
   done&lt;br /&gt;
   sleep 300&lt;br /&gt;
   clear&lt;br /&gt;
done&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Before you can run it, please change its mode to executable by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
chmod 755 ./check_and_stop_elements.sh&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Then you can open an interactive session or an OOD X Desktop session to run this script to monitor your elements when they are running on compute nodes by:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh &amp;lt;ARRAY_JOB_ID&amp;gt;&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please note. The above ARRAY_JOB_ID is the ID of your array job. For example, sq --me or sacct-gacrc -X reports you an JOBID 28026197_1, where 28026197 is the ID of your array job. So, the above command will be:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh 28026197&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Below is example outputs from running the above command line:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
./check_and_stop_elements.sh 28026197&lt;br /&gt;
&lt;br /&gt;
Pending elements in array job 28026197:&lt;br /&gt;
&lt;br /&gt;
Number of running elements in array job 28026197:&lt;br /&gt;
6&lt;br /&gt;
&lt;br /&gt;
Checking the stop string &amp;quot;Running model model_1_multimer_v3_pred_0&amp;quot; in alphaMSAs.*.err for each running element:&lt;br /&gt;
&lt;br /&gt;
Checking alphaMSAs.28026197.err ... the stop string is found! ... go to cancel job 28026197 (28026197_10) ... scancel 28026197_10 ... job canceled.&lt;br /&gt;
Checking alphaMSAs.28026206.err ... the stop string is found! ... go to cancel job 28026206 (28026197_9) ... scancel 28026197_9 ... job canceled.&lt;br /&gt;
Checking alphaMSAs.28026205.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026201.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026200.err ... the stop string is NOT found!&lt;br /&gt;
Checking alphaMSAs.28026199.err ... the stop string is NOT found!&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Once all elements in step 1 have completed the MSA generation, you can go to step 2. As mentioned above, if the computation in step 2 takes less than 4 hours, you can run the job using the V100 scavenge GPU nodes via batch partition. Below is an example job submission script (sub_step2.sh) for running step 2 on the V100 scavenge GPU nodes:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
#!/bin/bash&lt;br /&gt;
#SBATCH --job-name=alphafold&lt;br /&gt;
#SBATCH --partition=batch&lt;br /&gt;
#SBATCH --ntasks=1&lt;br /&gt;
#SBATCH --cpus-per-task=8&lt;br /&gt;
#SBATCH --mem=32gb&lt;br /&gt;
#SBATCH --gres=gpu:V100:1&lt;br /&gt;
#SBATCH --time=4:00:00&lt;br /&gt;
#SBATCH --output=%x.%j.out     &lt;br /&gt;
#SBATCH --error=%x.%j.err          &lt;br /&gt;
#SBATCH --array=1-200&lt;br /&gt;
&lt;br /&gt;
cd $SLURM_SUBMIT_DIR&lt;br /&gt;
&lt;br /&gt;
ml purge&lt;br /&gt;
&lt;br /&gt;
ml AAlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
export ALPHAFOLD_DATA_DIR=/db/AlphaFold/2.3.2&lt;br /&gt;
export TF_FORCE_UNIFIED_MEMORY=1&lt;br /&gt;
export XLA_PYTHON_CLIENT_MEM_FRACTION=8&lt;br /&gt;
&lt;br /&gt;
file=$(awk &amp;quot;NR==${SLURM_ARRAY_TASK_ID}&amp;quot; input.lst)&lt;br /&gt;
&lt;br /&gt;
alphafold \&lt;br /&gt;
--run_relax=False \&lt;br /&gt;
--data_dir=$ALPHAFOLD_DATA_DIR \&lt;br /&gt;
--model_preset=multimer \&lt;br /&gt;
--use_precomputed_msas=true \&lt;br /&gt;
--num_multimer_predictions_per_model=1 \&lt;br /&gt;
--max_template_date=2023-10-01 \&lt;br /&gt;
--db_preset=full_dbs \&lt;br /&gt;
--output_dir=./outputs/$(basename $file .fa) \&lt;br /&gt;
--fasta_paths=./inputs/$file&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Please note that we use &#039;&#039;&#039;--use_precomputed_msas=true&#039;&#039;&#039; option in the above alphafold command line.&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Details and references are at https://github.com/deepmind/alphafold.&lt;br /&gt;
&lt;br /&gt;
&#039;&#039;&#039;Version 2.3.2:&#039;&#039;&#039; Short help options&lt;br /&gt;
&amp;lt;pre  class=&amp;quot;gcommand&amp;quot;&amp;gt;&lt;br /&gt;
ml AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
alphafold --helpfull&lt;br /&gt;
&lt;br /&gt;
Full AlphaFold protein structure prediction script.&lt;br /&gt;
flags:&lt;br /&gt;
&lt;br /&gt;
/apps/eb/AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1/bin/alphafold:&lt;br /&gt;
  --[no]benchmark: Run multiple JAX model evaluations to obtain a timing that excludes the compilation time, which should be more indicative of the time required for inferencing many proteins.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --bfd_database_path: Path to the BFD database for use by HHblits.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/bfd/bfd_metaclust_clu_complete_id30_c90_final_seq.sorted_opt&#039;)&lt;br /&gt;
  --data_dir: Path to directory of supporting data.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2&#039;)&lt;br /&gt;
  --db_preset: &amp;lt;full_dbs|reduced_dbs&amp;gt;: Choose preset MSA database configuration - smaller genetic database config (reduced_dbs) or full genetic database config  (full_dbs)&lt;br /&gt;
    (default: &#039;full_dbs&#039;)&lt;br /&gt;
  --fasta_paths: Paths to FASTA files, each containing a prediction target that will be folded one after another. If a FASTA file contains multiple sequences, then it will be folded as a multimer. Paths should be separated by commas. All FASTA paths must have a unique&lt;br /&gt;
    basename as the basename is used to name the output directories for each prediction.&lt;br /&gt;
    (a comma separated list)&lt;br /&gt;
  --hhblits_binary_path: Path to the HHblits executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HH-suite/3.3.0-gompi-2023a/bin/hhblits&#039;)&lt;br /&gt;
  --hhsearch_binary_path: Path to the HHsearch executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HH-suite/3.3.0-gompi-2023a/bin/hhsearch&#039;)&lt;br /&gt;
  --hmmbuild_binary_path: Path to the hmmbuild executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/hmmbuild&#039;)&lt;br /&gt;
  --hmmsearch_binary_path: Path to the hmmsearch executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/hmmsearch&#039;)&lt;br /&gt;
  --jackhmmer_binary_path: Path to the JackHMMER executable.&lt;br /&gt;
    (default: &#039;/apps/eb/HMMER/3.4-gompi-2023a/bin/jackhmmer&#039;)&lt;br /&gt;
  --kalign_binary_path: Path to the Kalign executable.&lt;br /&gt;
    (default: &#039;/apps/eb/Kalign/3.4.0-GCCcore-12.3.0/bin/kalign&#039;)&lt;br /&gt;
  --max_template_date: Maximum template release date to consider. Important if folding historical test sets.&lt;br /&gt;
  --mgnify_database_path: Path to the MGnify database for use by JackHMMER.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/mgnify/mgy_clusters_2022_05.fa&#039;)&lt;br /&gt;
  --model_preset: &amp;lt;monomer|monomer_casp14|monomer_ptm|multimer&amp;gt;: Choose preset model configuration - the monomer model, the monomer model with extra ensembling, monomer model with pTM head, or multimer model&lt;br /&gt;
    (default: &#039;monomer&#039;)&lt;br /&gt;
  --models_to_relax: &amp;lt;all|best|none&amp;gt;: The models to run the final relaxation step on. If `all`, all models are relaxed, which may be time consuming. If `best`, only the most confident model is relaxed. If `none`, relaxation is not run. Turning off relaxation might result&lt;br /&gt;
    in predictions with distracting stereochemical violations but might help in case you are having issues with the relaxation stage.&lt;br /&gt;
    (default: &#039;best&#039;)&lt;br /&gt;
  --num_multimer_predictions_per_model: How many predictions (each with a different random seed) will be generated per model. E.g. if this is 2 and there are 5 models then there will be 10 predictions per input. Note: this FLAG only applies if model_preset=multimer&lt;br /&gt;
    (default: &#039;5&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --obsolete_pdbs_path: Path to file containing a mapping from obsolete PDB IDs to the PDB IDs of their replacements.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb_mmcif/obsolete.dat&#039;)&lt;br /&gt;
  --output_dir: Path to a directory that will store the results.&lt;br /&gt;
  --pdb70_database_path: Path to the PDB70 database for use by HHsearch.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb70/pdb70&#039;)&lt;br /&gt;
  --pdb_seqres_database_path: Path to the PDB seqres database for use by hmmsearch.&lt;br /&gt;
  --random_seed: The random seed for the data pipeline. By default, this is randomly generated. Note that even if this is set, Alphafold may still not be deterministic, because processes like GPU inference are nondeterministic.&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --small_bfd_database_path: Path to the small version of BFD used with the &amp;quot;reduced_dbs&amp;quot; preset.&lt;br /&gt;
  --template_mmcif_dir: Path to a directory with template mmCIF structures, each named &amp;lt;pdb_id&amp;gt;.cif&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/pdb_mmcif/mmcif_files&#039;)&lt;br /&gt;
  --uniprot_database_path: Path to the Uniprot database for use by JackHMMer.&lt;br /&gt;
  --uniref30_database_path: Path to the UniRef30 database for use by HHblits.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/uniref30/UniRef30_2023_02&#039;)&lt;br /&gt;
  --uniref90_database_path: Path to the Uniref90 database for use by JackHMMER.&lt;br /&gt;
    (default: &#039;/db/AlphaFold/2.3.2/uniref90/uniref90.fasta&#039;)&lt;br /&gt;
  --[no]use_gpu_relax: Whether to relax on GPU. Relax on GPU can be much faster than CPU, so it is recommended to enable if possible. GPUs must be available if this setting is enabled.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]use_precomputed_msas: Whether to read MSAs that have been written to disk instead of running the MSA tools. The MSA files are looked up in the output directory, so it must stay the same between multiple runs that are to reuse the MSAs. WARNING: This will not check&lt;br /&gt;
    if the sequence, database or configuration have changed.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.app:&lt;br /&gt;
  -?,--[no]help: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpfull: show full help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpshort: show this help&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]helpxml: like --helpfull, but generates XML output&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]only_check_args: Set to true to validate args and exit.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb: Alias for --pdb_post_mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]pdb_post_mortem: Set to true to handle uncaught exceptions with PDB post mortem.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --profile_file: Dump profile information to a file (for python -m pstats). Implies --run_with_profiling.&lt;br /&gt;
  --[no]run_with_pdb: Set to true for PDB debug mode&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]run_with_profiling: Set to true for profiling the script. Execution will be slower, and the output format might change over time.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]use_cprofile_for_profiling: Use cProfile instead of the profile module for profiling. This has no effect unless --run_with_profiling is set.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.logging:&lt;br /&gt;
  --[no]alsologtostderr: also log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --log_dir: directory to write logfiles into&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --logger_levels: Specify log level of loggers. The format is a CSV list of `name:level`. Where `name` is the logger name used with `logging.getLogger()`, and `level` is a level name  (INFO, DEBUG, etc). e.g. `myapp.foo:INFO,other.logger:DEBUG`&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --[no]logtostderr: Should only log to stderr?&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]showprefixforinfo: If False, do not prepend prefix to info messages when it&#039;s logged to stderr, --verbosity is set to INFO level, and python logging is used.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --stderrthreshold: log messages at this level, or more severe, to stderr in addition to the logfile.  Possible values are &#039;debug&#039;, &#039;info&#039;, &#039;warning&#039;, &#039;error&#039;, and &#039;fatal&#039;.  Obsoletes --alsologtostderr. Using --alsologtostderr cancels the effect of this flag. Please also&lt;br /&gt;
    note that this flag is subject to --verbosity and requires logfile not be stderr.&lt;br /&gt;
    (default: &#039;fatal&#039;)&lt;br /&gt;
  -v,--verbosity: Logging verbosity level. Messages logged at this level or lower will be included. Set to 1 for debug logging. If the flag was not set or supplied, the value will be changed from the default of -1 (warning) to 0 (info) after flags are parsed.&lt;br /&gt;
    (default: &#039;-1&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
&lt;br /&gt;
absl.testing.absltest:&lt;br /&gt;
  --test_random_seed: Random seed for testing. Some test frameworks may change the default value of this flag between runs, so it is not appropriate for seeding probabilistic tests.&lt;br /&gt;
    (default: &#039;301&#039;)&lt;br /&gt;
    (an integer)&lt;br /&gt;
  --test_randomize_ordering_seed: If positive, use this as a seed to randomize the execution order for test cases. If &amp;quot;random&amp;quot;, pick a random seed to use. If 0 or not set, do not randomize test case execution order. This flag also overrides the&lt;br /&gt;
    TEST_RANDOMIZE_ORDERING_SEED environment variable.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_srcdir: Root of directory tree where source files live&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --test_tmpdir: Directory for temporary testing files&lt;br /&gt;
    (default: &#039;/tmp/absl_testing&#039;)&lt;br /&gt;
  --xml_output_file: File to store XML test results&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.ops.parallel_for.pfor:&lt;br /&gt;
  --[no]op_conversion_fallback_to_while_loop: DEPRECATED: Flag is ignored.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.tpu.client.client:&lt;br /&gt;
  --[no]hbm_oom_exit: Exit the script when the TPU HBM is OOM.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
  --[no]runtime_oom_exit: Exit the script when the TPU runtime is OOM.&lt;br /&gt;
    (default: &#039;true&#039;)&lt;br /&gt;
&lt;br /&gt;
tensorflow.python.tpu.tensor_tracer_flags:&lt;br /&gt;
  --delta_threshold: Log if history based diff crosses this threshold.&lt;br /&gt;
    (default: &#039;0.5&#039;)&lt;br /&gt;
    (a number)&lt;br /&gt;
  --[no]tt_check_filter: Terminate early to check op name filtering.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
  --[no]tt_single_core_summaries: Report single core metric and avoid aggregation.&lt;br /&gt;
    (default: &#039;false&#039;)&lt;br /&gt;
&lt;br /&gt;
absl.flags:&lt;br /&gt;
  --flagfile: Insert flag definitions from the given file into the command line.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
  --undefok: comma-separated list of flag names that it is okay to specify on the command line even if the program does not define a flag with that name.  IMPORTANT: flags in this list that have arguments MUST use the --flag=value format.&lt;br /&gt;
    (default: &#039;&#039;)&lt;br /&gt;
&lt;br /&gt;
&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[#top|Back to Top]]&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
&lt;br /&gt;
*Version 2.3.2: Installed using EasyBuild.&lt;br /&gt;
&lt;br /&gt;
*The database files are installed in /db/AlphaFold/2.3.2/&lt;br /&gt;
&lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Software_installed_on_Rocky_9&amp;diff=22470</id>
		<title>Software installed on Rocky 9</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Software_installed_on_Rocky_9&amp;diff=22470"/>
		<updated>2025-07-08T18:48:41Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* List of software already installed centrally on the Rocky 9 system (new Sapelo2, available after the maintenance) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
As part of our July 29-31,2025 maintenance window, the GACRC will be upgrading the Sapelo2 cluster operating system from Rocky 8 to Rocky 9. &lt;br /&gt;
&lt;br /&gt;
Because this is a major OS update, we need to recompile all the applications and ensure that they work with the new version of OS.&lt;br /&gt;
&lt;br /&gt;
Below is a list of the modules already installed on the Rocky 9 system. More software packages continue to be installed. If the software you need is not in this list yet, please feel free to let us know, if you would like us to install it centrally on the updated cluster.&lt;br /&gt;
&lt;br /&gt;
All singularity containers available in /apps/singularity-images on the current Sapelo2 (Rocky 8) will continue to be available after the maintenance.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===List of software already installed centrally on the Rocky 9 system (new Sapelo2, available after the maintenance)===&lt;br /&gt;
&lt;br /&gt;
   ABySS/2.3.7-foss-2023a&lt;br /&gt;
   ADMIXTURE/1.3.0&lt;br /&gt;
   AFNI/25.1.01-foss-2024a&lt;br /&gt;
   AGAT/1.4.0-GCC-12.3.0&lt;br /&gt;
   AMOS/3.1.0-foss-2023a&lt;br /&gt;
   ANIcalculator/1.0-GCCcore-11.3.0&lt;br /&gt;
   ANSYS/2025R1&lt;br /&gt;
   ANTLR/2.7.7-GCCcore-12.3.0-Java-11&lt;br /&gt;
   ANTLR/2.7.7-GCCcore-13.3.0-Java-17                 &lt;br /&gt;
   APR-util/1.6.3-GCCcore-13.3.0&lt;br /&gt;
   APR/1.7.4-GCCcore-13.3.0&lt;br /&gt;
   ASE/3.22.1-foss-2022a&lt;br /&gt;
   ASE/3.23.0-gfbf-2024a                              &lt;br /&gt;
   ASTRAL/5.7.8-Java-1.8.0_241&lt;br /&gt;
   ATK/2.38.0-GCCcore-11.3.0&lt;br /&gt;
   ATK/2.38.0-GCCcore-12.3.0&lt;br /&gt;
   ATK/2.38.0-GCCcore-13.2.0                          &lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2022a&lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2023a&lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2024a&lt;br /&gt;
   AUGUSTUS/3.5.0-20240612-foss-2023a                 &lt;br /&gt;
   Abseil/20230125.3-GCCcore-12.3.0&lt;br /&gt;
   Abseil/20240116.1-GCCcore-13.2.0&lt;br /&gt;
   Abseil/20240722.0-GCCcore-13.3.0                   &lt;br /&gt;
   Albumentations/1.3.0-foss-2022a&lt;br /&gt;
   Albumentations/1.4.0-foss-2023a                    &lt;br /&gt;
   AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
   AlphaPulldown/2.0.3-foss-2023a-CUDA-12.1.1&lt;br /&gt;
   Amber/22.4-foss-2022a-AmberTools-22.5-CUDA-11.7.0&lt;br /&gt;
   Amber/24.3-foss-2022a-AmberTools-24.10-CUDA-12.1.1 &lt;br /&gt;
   Ancestry_HMM/1.0.2-foss-2024a&lt;br /&gt;
   Archive-Zip/1.68-GCCcore-12.3.0&lt;br /&gt;
   Archive-Zip/1.68-GCCcore-13.3.0                    &lt;br /&gt;
   Armadillo/11.4.3-foss-2022a&lt;br /&gt;
   Armadillo/12.6.2-foss-2023a&lt;br /&gt;
   Armadillo/12.8.0-foss-2023b&lt;br /&gt;
   Armadillo/14.0.3-foss-2024a                        &lt;br /&gt;
   Arrow/14.0.1-gfbf-2023a&lt;br /&gt;
   Arrow/16.1.0-gfbf-2023b&lt;br /&gt;
   Arrow/17.0.0-gfbf-2024a                            &lt;br /&gt;
   Autoconf/2.71-GCCcore-11.3.0&lt;br /&gt;
   Autoconf/2.71-GCCcore-12.3.0&lt;br /&gt;
   Autoconf/2.71-GCCcore-13.2.0&lt;br /&gt;
   Autoconf/2.71&lt;br /&gt;
   Autoconf/2.72-GCCcore-13.3.0                       &lt;br /&gt;
   Automake/1.16.5-GCCcore-11.3.0&lt;br /&gt;
   Automake/1.16.5-GCCcore-12.3.0&lt;br /&gt;
   Automake/1.16.5-GCCcore-13.2.0&lt;br /&gt;
   Automake/1.16.5-GCCcore-13.3.0&lt;br /&gt;
   Automake/1.16.5                                    &lt;br /&gt;
   Autotools/20220317-GCCcore-11.3.0&lt;br /&gt;
   Autotools/20220317-GCCcore-12.3.0&lt;br /&gt;
   Autotools/20220317-GCCcore-13.2.0&lt;br /&gt;
   Autotools/20220317&lt;br /&gt;
   Autotools/20231222-GCCcore-13.3.0                  &lt;br /&gt;
   BBMap/39.01-GCC-11.3.0&lt;br /&gt;
   BBMap/39.01-GCC-12.3.0&lt;br /&gt;
   BBMap/39.19-GCC-13.3.0                             &lt;br /&gt;
   BCFtools/1.15.1-GCC-11.3.0&lt;br /&gt;
   BCFtools/1.18-GCC-12.3.0&lt;br /&gt;
   BCFtools/1.21-GCC-13.3.0                           &lt;br /&gt;
   BEDOPS/2.4.41-foss-2023a&lt;br /&gt;
   BEDTools/2.31.0-GCC-12.3.0&lt;br /&gt;
   BEDTools/2.31.1-GCC-13.3.0                         &lt;br /&gt;
   BLAST+/2.13.0-gompi-2022a&lt;br /&gt;
   BLAST+/2.14.1-gompi-2023a&lt;br /&gt;
   BLAST+/2.16.0-gompi-2024a                          &lt;br /&gt;
   BLAT/3.7-GCC-11.3.0&lt;br /&gt;
   BLAT/3.7-GCC-12.3.0                                &lt;br /&gt;
   BLIS/0.9.0-GCC-11.3.0&lt;br /&gt;
   BLIS/0.9.0-GCC-12.3.0&lt;br /&gt;
   BLIS/0.9.0-GCC-13.2.0&lt;br /&gt;
   BLIS/1.0-GCC-13.3.0                                &lt;br /&gt;
   BRAKER/3.0.8-foss-2023a&lt;br /&gt;
   BUSCO/5.8.3-foss-2023a&lt;br /&gt;
   BWA/0.7.17-GCCcore-11.3.0&lt;br /&gt;
   BWA/0.7.17-GCCcore-12.3.0&lt;br /&gt;
   BWA/0.7.18-GCCcore-13.2.0&lt;br /&gt;
   BWA/0.7.18-GCCcore-13.3.0                          &lt;br /&gt;
   BamTools/2.5.2-GCC-11.3.0&lt;br /&gt;
   BamTools/2.5.2-GCC-12.3.0&lt;br /&gt;
   BamTools/2.5.2-GCC-13.3.0                          &lt;br /&gt;
   Bandage/0.9.0-GCCcore-12.3.0&lt;br /&gt;
   Bazel/6.1.0-GCCcore-12.3.0&lt;br /&gt;
   Bazel/6.3.1-GCCcore-12.3.0                         &lt;br /&gt;
   Beagle/5.4.22Jul22.46e-Java-11&lt;br /&gt;
   Beast/2.7.7-GCC-12.3.0-CUDA-12.1.1&lt;br /&gt;
   BeautifulSoup/4.12.2-GCCcore-12.3.0&lt;br /&gt;
   BeautifulSoup/4.12.2-GCCcore-13.2.0&lt;br /&gt;
   BeautifulSoup/4.12.3-GCCcore-13.3.0                &lt;br /&gt;
   Bio-DB-HTS/3.01-GCC-12.3.0&lt;br /&gt;
   Bio-DB-HTS/3.01-GCC-13.3.0                         &lt;br /&gt;
   Bio-SearchIO-hmmer/1.7.3-GCC-12.3.0&lt;br /&gt;
   BioPerl/1.7.2-GCCcore-13.3.0&lt;br /&gt;
   BioPerl/1.7.8-GCCcore-11.3.0&lt;br /&gt;
   BioPerl/1.7.8-GCCcore-12.3.0&lt;br /&gt;
   BioPerl/1.7.8-GCCcore-13.2.0&lt;br /&gt;
   BioPerl/1.7.8-GCCcore-13.3.0                       &lt;br /&gt;
   Biopython/1.79-foss-2022a&lt;br /&gt;
   Biopython/1.83-foss-2023a&lt;br /&gt;
   Biopython/1.84-foss-2023b&lt;br /&gt;
   Biopython/1.84-foss-2024a                          &lt;br /&gt;
   Bismark/0.24.2-GCC-12.3.0&lt;br /&gt;
   Bison/3.8.2-GCCcore-11.3.0&lt;br /&gt;
   Bison/3.8.2-GCCcore-12.3.0&lt;br /&gt;
   Bison/3.8.2-GCCcore-13.2.0&lt;br /&gt;
   Bison/3.8.2-GCCcore-13.3.0&lt;br /&gt;
   Bison/3.8.2                                        &lt;br /&gt;
   Blosc/1.21.5-GCCcore-12.3.0&lt;br /&gt;
   Blosc/1.21.6-GCCcore-13.3.0                        &lt;br /&gt;
   Blosc2/2.17.0-GCCcore-13.3.0&lt;br /&gt;
   Boltz/2.1.1&lt;br /&gt;
   Boost.MPI/1.79.0-gompi-2022a&lt;br /&gt;
   Boost.MPI/1.82.0-gompi-2023a                       &lt;br /&gt;
   Boost.Python/1.82.0-GCC-12.3.0&lt;br /&gt;
   Boost.Python/1.85.0-GCC-13.3.0                     &lt;br /&gt;
   Boost/1.75.0-GCC-12.3.0&lt;br /&gt;
   Boost/1.79.0-GCC-11.3.0&lt;br /&gt;
   Boost/1.82.0-GCC-12.3.0&lt;br /&gt;
   Boost/1.83.0-GCC-13.2.0&lt;br /&gt;
   Boost/1.85.0-GCC-13.3.0                            &lt;br /&gt;
   Bowtie/1.3.1-GCC-11.3.0&lt;br /&gt;
   Bowtie/1.3.1-GCC-12.3.0                            &lt;br /&gt;
   Bowtie2/2.4.5-GCC-11.3.0&lt;br /&gt;
   Bowtie2/2.5.1-GCC-12.3.0&lt;br /&gt;
   Bowtie2/2.5.2-GCC-11.3.0                           &lt;br /&gt;
   Bracken/3.1-GCCcore-12.3.0&lt;br /&gt;
   BrainNetViewer/20191031&lt;br /&gt;
   Brotli-python/1.1.0-GCCcore-13.3.0&lt;br /&gt;
   Brotli/1.0.9-GCCcore-11.3.0&lt;br /&gt;
   Brotli/1.0.9-GCCcore-12.3.0&lt;br /&gt;
   Brotli/1.1.0-GCCcore-13.2.0&lt;br /&gt;
   Brotli/1.1.0-GCCcore-13.3.0                        &lt;br /&gt;
   Brunsli/0.1-GCCcore-12.3.0&lt;br /&gt;
   Brunsli/0.1-GCCcore-13.2.0&lt;br /&gt;
   Brunsli/0.1-GCCcore-13.3.0                         &lt;br /&gt;
   CD-HIT/4.8.1-GCC-11.3.0&lt;br /&gt;
   CD-HIT/4.8.1-GCC-12.3.0                            &lt;br /&gt;
   CDBtools/0.99-GCC-12.3.0&lt;br /&gt;
   CDO/2.4.4-gompi-2024a&lt;br /&gt;
   CFITSIO/4.3.0-GCCcore-12.3.0&lt;br /&gt;
   CFITSIO/4.3.1-GCCcore-13.2.0&lt;br /&gt;
   CFITSIO/4.4.1-GCCcore-13.3.0                       &lt;br /&gt;
   CGAL/5.6.1-GCCcore-13.3.0&lt;br /&gt;
   CMSeq/1.0.4-foss-2024a&lt;br /&gt;
   CMake/3.18.4&lt;br /&gt;
   CMake/3.23.1-GCCcore-11.3.0&lt;br /&gt;
   CMake/3.24.3-GCCcore-11.3.0&lt;br /&gt;
   CMake/3.26.3-GCCcore-12.3.0&lt;br /&gt;
   CMake/3.27.6-GCCcore-13.2.0&lt;br /&gt;
   CMake/3.29.3-GCCcore-13.3.0                        &lt;br /&gt;
   CUDA/11.7.0&lt;br /&gt;
   CUDA/12.1.1&lt;br /&gt;
   CUDA/12.4.0&lt;br /&gt;
   CUDA/12.6.0                                        &lt;br /&gt;
   CUnit/2.1-3-GCCcore-12.3.0&lt;br /&gt;
   CVXPY/1.4.2-foss-2023a&lt;br /&gt;
   CapnProto/0.10.2-GCCcore-11.3.0&lt;br /&gt;
   CapnProto/1.0.1.1-GCCcore-13.2.0&lt;br /&gt;
   CapnProto/1.1.0-GCCcore-13.3.0                     &lt;br /&gt;
   Cartopy/0.22.0-foss-2023a&lt;br /&gt;
   Catch2/2.13.9-GCCcore-12.3.0&lt;br /&gt;
   Catch2/2.13.9-GCCcore-13.2.0&lt;br /&gt;
   Catch2/2.13.10-GCCcore-13.3.0                      &lt;br /&gt;
   Cbc/2.10.12-foss-2024a&lt;br /&gt;
   Cereal/1.3.0&lt;br /&gt;
   Cereal/1.3.2                                       &lt;br /&gt;
   Cgl/0.60.8-foss-2024a&lt;br /&gt;
   CharLS/2.4.2-GCCcore-13.3.0&lt;br /&gt;
   CheMPS2/1.8.12-foss-2023a&lt;br /&gt;
   CheMPS2/1.8.12-foss-2023b&lt;br /&gt;
   CheMPS2/1.8.12-foss-2024a                          &lt;br /&gt;
   Check/0.15.2-GCCcore-13.3.0&lt;br /&gt;
   CheckM-Database/2015_01_16&lt;br /&gt;
   CheckM/1.2.2-foss-2022a&lt;br /&gt;
   Circlator/1.5.5-foss-2023a&lt;br /&gt;
   Clang/13.0.1-GCCcore-11.3.0&lt;br /&gt;
   Clang/16.0.6-GCCcore-12.3.0-CUDA-12.1.1&lt;br /&gt;
   Clang/16.0.6-GCCcore-12.3.0&lt;br /&gt;
   Clang/18.1.8-GCCcore-13.3.0-CUDA-12.6.0&lt;br /&gt;
   Clang/18.1.8-GCCcore-13.3.0                        &lt;br /&gt;
   Clarabel.rs/0.7.1-gfbf-2023a&lt;br /&gt;
   Clp/1.17.10-foss-2024a&lt;br /&gt;
   Clustal-Omega/1.2.4-GCC-12.3.0&lt;br /&gt;
   ClustalW2/2.1-GCC-12.3.0&lt;br /&gt;
   CodingQuarry/2.0-foss-2023a&lt;br /&gt;
   CoinUtils/2.11.12-GCC-13.3.0&lt;br /&gt;
   Compress-Raw-Zlib/2.213-GCCcore-12.3.0&lt;br /&gt;
   Compress-Raw-Zlib/2.213-GCCcore-13.3.0             &lt;br /&gt;
   Consed/29.0-foss-2022a&lt;br /&gt;
   CoordgenLibs/3.0.2-gompi-2023a&lt;br /&gt;
   CoverM/0.4.0&lt;br /&gt;
   CppUnit/1.15.1-GCCcore-12.3.0&lt;br /&gt;
   Cufflinks/20190706-GCC-12.3.0&lt;br /&gt;
   Cython/0.29.37-GCCcore-13.3.0-Python-2.7.18&lt;br /&gt;
   Cython/3.0.7-GCCcore-12.3.0&lt;br /&gt;
   Cython/3.0.8-GCCcore-12.3.0&lt;br /&gt;
   Cython/3.0.10-GCCcore-13.2.0&lt;br /&gt;
   Cython/3.0.10-GCCcore-13.3.0                       &lt;br /&gt;
   DB/18.1.40-GCCcore-11.3.0&lt;br /&gt;
   DB/18.1.40-GCCcore-12.3.0&lt;br /&gt;
   DB/18.1.40-GCCcore-13.2.0&lt;br /&gt;
   DB/18.1.40-GCCcore-13.3.0                          &lt;br /&gt;
   DBD-mysql/4.050-GCC-12.3.0&lt;br /&gt;
   DB_File/1.858-GCCcore-11.3.0&lt;br /&gt;
   DB_File/1.859-GCCcore-12.3.0&lt;br /&gt;
   DB_File/1.859-GCCcore-13.2.0&lt;br /&gt;
   DB_File/1.859-GCCcore-13.3.0                       &lt;br /&gt;
   DBus/1.14.0-GCCcore-11.3.0&lt;br /&gt;
   DBus/1.15.4-GCCcore-12.3.0&lt;br /&gt;
   DBus/1.15.8-GCCcore-13.2.0&lt;br /&gt;
   DBus/1.15.8-GCCcore-13.3.0                         &lt;br /&gt;
   DIAMOND/2.1.0-GCC-11.3.0&lt;br /&gt;
   DIAMOND/2.1.8-GCC-12.3.0&lt;br /&gt;
   DIAMOND/2.1.9-GCC-13.2.0&lt;br /&gt;
   DIAMOND/2.1.11-GCC-13.3.0                          &lt;br /&gt;
   Delly/1.3.3-GCC-13.3.0&lt;br /&gt;
   DendroPy/4.5.2-GCCcore-11.3.0&lt;br /&gt;
   DendroPy/4.6.1-GCCcore-12.3.0                      &lt;br /&gt;
   Doxygen/1.9.4-GCCcore-11.3.0&lt;br /&gt;
   Doxygen/1.9.7-GCCcore-12.3.0&lt;br /&gt;
   Doxygen/1.9.8-GCCcore-13.2.0&lt;br /&gt;
   Doxygen/1.11.0-GCCcore-13.3.0                      &lt;br /&gt;
   ELPA/2024.05.001-foss-2024a&lt;br /&gt;
   EMBOSS/6.6.0-foss-2023a&lt;br /&gt;
   ESMF/8.6.0-foss-2023a&lt;br /&gt;
   ETE/3.1.3-foss-2023a&lt;br /&gt;
   EVidenceModeler/2.1.0-foss-2023a&lt;br /&gt;
   EasyBuild/4.7.2&lt;br /&gt;
   EasyBuild/4.8.0&lt;br /&gt;
   EasyBuild/4.9.4&lt;br /&gt;
   Eigen/3.4.0-GCCcore-11.3.0&lt;br /&gt;
   Eigen/3.4.0-GCCcore-12.3.0&lt;br /&gt;
   Eigen/3.4.0-GCCcore-13.2.0&lt;br /&gt;
   Eigen/3.4.0-GCCcore-13.3.0                         &lt;br /&gt;
   Exonerate/2.4.0-GCC-12.3.0&lt;br /&gt;
   Exonerate/2.4.0-GCC-13.3.0                         &lt;br /&gt;
   FASTA/36.3.8i-GCC-12.3.0&lt;br /&gt;
   FASTX-Toolkit/0.0.14-GCC-11.3.0&lt;br /&gt;
   FFTW.MPI/3.3.10-gompi-2022a&lt;br /&gt;
   FFTW.MPI/3.3.10-gompi-2023a&lt;br /&gt;
   FFTW.MPI/3.3.10-gompi-2023b&lt;br /&gt;
   FFTW.MPI/3.3.10-gompi-2024a                        &lt;br /&gt;
   FFTW/3.3.10-GCC-11.3.0&lt;br /&gt;
   FFTW/3.3.10-GCC-12.3.0&lt;br /&gt;
   FFTW/3.3.10-GCC-13.2.0&lt;br /&gt;
   FFTW/3.3.10-GCC-13.3.0                             &lt;br /&gt;
   FFmpeg/4.4.2-GCCcore-11.3.0&lt;br /&gt;
   FFmpeg/6.0-GCCcore-12.3.0&lt;br /&gt;
   FFmpeg/6.0-GCCcore-13.2.0&lt;br /&gt;
   FFmpeg/7.0.2-GCCcore-13.3.0                        &lt;br /&gt;
   FLAC/1.3.4-GCCcore-11.3.0&lt;br /&gt;
   FLAC/1.4.2-GCCcore-12.3.0&lt;br /&gt;
   FLAC/1.4.3-GCCcore-13.2.0&lt;br /&gt;
   FLAC/1.4.3-GCCcore-13.3.0                          &lt;br /&gt;
   FLASH/2.2.00-GCCcore-13.3.0&lt;br /&gt;
   FastANI/1.33-GCC-11.3.0&lt;br /&gt;
   FastANI/1.34-GCC-13.2.0                            &lt;br /&gt;
   FastK/1.1.0-GCC-12.3.0&lt;br /&gt;
   FastME/2.1.6.3-GCC-12.3.0&lt;br /&gt;
   FastQC/0.11.9-Java-11&lt;br /&gt;
   FastQC/0.12.1-Java-11                              &lt;br /&gt;
   FastTree/2.1.11-GCCcore-11.3.0&lt;br /&gt;
   FastTree/2.1.11-GCCcore-12.3.0&lt;br /&gt;
   FastTree/2.1.11-GCCcore-13.2.0                     &lt;br /&gt;
   Fastaq/3.17.0-GCC-12.3.0&lt;br /&gt;
   Filtlong/0.2.1-GCC-12.3.0&lt;br /&gt;
   Fiona/1.8.21-foss-2022a&lt;br /&gt;
   Fiona/1.9.5-foss-2023a&lt;br /&gt;
   Fiona/1.10.1-foss-2024a                            &lt;br /&gt;
   Flask/2.2.2-GCCcore-11.3.0&lt;br /&gt;
   Flask/2.3.3-GCCcore-12.3.0&lt;br /&gt;
   Flask/3.0.3-GCCcore-13.3.0                         &lt;br /&gt;
   FlexiBLAS/3.2.0-GCC-11.3.0&lt;br /&gt;
   FlexiBLAS/3.3.1-GCC-12.3.0&lt;br /&gt;
   FlexiBLAS/3.3.1-GCC-13.2.0&lt;br /&gt;
   FlexiBLAS/3.4.4-GCC-13.3.0                         &lt;br /&gt;
   Flye/2.9.5-GCC-13.3.0&lt;br /&gt;
   FreeSurfer/7.4.1-GCCcore-12.3.0&lt;br /&gt;
   FreeXL/2.0.0-GCCcore-12.3.0&lt;br /&gt;
   FriBidi/1.0.12-GCCcore-11.3.0&lt;br /&gt;
   FriBidi/1.0.12-GCCcore-12.3.0&lt;br /&gt;
   FriBidi/1.0.13-GCCcore-13.2.0&lt;br /&gt;
   FriBidi/1.0.15-GCCcore-13.3.0                      &lt;br /&gt;
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   pkgconfig/1.5.5-GCCcore-12.3.0-python              &lt;br /&gt;
   plotly.py/5.12.0-GCCcore-11.3.0&lt;br /&gt;
   plotly.py/5.16.0-GCCcore-12.3.0&lt;br /&gt;
   plotly.py/5.18.0-GCCcore-13.2.0&lt;br /&gt;
   plotly.py/5.24.1-GCCcore-13.3.0                    &lt;br /&gt;
   pocl/1.8-GCC-11.3.0&lt;br /&gt;
   pocl/4.0-GCC-12.3.0-CUDA-12.1.1&lt;br /&gt;
   pocl/4.0-GCC-12.3.0                                &lt;br /&gt;
   poetry/1.5.1-GCCcore-12.3.0&lt;br /&gt;
   poetry/1.6.1-GCCcore-13.2.0&lt;br /&gt;
   poetry/1.7.1-GCCcore-12.3.0&lt;br /&gt;
   poetry/1.8.3-GCCcore-13.3.0                        &lt;br /&gt;
   poppler/23.09.0-GCC-12.3.0&lt;br /&gt;
   pplacer/1.1.alpha19&lt;br /&gt;
   pretty-yaml/24.7.0-GCCcore-12.3.0&lt;br /&gt;
   prodigal/2.6.3-GCCcore-11.3.0&lt;br /&gt;
   prodigal/2.6.3-GCCcore-12.3.0                      &lt;br /&gt;
   prokka/1.14.5-gompi-2023a&lt;br /&gt;
   protobuf-python/3.19.4-GCCcore-11.3.0&lt;br /&gt;
   protobuf-python/4.24.0-GCCcore-12.3.0&lt;br /&gt;
   protobuf-python/4.25.3-GCCcore-13.2.0              &lt;br /&gt;
   protobuf/3.19.4-GCCcore-11.3.0&lt;br /&gt;
   protobuf/24.0-GCCcore-12.3.0&lt;br /&gt;
   protobuf/25.3-GCCcore-13.2.0                       &lt;br /&gt;
   psutil/5.9.8-GCCcore-12.3.0&lt;br /&gt;
   psutil/6.0.0-GCCcore-13.3.0&lt;br /&gt;
   psutil/6.1.0-GCCcore-13.2.0                        &lt;br /&gt;
   psycopg/3.1.18-GCCcore-13.2.0&lt;br /&gt;
   psycopg/3.2.3-GCCcore-13.3.0                       &lt;br /&gt;
   psycopg2/2.9.9-GCCcore-12.3.0&lt;br /&gt;
   pugixml/1.14-GCCcore-12.3.0&lt;br /&gt;
   py-cpuinfo/9.0.0-GCCcore-12.3.0&lt;br /&gt;
   py-cpuinfo/9.0.0-GCCcore-13.2.0&lt;br /&gt;
   py-cpuinfo/9.0.0-GCCcore-13.3.0                    &lt;br /&gt;
   pyBigWig/0.3.22-gfbf-2023a&lt;br /&gt;
   pybedtools/0.9.1-foss-2023a&lt;br /&gt;
   pybind11/2.9.2-GCCcore-11.3.0&lt;br /&gt;
   pybind11/2.11.1-GCCcore-12.3.0&lt;br /&gt;
   pybind11/2.11.1-GCCcore-13.2.0&lt;br /&gt;
   pybind11/2.12.0-GCC-13.3.0                         &lt;br /&gt;
   pydantic/1.10.4-GCCcore-11.3.0&lt;br /&gt;
   pydantic/2.5.3-GCCcore-12.3.0&lt;br /&gt;
   pydantic/2.6.4-GCCcore-13.2.0&lt;br /&gt;
   pydantic/2.9.1-GCCcore-13.3.0                      &lt;br /&gt;
   pydicom/2.3.0-GCCcore-11.3.0&lt;br /&gt;
   pydicom/2.4.4-GCCcore-12.3.0&lt;br /&gt;
   pydicom/3.0.1-GCCcore-13.2.0                       &lt;br /&gt;
   pydot/2.0.0-GCCcore-12.3.0&lt;br /&gt;
   pydot/3.0.3-GCCcore-13.3.0                         &lt;br /&gt;
   pyfaidx/0.8.1.1-GCCcore-12.3.0&lt;br /&gt;
   pyfaidx/0.8.1.2-GCCcore-13.3.0                     &lt;br /&gt;
   pyproj/3.4.0-GCCcore-11.3.0&lt;br /&gt;
   pyproj/3.6.0-GCCcore-12.3.0&lt;br /&gt;
   pyproj/3.7.0-GCCcore-13.3.0                        &lt;br /&gt;
   pyspoa/0.2.1-GCC-12.3.0&lt;br /&gt;
   pyspoa/0.2.1-GCC-13.2.0                            &lt;br /&gt;
   pytest-flakefinder/1.1.0-GCCcore-12.3.0&lt;br /&gt;
   pytest-flakefinder/1.1.0-GCCcore-13.2.0            &lt;br /&gt;
   pytest-rerunfailures/12.0-GCCcore-12.3.0&lt;br /&gt;
   pytest-rerunfailures/14.0-GCCcore-13.2.0           &lt;br /&gt;
   pytest-shard/0.1.2-GCCcore-12.3.0&lt;br /&gt;
   pytest-shard/0.1.2-GCCcore-13.2.0                  &lt;br /&gt;
   pytest-xdist/3.3.1-GCCcore-12.3.0&lt;br /&gt;
   pytest/4.6.11-GCCcore-12.3.0-Python-2.7.18&lt;br /&gt;
   pytest/7.4.2-GCCcore-12.3.0&lt;br /&gt;
   pytest/7.4.2-GCCcore-13.2.0&lt;br /&gt;
   pytest/8.3.3-GCCcore-13.3.0                        &lt;br /&gt;
   python-isal/1.1.0-GCCcore-12.3.0&lt;br /&gt;
   python-isal/1.7.0-GCCcore-13.3.0                   &lt;br /&gt;
   python-parasail/1.3.4-foss-2023a&lt;br /&gt;
   python-xxhash/3.4.1-GCCcore-12.3.0&lt;br /&gt;
   rasterio/1.4.3-foss-2024a&lt;br /&gt;
   re2c/2.2-GCCcore-11.3.0&lt;br /&gt;
   re2c/3.1-GCCcore-12.3.0&lt;br /&gt;
   re2c/3.1-GCCcore-13.2.0&lt;br /&gt;
   re2c/3.1-GCCcore-13.3.0                            &lt;br /&gt;
   redis-py/4.5.1-foss-2022a&lt;br /&gt;
   redis-py/5.0.1-GCCcore-12.3.0&lt;br /&gt;
   redis-py/5.0.9-GCCcore-13.2.0&lt;br /&gt;
   redis-py/5.1.1-GCCcore-13.3.0                      &lt;br /&gt;
   rjags/4-15-foss-2023a-R-4.3.2&lt;br /&gt;
   ruamel.yaml/0.17.32-GCCcore-12.3.0&lt;br /&gt;
   ruamel.yaml/0.18.6-GCCcore-13.2.0&lt;br /&gt;
   ruamel.yaml/0.18.6-GCCcore-13.3.0                  &lt;br /&gt;
   samclip/0.4.0-GCCcore-13.3.0&lt;br /&gt;
   scanpy/1.9.8-foss-2023a&lt;br /&gt;
   schrodinger/2025-1&lt;br /&gt;
   scikit-build-core/0.5.0-GCCcore-12.3.0&lt;br /&gt;
   scikit-build-core/0.9.3-GCCcore-12.3.0&lt;br /&gt;
   scikit-build-core/0.9.3-GCCcore-13.2.0&lt;br /&gt;
   scikit-build-core/0.10.6-GCCcore-13.3.0            &lt;br /&gt;
   scikit-build/0.17.6-GCCcore-12.3.0&lt;br /&gt;
   scikit-build/0.17.6-GCCcore-13.2.0&lt;br /&gt;
   scikit-build/0.17.6-GCCcore-13.3.0                 &lt;br /&gt;
   scikit-image/0.19.3-foss-2022a&lt;br /&gt;
   scikit-image/0.22.0-foss-2023a&lt;br /&gt;
   scikit-image/0.25.0-foss-2024a                     &lt;br /&gt;
   scikit-learn/1.1.2-foss-2022a&lt;br /&gt;
   scikit-learn/1.3.1-gfbf-2023a&lt;br /&gt;
   scikit-learn/1.3.2-gfbf-2023b&lt;br /&gt;
   scikit-learn/1.4.0-gfbf-2023b&lt;br /&gt;
   scikit-learn/1.4.2-gfbf-2023a&lt;br /&gt;
   scikit-learn/1.5.2-gfbf-2024a                      &lt;br /&gt;
   scikit-optimize/0.10.2-foss-2023a&lt;br /&gt;
   seqtk/1.4-GCC-13.3.0&lt;br /&gt;
   setuptools-rust/1.6.0-GCCcore-12.3.0&lt;br /&gt;
   setuptools-rust/1.8.0-GCCcore-13.2.0&lt;br /&gt;
   setuptools-rust/1.9.0-GCCcore-13.3.0               &lt;br /&gt;
   smithwaterman/20160702-GCCcore-12.3.0&lt;br /&gt;
   smithwaterman/20160702-GCCcore-13.3.0              &lt;br /&gt;
   snakemake/8.27.0-foss-2024a&lt;br /&gt;
   snappy/1.1.9-GCCcore-11.3.0&lt;br /&gt;
   snappy/1.1.10-GCCcore-12.3.0&lt;br /&gt;
   snappy/1.1.10-GCCcore-13.2.0&lt;br /&gt;
   snappy/1.2.1-GCCcore-13.3.0                        &lt;br /&gt;
   snpEff/5.2c-GCCcore-12.3.0-Java-11&lt;br /&gt;
   spaln/2.4.13f-GCC-12.3.0&lt;br /&gt;
   spaln/3.0.6b-GCC-12.3.0                            &lt;br /&gt;
   sparsehash/2.0.4-GCCcore-12.3.0&lt;br /&gt;
   spglib-python/2.0.0-foss-2022a&lt;br /&gt;
   spglib-python/2.5.0-gfbf-2024a                     &lt;br /&gt;
   spglib/2.5.0-GCCcore-12.3.0&lt;br /&gt;
   spoa/4.1.0-GCC-12.3.0&lt;br /&gt;
   spoa/4.1.0-GCC-13.2.0                              &lt;br /&gt;
   statsmodels/0.14.1-gfbf-2023a&lt;br /&gt;
   statsmodels/0.14.4-gfbf-2024a                      &lt;br /&gt;
   swalign/0.2-GCCcore-13.3.0-Python-2.7.18&lt;br /&gt;
   sympy/1.12-gfbf-2023a&lt;br /&gt;
   sympy/1.12-gfbf-2023b&lt;br /&gt;
   sympy/1.13.3-gfbf-2024a                            &lt;br /&gt;
   tRNAscan-SE/2.0.12-foss-2023a&lt;br /&gt;
   tabix/0.2.6-GCCcore-12.3.0&lt;br /&gt;
   tabix/0.2.6-GCCcore-13.3.0                         &lt;br /&gt;
   tabixpp/1.1.2-GCC-12.3.0&lt;br /&gt;
   tabixpp/1.1.2-GCC-13.3.0                           &lt;br /&gt;
   tantan/50-GCC-12.3.0&lt;br /&gt;
   tbb/2021.5.0-GCCcore-11.3.0&lt;br /&gt;
   tbb/2021.11.0-GCCcore-12.3.0&lt;br /&gt;
   tbb/2021.13.0-GCCcore-13.2.0                       &lt;br /&gt;
   tbl2asn/20230713-GCCcore-12.3.0&lt;br /&gt;
   tcsh/6.24.01-GCCcore-11.3.0&lt;br /&gt;
   tcsh/6.24.10-GCCcore-12.3.0&lt;br /&gt;
   tcsh/6.24.13-GCCcore-13.3.0                        &lt;br /&gt;
   tensorboard/2.15.1-gfbf-2023a&lt;br /&gt;
   tensorboard/2.18.0-gfbf-2023b                      &lt;br /&gt;
   tensorboardX/2.6.2.2-foss-2023a&lt;br /&gt;
   tensorstore/0.1.65-foss-2023a&lt;br /&gt;
   tesseract/5.5.0-GCCcore-13.3.0&lt;br /&gt;
   texlive/20230313-GCC-12.3.0&lt;br /&gt;
   tiktoken/0.9.0-GCCcore-13.3.0&lt;br /&gt;
   time/1.9-GCCcore-11.3.0&lt;br /&gt;
   time/1.9-GCCcore-13.3.0                            &lt;br /&gt;
   tmux/3.4-GCCcore-13.3.0&lt;br /&gt;
   tokenizers/0.15.2-GCCcore-12.3.0&lt;br /&gt;
   tokenizers/0.19.1-GCCcore-13.2.0                   &lt;br /&gt;
   torchvision/0.16.0-foss-2023a-CUDA-12.1.1&lt;br /&gt;
   tornado/6.3.2-GCCcore-12.3.0&lt;br /&gt;
   tornado/6.4-GCCcore-13.2.0&lt;br /&gt;
   tornado/6.4.1-GCCcore-13.3.0                       &lt;br /&gt;
   tqdm/4.64.0-GCCcore-11.3.0&lt;br /&gt;
   tqdm/4.66.1-GCCcore-12.3.0&lt;br /&gt;
   tqdm/4.66.2-GCCcore-13.2.0&lt;br /&gt;
   tqdm/4.66.5-GCCcore-13.3.0                         &lt;br /&gt;
   trimAl/1.4.1-GCCcore-12.3.0&lt;br /&gt;
   trimAl/1.5.0-GCCcore-13.3.0                        &lt;br /&gt;
   typing-extensions/4.3.0-GCCcore-11.3.0&lt;br /&gt;
   typing-extensions/4.9.0-GCCcore-12.3.0&lt;br /&gt;
   typing-extensions/4.10.0-GCCcore-13.2.0&lt;br /&gt;
   typing-extensions/4.11.0-GCCcore-13.3.0            &lt;br /&gt;
   ucsc/443&lt;br /&gt;
   umap-learn/0.5.5-foss-2023a&lt;br /&gt;
   unifdef/2.12-GCCcore-12.3.0&lt;br /&gt;
   unimap/0.1-GCCcore-11.3.0&lt;br /&gt;
   utf8proc/2.8.0-GCCcore-12.3.0&lt;br /&gt;
   utf8proc/2.9.0-GCCcore-13.2.0&lt;br /&gt;
   utf8proc/2.9.0-GCCcore-13.3.0                      &lt;br /&gt;
   util-linux/2.38-GCCcore-11.3.0&lt;br /&gt;
   util-linux/2.39-GCCcore-12.3.0&lt;br /&gt;
   util-linux/2.39-GCCcore-13.2.0&lt;br /&gt;
   util-linux/2.40-GCCcore-13.3.0                     &lt;br /&gt;
   vcflib/1.0.9-gfbf-2023a-R-4.3.2&lt;br /&gt;
   vcflib/1.0.9-gfbf-2024a-R-4.4.2                    &lt;br /&gt;
   versioningit/3.1.2-GCCcore-13.3.0&lt;br /&gt;
   vg/1.65.0&lt;br /&gt;
   virtualenv/20.23.1-GCCcore-12.3.0&lt;br /&gt;
   virtualenv/20.24.6-GCCcore-13.2.0&lt;br /&gt;
   virtualenv/20.26.2-GCCcore-13.3.0                  &lt;br /&gt;
   wandb/0.16.1-GCC-12.3.0&lt;br /&gt;
   wget/1.21.3-GCCcore-11.3.0&lt;br /&gt;
   wget/1.24.5-GCCcore-12.3.0                         &lt;br /&gt;
   wpebackend-fdo/1.15.90-GCCcore-12.3.0&lt;br /&gt;
   wrapt/1.16.0-gfbf-2024a&lt;br /&gt;
   wxPython/4.2.1-foss-2023a&lt;br /&gt;
   wxWidgets/3.2.2.1-GCC-12.3.0&lt;br /&gt;
   x264/20220620-GCCcore-11.3.0&lt;br /&gt;
   x264/20230226-GCCcore-12.3.0&lt;br /&gt;
   x264/20231019-GCCcore-13.2.0&lt;br /&gt;
   x264/20240513-GCCcore-13.3.0                       &lt;br /&gt;
   x265/3.5-GCCcore-11.3.0&lt;br /&gt;
   x265/3.5-GCCcore-12.3.0&lt;br /&gt;
   x265/3.5-GCCcore-13.2.0&lt;br /&gt;
   x265/3.6-GCCcore-13.3.0                            &lt;br /&gt;
   xarray/2024.11.0-gfbf-2024a&lt;br /&gt;
   xorg-macros/1.19.3-GCCcore-11.3.0&lt;br /&gt;
   xorg-macros/1.20.0-GCCcore-12.3.0&lt;br /&gt;
   xorg-macros/1.20.0-GCCcore-13.2.0&lt;br /&gt;
   xorg-macros/1.20.1-GCCcore-13.3.0                  &lt;br /&gt;
   xprop/1.2.8-GCCcore-13.3.0&lt;br /&gt;
   xproto/7.0.31-GCCcore-11.3.0&lt;br /&gt;
   xproto/7.0.31-GCCcore-13.3.0                       &lt;br /&gt;
   xxHash/0.8.2-GCCcore-12.3.0&lt;br /&gt;
   xxd/9.0.2112-GCCcore-12.3.0&lt;br /&gt;
   xxd/9.1.0307-GCCcore-13.2.0&lt;br /&gt;
   xxd/9.1.1275-GCCcore-13.3.0                        &lt;br /&gt;
   zarr/2.18.4-foss-2024a&lt;br /&gt;
   zlib/1.2.11&lt;br /&gt;
   zlib/1.2.12-GCCcore-11.3.0&lt;br /&gt;
   zlib/1.2.12&lt;br /&gt;
   zlib/1.2.13-GCCcore-12.3.0&lt;br /&gt;
   zlib/1.2.13-GCCcore-13.2.0&lt;br /&gt;
   zlib/1.2.13&lt;br /&gt;
   zlib/1.3.1-GCCcore-13.3.0&lt;br /&gt;
   zlib/1.3.1                                         &lt;br /&gt;
   zstd/1.5.2-GCCcore-11.3.0&lt;br /&gt;
   zstd/1.5.5-GCCcore-12.3.0&lt;br /&gt;
   zstd/1.5.5-GCCcore-13.2.0&lt;br /&gt;
   zstd/1.5.6-GCCcore-13.3.0&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Software_installed_on_Rocky_9&amp;diff=22469</id>
		<title>Software installed on Rocky 9</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Software_installed_on_Rocky_9&amp;diff=22469"/>
		<updated>2025-07-08T18:32:53Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* List of software already installed centrally on the Rocky 9 system (new Sapelo2, available after the maintenance) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
As part of our July 29-31,2025 maintenance window, the GACRC will be upgrading the Sapelo2 cluster operating system from Rocky 8 to Rocky 9. &lt;br /&gt;
&lt;br /&gt;
Because this is a major OS update, we need to recompile all the applications and ensure that they work with the new version of OS.&lt;br /&gt;
&lt;br /&gt;
Below is a list of the modules already installed on the Rocky 9 system. More software packages continue to be installed. If the software you need is not in this list yet, please feel free to let us know, if you would like us to install it centrally on the updated cluster.&lt;br /&gt;
&lt;br /&gt;
All singularity containers available in /apps/singularity-images on the current Sapelo2 (Rocky 8) will continue to be available after the maintenance.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===List of software already installed centrally on the Rocky 9 system (new Sapelo2, available after the maintenance)===&lt;br /&gt;
&lt;br /&gt;
   ABySS/2.3.7-foss-2023a&lt;br /&gt;
   ADMIXTURE/1.3.0&lt;br /&gt;
   AFNI/25.1.01-foss-2024a&lt;br /&gt;
   AGAT/1.4.0-GCC-12.3.0&lt;br /&gt;
   AMOS/3.1.0-foss-2023a&lt;br /&gt;
   ANIcalculator/1.0-GCCcore-11.3.0&lt;br /&gt;
   ANSYS/2025R1&lt;br /&gt;
   ANTLR/2.7.7-GCCcore-12.3.0-Java-11&lt;br /&gt;
   ANTLR/2.7.7-GCCcore-13.3.0-Java-17                 &lt;br /&gt;
   APR-util/1.6.3-GCCcore-13.3.0&lt;br /&gt;
   APR/1.7.4-GCCcore-13.3.0&lt;br /&gt;
   ASE/3.22.1-foss-2022a&lt;br /&gt;
   ASE/3.23.0-gfbf-2024a                              &lt;br /&gt;
   ASTRAL/5.7.8-Java-1.8.0_241&lt;br /&gt;
   ATK/2.38.0-GCCcore-11.3.0&lt;br /&gt;
   ATK/2.38.0-GCCcore-12.3.0&lt;br /&gt;
   ATK/2.38.0-GCCcore-13.2.0                          &lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2022a&lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2023a&lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2024a&lt;br /&gt;
   AUGUSTUS/3.5.0-20240612-foss-2023a                 &lt;br /&gt;
   Abseil/20230125.3-GCCcore-12.3.0&lt;br /&gt;
   Abseil/20240116.1-GCCcore-13.2.0&lt;br /&gt;
   Abseil/20240722.0-GCCcore-13.3.0                   &lt;br /&gt;
   Albumentations/1.3.0-foss-2022a&lt;br /&gt;
   Albumentations/1.4.0-foss-2023a                    &lt;br /&gt;
   AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
   AlphaPulldown/2.0.3-foss-2023a-CUDA-12.1.1&lt;br /&gt;
   Amber/22.4-foss-2022a-AmberTools-22.5-CUDA-11.7.0&lt;br /&gt;
   Amber/24.3-foss-2022a-AmberTools-24.10-CUDA-12.1.1 &lt;br /&gt;
   Ancestry_HMM/1.0.2-foss-2024a&lt;br /&gt;
   Archive-Zip/1.68-GCCcore-12.3.0&lt;br /&gt;
   Archive-Zip/1.68-GCCcore-13.3.0                    &lt;br /&gt;
   Armadillo/11.4.3-foss-2022a&lt;br /&gt;
   Armadillo/12.6.2-foss-2023a&lt;br /&gt;
   Armadillo/12.8.0-foss-2023b&lt;br /&gt;
   Armadillo/14.0.3-foss-2024a                        &lt;br /&gt;
   Arrow/14.0.1-gfbf-2023a&lt;br /&gt;
   Arrow/16.1.0-gfbf-2023b&lt;br /&gt;
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   pydot/2.0.0-GCCcore-12.3.0&lt;br /&gt;
   pydot/3.0.3-GCCcore-13.3.0                         &lt;br /&gt;
   pyfaidx/0.8.1.1-GCCcore-12.3.0&lt;br /&gt;
   pyfaidx/0.8.1.2-GCCcore-13.3.0                     &lt;br /&gt;
   pyproj/3.4.0-GCCcore-11.3.0&lt;br /&gt;
   pyproj/3.6.0-GCCcore-12.3.0&lt;br /&gt;
   pyproj/3.7.0-GCCcore-13.3.0                        &lt;br /&gt;
   pyspoa/0.2.1-GCC-12.3.0&lt;br /&gt;
   pyspoa/0.2.1-GCC-13.2.0                            &lt;br /&gt;
   pytest-flakefinder/1.1.0-GCCcore-12.3.0&lt;br /&gt;
   pytest-flakefinder/1.1.0-GCCcore-13.2.0            &lt;br /&gt;
   pytest-rerunfailures/12.0-GCCcore-12.3.0&lt;br /&gt;
   pytest-rerunfailures/14.0-GCCcore-13.2.0           &lt;br /&gt;
   pytest-shard/0.1.2-GCCcore-12.3.0&lt;br /&gt;
   pytest-shard/0.1.2-GCCcore-13.2.0                  &lt;br /&gt;
   pytest-xdist/3.3.1-GCCcore-12.3.0&lt;br /&gt;
   pytest/4.6.11-GCCcore-12.3.0-Python-2.7.18&lt;br /&gt;
   pytest/7.4.2-GCCcore-12.3.0&lt;br /&gt;
   pytest/7.4.2-GCCcore-13.2.0&lt;br /&gt;
   pytest/8.3.3-GCCcore-13.3.0                        &lt;br /&gt;
   python-isal/1.1.0-GCCcore-12.3.0&lt;br /&gt;
   python-isal/1.7.0-GCCcore-13.3.0                   &lt;br /&gt;
   python-parasail/1.3.4-foss-2023a&lt;br /&gt;
   python-xxhash/3.4.1-GCCcore-12.3.0&lt;br /&gt;
   rasterio/1.4.3-foss-2024a&lt;br /&gt;
   re2c/2.2-GCCcore-11.3.0&lt;br /&gt;
   re2c/3.1-GCCcore-12.3.0&lt;br /&gt;
   re2c/3.1-GCCcore-13.2.0&lt;br /&gt;
   re2c/3.1-GCCcore-13.3.0                            &lt;br /&gt;
   redis-py/4.5.1-foss-2022a&lt;br /&gt;
   redis-py/5.0.1-GCCcore-12.3.0&lt;br /&gt;
   redis-py/5.0.9-GCCcore-13.2.0&lt;br /&gt;
   redis-py/5.1.1-GCCcore-13.3.0                      &lt;br /&gt;
   rjags/4-15-foss-2023a-R-4.3.2&lt;br /&gt;
   ruamel.yaml/0.17.32-GCCcore-12.3.0&lt;br /&gt;
   ruamel.yaml/0.18.6-GCCcore-13.2.0&lt;br /&gt;
   ruamel.yaml/0.18.6-GCCcore-13.3.0                  &lt;br /&gt;
   samclip/0.4.0-GCCcore-13.3.0&lt;br /&gt;
   scanpy/1.9.8-foss-2023a&lt;br /&gt;
   schrodinger/2025-1&lt;br /&gt;
   scikit-build-core/0.5.0-GCCcore-12.3.0&lt;br /&gt;
   scikit-build-core/0.9.3-GCCcore-12.3.0&lt;br /&gt;
   scikit-build-core/0.9.3-GCCcore-13.2.0&lt;br /&gt;
   scikit-build-core/0.10.6-GCCcore-13.3.0            &lt;br /&gt;
   scikit-build/0.17.6-GCCcore-12.3.0&lt;br /&gt;
   scikit-build/0.17.6-GCCcore-13.2.0&lt;br /&gt;
   scikit-build/0.17.6-GCCcore-13.3.0                 &lt;br /&gt;
   scikit-image/0.19.3-foss-2022a&lt;br /&gt;
   scikit-image/0.22.0-foss-2023a&lt;br /&gt;
   scikit-image/0.25.0-foss-2024a                     &lt;br /&gt;
   scikit-learn/1.1.2-foss-2022a&lt;br /&gt;
   scikit-learn/1.3.1-gfbf-2023a&lt;br /&gt;
   scikit-learn/1.3.2-gfbf-2023b&lt;br /&gt;
   scikit-learn/1.4.0-gfbf-2023b&lt;br /&gt;
   scikit-learn/1.4.2-gfbf-2023a&lt;br /&gt;
   scikit-learn/1.5.2-gfbf-2024a                      &lt;br /&gt;
   scikit-optimize/0.10.2-foss-2023a&lt;br /&gt;
   seqtk/1.4-GCC-13.3.0&lt;br /&gt;
   setuptools-rust/1.6.0-GCCcore-12.3.0&lt;br /&gt;
   setuptools-rust/1.8.0-GCCcore-13.2.0&lt;br /&gt;
   setuptools-rust/1.9.0-GCCcore-13.3.0               &lt;br /&gt;
   smithwaterman/20160702-GCCcore-12.3.0&lt;br /&gt;
   smithwaterman/20160702-GCCcore-13.3.0              &lt;br /&gt;
   snakemake/8.27.0-foss-2024a&lt;br /&gt;
   snappy/1.1.9-GCCcore-11.3.0&lt;br /&gt;
   snappy/1.1.10-GCCcore-12.3.0&lt;br /&gt;
   snappy/1.1.10-GCCcore-13.2.0&lt;br /&gt;
   snappy/1.2.1-GCCcore-13.3.0                        &lt;br /&gt;
   snpEff/5.2c-GCCcore-12.3.0-Java-11&lt;br /&gt;
   spaln/2.4.13f-GCC-12.3.0&lt;br /&gt;
   spaln/3.0.6b-GCC-12.3.0                            &lt;br /&gt;
   sparsehash/2.0.4-GCCcore-12.3.0&lt;br /&gt;
   spglib-python/2.0.0-foss-2022a&lt;br /&gt;
   spglib-python/2.5.0-gfbf-2024a                     &lt;br /&gt;
   spglib/2.5.0-GCCcore-12.3.0&lt;br /&gt;
   spoa/4.1.0-GCC-12.3.0&lt;br /&gt;
   spoa/4.1.0-GCC-13.2.0                              &lt;br /&gt;
   statsmodels/0.14.1-gfbf-2023a&lt;br /&gt;
   statsmodels/0.14.4-gfbf-2024a                      &lt;br /&gt;
   swalign/0.2-GCCcore-13.3.0-Python-2.7.18&lt;br /&gt;
   sympy/1.12-gfbf-2023a&lt;br /&gt;
   sympy/1.12-gfbf-2023b&lt;br /&gt;
   sympy/1.13.3-gfbf-2024a                            &lt;br /&gt;
   tRNAscan-SE/2.0.12-foss-2023a&lt;br /&gt;
   tabix/0.2.6-GCCcore-12.3.0&lt;br /&gt;
   tabix/0.2.6-GCCcore-13.3.0                         &lt;br /&gt;
   tabixpp/1.1.2-GCC-12.3.0&lt;br /&gt;
   tabixpp/1.1.2-GCC-13.3.0                           &lt;br /&gt;
   tantan/50-GCC-12.3.0&lt;br /&gt;
   tbb/2021.5.0-GCCcore-11.3.0&lt;br /&gt;
   tbb/2021.11.0-GCCcore-12.3.0&lt;br /&gt;
   tbb/2021.13.0-GCCcore-13.2.0                       &lt;br /&gt;
   tbl2asn/20230713-GCCcore-12.3.0&lt;br /&gt;
   tcsh/6.24.01-GCCcore-11.3.0&lt;br /&gt;
   tcsh/6.24.10-GCCcore-12.3.0&lt;br /&gt;
   tcsh/6.24.13-GCCcore-13.3.0                        &lt;br /&gt;
   tensorboard/2.15.1-gfbf-2023a&lt;br /&gt;
   tensorboard/2.18.0-gfbf-2023b                      &lt;br /&gt;
   tensorboardX/2.6.2.2-foss-2023a&lt;br /&gt;
   tensorstore/0.1.65-foss-2023a&lt;br /&gt;
   tesseract/5.5.0-GCCcore-13.3.0&lt;br /&gt;
   texlive/20230313-GCC-12.3.0&lt;br /&gt;
   tiktoken/0.9.0-GCCcore-13.3.0&lt;br /&gt;
   time/1.9-GCCcore-11.3.0&lt;br /&gt;
   time/1.9-GCCcore-13.3.0                            &lt;br /&gt;
   tmux/3.4-GCCcore-13.3.0&lt;br /&gt;
   tokenizers/0.15.2-GCCcore-12.3.0&lt;br /&gt;
   tokenizers/0.19.1-GCCcore-13.2.0                   &lt;br /&gt;
   torchvision/0.16.0-foss-2023a-CUDA-12.1.1&lt;br /&gt;
   tornado/6.3.2-GCCcore-12.3.0&lt;br /&gt;
   tornado/6.4-GCCcore-13.2.0&lt;br /&gt;
   tornado/6.4.1-GCCcore-13.3.0                       &lt;br /&gt;
   tqdm/4.64.0-GCCcore-11.3.0&lt;br /&gt;
   tqdm/4.66.1-GCCcore-12.3.0&lt;br /&gt;
   tqdm/4.66.2-GCCcore-13.2.0&lt;br /&gt;
   tqdm/4.66.5-GCCcore-13.3.0                         &lt;br /&gt;
   trimAl/1.4.1-GCCcore-12.3.0&lt;br /&gt;
   trimAl/1.5.0-GCCcore-13.3.0                        &lt;br /&gt;
   typing-extensions/4.3.0-GCCcore-11.3.0&lt;br /&gt;
   typing-extensions/4.9.0-GCCcore-12.3.0&lt;br /&gt;
   typing-extensions/4.10.0-GCCcore-13.2.0&lt;br /&gt;
   typing-extensions/4.11.0-GCCcore-13.3.0            &lt;br /&gt;
   ucsc/443&lt;br /&gt;
   umap-learn/0.5.5-foss-2023a&lt;br /&gt;
   unifdef/2.12-GCCcore-12.3.0&lt;br /&gt;
   unimap/0.1-GCCcore-11.3.0&lt;br /&gt;
   utf8proc/2.8.0-GCCcore-12.3.0&lt;br /&gt;
   utf8proc/2.9.0-GCCcore-13.2.0&lt;br /&gt;
   utf8proc/2.9.0-GCCcore-13.3.0                      &lt;br /&gt;
   util-linux/2.38-GCCcore-11.3.0&lt;br /&gt;
   util-linux/2.39-GCCcore-12.3.0&lt;br /&gt;
   util-linux/2.39-GCCcore-13.2.0&lt;br /&gt;
   util-linux/2.40-GCCcore-13.3.0                     &lt;br /&gt;
   vcflib/1.0.9-gfbf-2023a-R-4.3.2&lt;br /&gt;
   vcflib/1.0.9-gfbf-2024a-R-4.4.2                    &lt;br /&gt;
   versioningit/3.1.2-GCCcore-13.3.0&lt;br /&gt;
   vg/1.65.0&lt;br /&gt;
   virtualenv/20.23.1-GCCcore-12.3.0&lt;br /&gt;
   virtualenv/20.24.6-GCCcore-13.2.0&lt;br /&gt;
   virtualenv/20.26.2-GCCcore-13.3.0                  &lt;br /&gt;
   wandb/0.16.1-GCC-12.3.0&lt;br /&gt;
   wget/1.21.3-GCCcore-11.3.0&lt;br /&gt;
   wget/1.24.5-GCCcore-12.3.0                         &lt;br /&gt;
   wpebackend-fdo/1.15.90-GCCcore-12.3.0&lt;br /&gt;
   wrapt/1.16.0-gfbf-2024a&lt;br /&gt;
   wxPython/4.2.1-foss-2023a&lt;br /&gt;
   wxWidgets/3.2.2.1-GCC-12.3.0&lt;br /&gt;
   x264/20220620-GCCcore-11.3.0&lt;br /&gt;
   x264/20230226-GCCcore-12.3.0&lt;br /&gt;
   x264/20231019-GCCcore-13.2.0&lt;br /&gt;
   x264/20240513-GCCcore-13.3.0                       &lt;br /&gt;
   x265/3.5-GCCcore-11.3.0&lt;br /&gt;
   x265/3.5-GCCcore-12.3.0&lt;br /&gt;
   x265/3.5-GCCcore-13.2.0&lt;br /&gt;
   x265/3.6-GCCcore-13.3.0                            &lt;br /&gt;
   xarray/2024.11.0-gfbf-2024a&lt;br /&gt;
   xorg-macros/1.19.3-GCCcore-11.3.0&lt;br /&gt;
   xorg-macros/1.20.0-GCCcore-12.3.0&lt;br /&gt;
   xorg-macros/1.20.0-GCCcore-13.2.0&lt;br /&gt;
   xorg-macros/1.20.1-GCCcore-13.3.0                  &lt;br /&gt;
   xprop/1.2.8-GCCcore-13.3.0&lt;br /&gt;
   xproto/7.0.31-GCCcore-11.3.0&lt;br /&gt;
   xproto/7.0.31-GCCcore-13.3.0                       &lt;br /&gt;
   xxHash/0.8.2-GCCcore-12.3.0&lt;br /&gt;
   xxd/9.0.2112-GCCcore-12.3.0&lt;br /&gt;
   xxd/9.1.0307-GCCcore-13.2.0&lt;br /&gt;
   xxd/9.1.1275-GCCcore-13.3.0                        &lt;br /&gt;
   zarr/2.18.4-foss-2024a&lt;br /&gt;
   zlib/1.2.11&lt;br /&gt;
   zlib/1.2.12-GCCcore-11.3.0&lt;br /&gt;
   zlib/1.2.12&lt;br /&gt;
   zlib/1.2.13-GCCcore-12.3.0&lt;br /&gt;
   zlib/1.2.13-GCCcore-13.2.0&lt;br /&gt;
   zlib/1.2.13&lt;br /&gt;
   zlib/1.3.1-GCCcore-13.3.0&lt;br /&gt;
   zlib/1.3.1                                         &lt;br /&gt;
   zstd/1.5.2-GCCcore-11.3.0&lt;br /&gt;
   zstd/1.5.5-GCCcore-12.3.0&lt;br /&gt;
   zstd/1.5.5-GCCcore-13.2.0&lt;br /&gt;
   zstd/1.5.6-GCCcore-13.3.0&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Software_installed_on_Rocky_9&amp;diff=22454</id>
		<title>Software installed on Rocky 9</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Software_installed_on_Rocky_9&amp;diff=22454"/>
		<updated>2025-07-03T18:57:14Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* List of software already installed centrally on the Rocky 9 system (new Sapelo2, available after the maintenance) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
As part of our July 29-31,2025 maintenance window, the GACRC will be upgrading the Sapelo2 cluster operating system from Rocky 8 to Rocky 9. &lt;br /&gt;
&lt;br /&gt;
Because this is a major OS update, we need to recompile all the applications and ensure that they work with the new version of OS.&lt;br /&gt;
&lt;br /&gt;
Below is a list of the modules already installed on the Rocky 9 system. More software packages continue to be installed. If the software you need is not in this list yet, please feel free to let us know, if you would like us to install it centrally on the updated cluster.&lt;br /&gt;
&lt;br /&gt;
All singularity containers available in /apps/singularity-images on the current Sapelo2 (Rocky 8) will continue to be available after the maintenance.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===List of software already installed centrally on the Rocky 9 system (new Sapelo2, available after the maintenance)===&lt;br /&gt;
&lt;br /&gt;
   ABySS/2.3.7-foss-2023a&lt;br /&gt;
   ADMIXTURE/1.3.0&lt;br /&gt;
   AFNI/25.1.01-foss-2024a&lt;br /&gt;
   AGAT/1.4.0-GCC-12.3.0&lt;br /&gt;
   AMOS/3.1.0-foss-2023a&lt;br /&gt;
   ANIcalculator/1.0-GCCcore-11.3.0&lt;br /&gt;
   ANSYS/2025R1&lt;br /&gt;
   ANTLR/2.7.7-GCCcore-12.3.0-Java-11&lt;br /&gt;
   ANTLR/2.7.7-GCCcore-13.3.0-Java-17                 &lt;br /&gt;
   APR-util/1.6.3-GCCcore-13.3.0&lt;br /&gt;
   APR/1.7.4-GCCcore-13.3.0&lt;br /&gt;
   ASE/3.22.1-foss-2022a&lt;br /&gt;
   ASE/3.23.0-gfbf-2024a                              &lt;br /&gt;
   ASTRAL/5.7.8-Java-1.8.0_241&lt;br /&gt;
   ATK/2.38.0-GCCcore-11.3.0&lt;br /&gt;
   ATK/2.38.0-GCCcore-12.3.0&lt;br /&gt;
   ATK/2.38.0-GCCcore-13.2.0                          &lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2022a&lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2023a&lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2024a&lt;br /&gt;
   AUGUSTUS/3.5.0-20240612-foss-2023a                 &lt;br /&gt;
   Abseil/20230125.3-GCCcore-12.3.0&lt;br /&gt;
   Abseil/20240116.1-GCCcore-13.2.0&lt;br /&gt;
   Abseil/20240722.0-GCCcore-13.3.0                   &lt;br /&gt;
   Albumentations/1.3.0-foss-2022a&lt;br /&gt;
   Albumentations/1.4.0-foss-2023a                    &lt;br /&gt;
   AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
   AlphaPulldown/2.0.3-foss-2023a-CUDA-12.1.1&lt;br /&gt;
   Amber/22.4-foss-2022a-AmberTools-22.5-CUDA-11.7.0&lt;br /&gt;
   Amber/24.3-foss-2022a-AmberTools-24.10-CUDA-12.1.1 &lt;br /&gt;
   Ancestry_HMM/1.0.2-foss-2024a&lt;br /&gt;
   Archive-Zip/1.68-GCCcore-12.3.0&lt;br /&gt;
   Archive-Zip/1.68-GCCcore-13.3.0                    &lt;br /&gt;
   Armadillo/11.4.3-foss-2022a&lt;br /&gt;
   Armadillo/12.6.2-foss-2023a&lt;br /&gt;
   Armadillo/12.8.0-foss-2023b&lt;br /&gt;
   Armadillo/14.0.3-foss-2024a                        &lt;br /&gt;
   Arrow/14.0.1-gfbf-2023a&lt;br /&gt;
   Arrow/16.1.0-gfbf-2023b&lt;br /&gt;
   Arrow/17.0.0-gfbf-2024a                            &lt;br /&gt;
   Autoconf/2.71-GCCcore-11.3.0&lt;br /&gt;
   Autoconf/2.71-GCCcore-12.3.0&lt;br /&gt;
   Autoconf/2.71-GCCcore-13.2.0&lt;br /&gt;
   Autoconf/2.71&lt;br /&gt;
   Autoconf/2.72-GCCcore-13.3.0                       &lt;br /&gt;
   Automake/1.16.5-GCCcore-11.3.0&lt;br /&gt;
   Automake/1.16.5-GCCcore-12.3.0&lt;br /&gt;
   Automake/1.16.5-GCCcore-13.2.0&lt;br /&gt;
   Automake/1.16.5-GCCcore-13.3.0&lt;br /&gt;
   Automake/1.16.5                                    &lt;br /&gt;
   Autotools/20220317-GCCcore-11.3.0&lt;br /&gt;
   Autotools/20220317-GCCcore-12.3.0&lt;br /&gt;
   Autotools/20220317-GCCcore-13.2.0&lt;br /&gt;
   Autotools/20220317&lt;br /&gt;
   Autotools/20231222-GCCcore-13.3.0                  &lt;br /&gt;
   BBMap/39.01-GCC-11.3.0&lt;br /&gt;
   BBMap/39.01-GCC-12.3.0&lt;br /&gt;
   BBMap/39.19-GCC-13.3.0                             &lt;br /&gt;
   BCFtools/1.15.1-GCC-11.3.0&lt;br /&gt;
   BCFtools/1.18-GCC-12.3.0&lt;br /&gt;
   BCFtools/1.21-GCC-13.3.0                           &lt;br /&gt;
   BEDOPS/2.4.41-foss-2023a&lt;br /&gt;
   BEDTools/2.31.0-GCC-12.3.0&lt;br /&gt;
   BEDTools/2.31.1-GCC-13.3.0                         &lt;br /&gt;
   BLAST+/2.13.0-gompi-2022a&lt;br /&gt;
   BLAST+/2.14.1-gompi-2023a&lt;br /&gt;
   BLAST+/2.16.0-gompi-2024a                          &lt;br /&gt;
   BLAT/3.7-GCC-11.3.0&lt;br /&gt;
   BLAT/3.7-GCC-12.3.0                                &lt;br /&gt;
   BLIS/0.9.0-GCC-11.3.0&lt;br /&gt;
   BLIS/0.9.0-GCC-12.3.0&lt;br /&gt;
   BLIS/0.9.0-GCC-13.2.0&lt;br /&gt;
   BLIS/1.0-GCC-13.3.0                                &lt;br /&gt;
   BRAKER/3.0.8-foss-2023a&lt;br /&gt;
   BUSCO/5.8.3-foss-2023a&lt;br /&gt;
   BWA/0.7.17-GCCcore-11.3.0&lt;br /&gt;
   BWA/0.7.17-GCCcore-12.3.0&lt;br /&gt;
   BWA/0.7.18-GCCcore-13.2.0&lt;br /&gt;
   BWA/0.7.18-GCCcore-13.3.0                          &lt;br /&gt;
   BamTools/2.5.2-GCC-11.3.0&lt;br /&gt;
   BamTools/2.5.2-GCC-12.3.0&lt;br /&gt;
   BamTools/2.5.2-GCC-13.3.0                          &lt;br /&gt;
   Bandage/0.9.0-GCCcore-12.3.0&lt;br /&gt;
   Bazel/6.1.0-GCCcore-12.3.0&lt;br /&gt;
   Bazel/6.3.1-GCCcore-12.3.0                         &lt;br /&gt;
   Beagle/5.4.22Jul22.46e-Java-11&lt;br /&gt;
   Beast/2.7.7-GCC-12.3.0-CUDA-12.1.1&lt;br /&gt;
   BeautifulSoup/4.12.2-GCCcore-12.3.0&lt;br /&gt;
   BeautifulSoup/4.12.2-GCCcore-13.2.0&lt;br /&gt;
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   HDF5/1.14.5-gompi-2024a                            &lt;br /&gt;
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   HMMER/3.4-gompi-2024a                              &lt;br /&gt;
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   scikit-image/0.19.3-foss-2022a&lt;br /&gt;
   scikit-image/0.22.0-foss-2023a&lt;br /&gt;
   scikit-image/0.25.0-foss-2024a                     &lt;br /&gt;
   scikit-learn/1.1.2-foss-2022a&lt;br /&gt;
   scikit-learn/1.3.1-gfbf-2023a&lt;br /&gt;
   scikit-learn/1.3.2-gfbf-2023b&lt;br /&gt;
   scikit-learn/1.4.0-gfbf-2023b&lt;br /&gt;
   scikit-learn/1.4.2-gfbf-2023a&lt;br /&gt;
   scikit-learn/1.5.2-gfbf-2024a                      &lt;br /&gt;
   scikit-optimize/0.10.2-foss-2023a&lt;br /&gt;
   seqtk/1.4-GCC-13.3.0&lt;br /&gt;
   setuptools-rust/1.6.0-GCCcore-12.3.0&lt;br /&gt;
   setuptools-rust/1.8.0-GCCcore-13.2.0&lt;br /&gt;
   setuptools-rust/1.9.0-GCCcore-13.3.0               &lt;br /&gt;
   smithwaterman/20160702-GCCcore-12.3.0&lt;br /&gt;
   smithwaterman/20160702-GCCcore-13.3.0              &lt;br /&gt;
   snakemake/8.27.0-foss-2024a&lt;br /&gt;
   snappy/1.1.9-GCCcore-11.3.0&lt;br /&gt;
   snappy/1.1.10-GCCcore-12.3.0&lt;br /&gt;
   snappy/1.1.10-GCCcore-13.2.0&lt;br /&gt;
   snappy/1.2.1-GCCcore-13.3.0                        &lt;br /&gt;
   snpEff/5.2c-GCCcore-12.3.0-Java-11&lt;br /&gt;
   spaln/2.4.13f-GCC-12.3.0&lt;br /&gt;
   spaln/3.0.6b-GCC-12.3.0                            &lt;br /&gt;
   sparsehash/2.0.4-GCCcore-12.3.0&lt;br /&gt;
   spglib-python/2.0.0-foss-2022a&lt;br /&gt;
   spglib-python/2.5.0-gfbf-2024a                     &lt;br /&gt;
   spglib/2.5.0-GCCcore-12.3.0&lt;br /&gt;
   spoa/4.1.0-GCC-12.3.0&lt;br /&gt;
   spoa/4.1.0-GCC-13.2.0                              &lt;br /&gt;
   statsmodels/0.14.1-gfbf-2023a&lt;br /&gt;
   statsmodels/0.14.4-gfbf-2024a                      &lt;br /&gt;
   swalign/0.2-GCCcore-13.3.0-Python-2.7.18&lt;br /&gt;
   sympy/1.12-gfbf-2023a&lt;br /&gt;
   sympy/1.12-gfbf-2023b&lt;br /&gt;
   sympy/1.13.3-gfbf-2024a                            &lt;br /&gt;
   tRNAscan-SE/2.0.12-foss-2023a&lt;br /&gt;
   tabix/0.2.6-GCCcore-12.3.0&lt;br /&gt;
   tabix/0.2.6-GCCcore-13.3.0                         &lt;br /&gt;
   tabixpp/1.1.2-GCC-12.3.0&lt;br /&gt;
   tabixpp/1.1.2-GCC-13.3.0                           &lt;br /&gt;
   tantan/50-GCC-12.3.0&lt;br /&gt;
   tbb/2021.5.0-GCCcore-11.3.0&lt;br /&gt;
   tbb/2021.11.0-GCCcore-12.3.0&lt;br /&gt;
   tbb/2021.13.0-GCCcore-13.2.0                       &lt;br /&gt;
   tbl2asn/20230713-GCCcore-12.3.0&lt;br /&gt;
   tcsh/6.24.01-GCCcore-11.3.0&lt;br /&gt;
   tcsh/6.24.10-GCCcore-12.3.0&lt;br /&gt;
   tcsh/6.24.13-GCCcore-13.3.0                        &lt;br /&gt;
   tensorboard/2.15.1-gfbf-2023a&lt;br /&gt;
   tensorboard/2.18.0-gfbf-2023b                      &lt;br /&gt;
   tensorboardX/2.6.2.2-foss-2023a&lt;br /&gt;
   tensorstore/0.1.65-foss-2023a&lt;br /&gt;
   tesseract/5.5.0-GCCcore-13.3.0&lt;br /&gt;
   texlive/20230313-GCC-12.3.0&lt;br /&gt;
   tiktoken/0.9.0-GCCcore-13.3.0&lt;br /&gt;
   time/1.9-GCCcore-11.3.0&lt;br /&gt;
   time/1.9-GCCcore-13.3.0                            &lt;br /&gt;
   tmux/3.4-GCCcore-13.3.0&lt;br /&gt;
   tokenizers/0.15.2-GCCcore-12.3.0&lt;br /&gt;
   tokenizers/0.19.1-GCCcore-13.2.0                   &lt;br /&gt;
   torchvision/0.16.0-foss-2023a-CUDA-12.1.1&lt;br /&gt;
   tornado/6.3.2-GCCcore-12.3.0&lt;br /&gt;
   tornado/6.4-GCCcore-13.2.0&lt;br /&gt;
   tornado/6.4.1-GCCcore-13.3.0                       &lt;br /&gt;
   tqdm/4.64.0-GCCcore-11.3.0&lt;br /&gt;
   tqdm/4.66.1-GCCcore-12.3.0&lt;br /&gt;
   tqdm/4.66.2-GCCcore-13.2.0&lt;br /&gt;
   tqdm/4.66.5-GCCcore-13.3.0                         &lt;br /&gt;
   trimAl/1.4.1-GCCcore-12.3.0&lt;br /&gt;
   trimAl/1.5.0-GCCcore-13.3.0                        &lt;br /&gt;
   typing-extensions/4.3.0-GCCcore-11.3.0&lt;br /&gt;
   typing-extensions/4.9.0-GCCcore-12.3.0&lt;br /&gt;
   typing-extensions/4.10.0-GCCcore-13.2.0&lt;br /&gt;
   typing-extensions/4.11.0-GCCcore-13.3.0            &lt;br /&gt;
   ucsc/443&lt;br /&gt;
   umap-learn/0.5.5-foss-2023a&lt;br /&gt;
   unifdef/2.12-GCCcore-12.3.0&lt;br /&gt;
   unimap/0.1-GCCcore-11.3.0&lt;br /&gt;
   utf8proc/2.8.0-GCCcore-12.3.0&lt;br /&gt;
   utf8proc/2.9.0-GCCcore-13.2.0&lt;br /&gt;
   utf8proc/2.9.0-GCCcore-13.3.0                      &lt;br /&gt;
   util-linux/2.38-GCCcore-11.3.0&lt;br /&gt;
   util-linux/2.39-GCCcore-12.3.0&lt;br /&gt;
   util-linux/2.39-GCCcore-13.2.0&lt;br /&gt;
   util-linux/2.40-GCCcore-13.3.0                     &lt;br /&gt;
   vcflib/1.0.9-gfbf-2023a-R-4.3.2&lt;br /&gt;
   vcflib/1.0.9-gfbf-2024a-R-4.4.2                    &lt;br /&gt;
   versioningit/3.1.2-GCCcore-13.3.0&lt;br /&gt;
   vg/1.65.0&lt;br /&gt;
   virtualenv/20.23.1-GCCcore-12.3.0&lt;br /&gt;
   virtualenv/20.24.6-GCCcore-13.2.0&lt;br /&gt;
   virtualenv/20.26.2-GCCcore-13.3.0                  &lt;br /&gt;
   wandb/0.16.1-GCC-12.3.0&lt;br /&gt;
   wget/1.21.3-GCCcore-11.3.0&lt;br /&gt;
   wget/1.24.5-GCCcore-12.3.0                         &lt;br /&gt;
   wpebackend-fdo/1.15.90-GCCcore-12.3.0&lt;br /&gt;
   wrapt/1.16.0-gfbf-2024a&lt;br /&gt;
   wxPython/4.2.1-foss-2023a&lt;br /&gt;
   wxWidgets/3.2.2.1-GCC-12.3.0&lt;br /&gt;
   x264/20220620-GCCcore-11.3.0&lt;br /&gt;
   x264/20230226-GCCcore-12.3.0&lt;br /&gt;
   x264/20231019-GCCcore-13.2.0&lt;br /&gt;
   x264/20240513-GCCcore-13.3.0                       &lt;br /&gt;
   x265/3.5-GCCcore-11.3.0&lt;br /&gt;
   x265/3.5-GCCcore-12.3.0&lt;br /&gt;
   x265/3.5-GCCcore-13.2.0&lt;br /&gt;
   x265/3.6-GCCcore-13.3.0                            &lt;br /&gt;
   xarray/2024.11.0-gfbf-2024a&lt;br /&gt;
   xorg-macros/1.19.3-GCCcore-11.3.0&lt;br /&gt;
   xorg-macros/1.20.0-GCCcore-12.3.0&lt;br /&gt;
   xorg-macros/1.20.0-GCCcore-13.2.0&lt;br /&gt;
   xorg-macros/1.20.1-GCCcore-13.3.0                  &lt;br /&gt;
   xprop/1.2.8-GCCcore-13.3.0&lt;br /&gt;
   xproto/7.0.31-GCCcore-11.3.0&lt;br /&gt;
   xproto/7.0.31-GCCcore-13.3.0                       &lt;br /&gt;
   xxHash/0.8.2-GCCcore-12.3.0&lt;br /&gt;
   xxd/9.0.2112-GCCcore-12.3.0&lt;br /&gt;
   xxd/9.1.0307-GCCcore-13.2.0&lt;br /&gt;
   xxd/9.1.1275-GCCcore-13.3.0                        &lt;br /&gt;
   zarr/2.18.4-foss-2024a&lt;br /&gt;
   zlib/1.2.11&lt;br /&gt;
   zlib/1.2.12-GCCcore-11.3.0&lt;br /&gt;
   zlib/1.2.12&lt;br /&gt;
   zlib/1.2.13-GCCcore-12.3.0&lt;br /&gt;
   zlib/1.2.13-GCCcore-13.2.0&lt;br /&gt;
   zlib/1.2.13&lt;br /&gt;
   zlib/1.3.1-GCCcore-13.3.0&lt;br /&gt;
   zlib/1.3.1                                         &lt;br /&gt;
   zstd/1.5.2-GCCcore-11.3.0&lt;br /&gt;
   zstd/1.5.5-GCCcore-12.3.0&lt;br /&gt;
   zstd/1.5.5-GCCcore-13.2.0&lt;br /&gt;
   zstd/1.5.6-GCCcore-13.3.0&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=Software_installed_on_Rocky_9&amp;diff=22446</id>
		<title>Software installed on Rocky 9</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=Software_installed_on_Rocky_9&amp;diff=22446"/>
		<updated>2025-07-02T18:01:32Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* List of software already installed centrally on the Rocky 9 system (new Sapelo2, available after the maintenance) */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
&lt;br /&gt;
As part of our July 29-31,2025 maintenance window, the GACRC will be upgrading the Sapelo2 cluster operating system from Rocky 8 to Rocky 9. &lt;br /&gt;
&lt;br /&gt;
Because this is a major OS update, we need to recompile all the applications and ensure that they work with the new version of OS.&lt;br /&gt;
&lt;br /&gt;
Below is a list of the modules already installed on the Rocky 9 system. More software packages continue to be installed. If the software you need is not in this list yet, please feel free to let us know, if you would like us to install it centrally on the updated cluster.&lt;br /&gt;
&lt;br /&gt;
All singularity containers available in /apps/singularity-images on the current Sapelo2 (Rocky 8) will continue to be available after the maintenance.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===List of software already installed centrally on the Rocky 9 system (new Sapelo2, available after the maintenance)===&lt;br /&gt;
&lt;br /&gt;
   ABySS/2.3.7-foss-2023a&lt;br /&gt;
   ADMIXTURE/1.3.0&lt;br /&gt;
   AFNI/25.1.01-foss-2024a&lt;br /&gt;
   AGAT/1.4.0-GCC-12.3.0&lt;br /&gt;
   AMOS/3.1.0-foss-2023a&lt;br /&gt;
   ANIcalculator/1.0-GCCcore-11.3.0&lt;br /&gt;
   ANSYS/2025R1&lt;br /&gt;
   ANTLR/2.7.7-GCCcore-12.3.0-Java-11&lt;br /&gt;
   ANTLR/2.7.7-GCCcore-13.3.0-Java-17                 &lt;br /&gt;
   APR-util/1.6.3-GCCcore-13.3.0&lt;br /&gt;
   APR/1.7.4-GCCcore-13.3.0&lt;br /&gt;
   ASE/3.22.1-foss-2022a&lt;br /&gt;
   ASE/3.23.0-gfbf-2024a                              &lt;br /&gt;
   ASTRAL/5.7.8-Java-1.8.0_241&lt;br /&gt;
   ATK/2.38.0-GCCcore-11.3.0&lt;br /&gt;
   ATK/2.38.0-GCCcore-12.3.0&lt;br /&gt;
   ATK/2.38.0-GCCcore-13.2.0                          &lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2022a&lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2023a&lt;br /&gt;
   AUGUSTUS/3.5.0-foss-2024a&lt;br /&gt;
   AUGUSTUS/3.5.0-20240612-foss-2023a                 &lt;br /&gt;
   Abseil/20230125.3-GCCcore-12.3.0&lt;br /&gt;
   Abseil/20240116.1-GCCcore-13.2.0&lt;br /&gt;
   Abseil/20240722.0-GCCcore-13.3.0                   &lt;br /&gt;
   Albumentations/1.3.0-foss-2022a&lt;br /&gt;
   Albumentations/1.4.0-foss-2023a                    &lt;br /&gt;
   AlphaFold/2.3.2-foss-2023a-CUDA-12.1.1&lt;br /&gt;
   Amber/22.4-foss-2022a-AmberTools-22.5-CUDA-11.7.0&lt;br /&gt;
   Amber/24.3-foss-2022a-AmberTools-24.10-CUDA-12.1.1 &lt;br /&gt;
   Ancestry_HMM/1.0.2-foss-2024a&lt;br /&gt;
   Archive-Zip/1.68-GCCcore-12.3.0&lt;br /&gt;
   Archive-Zip/1.68-GCCcore-13.3.0                    &lt;br /&gt;
   Armadillo/11.4.3-foss-2022a&lt;br /&gt;
   Armadillo/12.6.2-foss-2023a&lt;br /&gt;
   Armadillo/12.8.0-foss-2023b&lt;br /&gt;
   Armadillo/14.0.3-foss-2024a                        &lt;br /&gt;
   Arrow/14.0.1-gfbf-2023a&lt;br /&gt;
   Arrow/16.1.0-gfbf-2023b&lt;br /&gt;
   Arrow/17.0.0-gfbf-2024a                            &lt;br /&gt;
   Autoconf/2.71-GCCcore-11.3.0&lt;br /&gt;
   Autoconf/2.71-GCCcore-12.3.0&lt;br /&gt;
   Autoconf/2.71-GCCcore-13.2.0&lt;br /&gt;
   Autoconf/2.71&lt;br /&gt;
   Autoconf/2.72-GCCcore-13.3.0                       &lt;br /&gt;
   Automake/1.16.5-GCCcore-11.3.0&lt;br /&gt;
   Automake/1.16.5-GCCcore-12.3.0&lt;br /&gt;
   Automake/1.16.5-GCCcore-13.2.0&lt;br /&gt;
   Automake/1.16.5-GCCcore-13.3.0&lt;br /&gt;
   Automake/1.16.5                                    &lt;br /&gt;
   Autotools/20220317-GCCcore-11.3.0&lt;br /&gt;
   Autotools/20220317-GCCcore-12.3.0&lt;br /&gt;
   Autotools/20220317-GCCcore-13.2.0&lt;br /&gt;
   Autotools/20220317&lt;br /&gt;
   Autotools/20231222-GCCcore-13.3.0                  &lt;br /&gt;
   BBMap/39.01-GCC-11.3.0&lt;br /&gt;
   BBMap/39.01-GCC-12.3.0&lt;br /&gt;
   BBMap/39.19-GCC-13.3.0                             &lt;br /&gt;
   BCFtools/1.15.1-GCC-11.3.0&lt;br /&gt;
   BCFtools/1.18-GCC-12.3.0&lt;br /&gt;
   BCFtools/1.21-GCC-13.3.0                           &lt;br /&gt;
   BEDOPS/2.4.41-foss-2023a&lt;br /&gt;
   BEDTools/2.31.0-GCC-12.3.0&lt;br /&gt;
   BEDTools/2.31.1-GCC-13.3.0                         &lt;br /&gt;
   BLAST+/2.13.0-gompi-2022a&lt;br /&gt;
   BLAST+/2.14.1-gompi-2023a&lt;br /&gt;
   BLAST+/2.16.0-gompi-2024a                          &lt;br /&gt;
   BLAT/3.7-GCC-11.3.0&lt;br /&gt;
   BLAT/3.7-GCC-12.3.0                                &lt;br /&gt;
   BLIS/0.9.0-GCC-11.3.0&lt;br /&gt;
   BLIS/0.9.0-GCC-12.3.0&lt;br /&gt;
   BLIS/0.9.0-GCC-13.2.0&lt;br /&gt;
   BLIS/1.0-GCC-13.3.0                                &lt;br /&gt;
   BRAKER/3.0.8-foss-2023a&lt;br /&gt;
   BUSCO/5.8.3-foss-2023a&lt;br /&gt;
   BWA/0.7.17-GCCcore-11.3.0&lt;br /&gt;
   BWA/0.7.17-GCCcore-12.3.0&lt;br /&gt;
   BWA/0.7.18-GCCcore-13.2.0&lt;br /&gt;
   BWA/0.7.18-GCCcore-13.3.0                          &lt;br /&gt;
   BamTools/2.5.2-GCC-11.3.0&lt;br /&gt;
   BamTools/2.5.2-GCC-12.3.0&lt;br /&gt;
   BamTools/2.5.2-GCC-13.3.0                          &lt;br /&gt;
   Bandage/0.9.0-GCCcore-12.3.0&lt;br /&gt;
   Bazel/6.1.0-GCCcore-12.3.0&lt;br /&gt;
   Bazel/6.3.1-GCCcore-12.3.0                         &lt;br /&gt;
   Beagle/5.4.22Jul22.46e-Java-11&lt;br /&gt;
   Beast/2.7.7-GCC-12.3.0-CUDA-12.1.1&lt;br /&gt;
   BeautifulSoup/4.12.2-GCCcore-12.3.0&lt;br /&gt;
   BeautifulSoup/4.12.2-GCCcore-13.2.0&lt;br /&gt;
   BeautifulSoup/4.12.3-GCCcore-13.3.0                &lt;br /&gt;
   Bio-DB-HTS/3.01-GCC-12.3.0&lt;br /&gt;
   Bio-DB-HTS/3.01-GCC-13.3.0                         &lt;br /&gt;
   Bio-SearchIO-hmmer/1.7.3-GCC-12.3.0&lt;br /&gt;
   BioPerl/1.7.2-GCCcore-13.3.0&lt;br /&gt;
   BioPerl/1.7.8-GCCcore-11.3.0&lt;br /&gt;
   BioPerl/1.7.8-GCCcore-12.3.0&lt;br /&gt;
   BioPerl/1.7.8-GCCcore-13.2.0&lt;br /&gt;
   BioPerl/1.7.8-GCCcore-13.3.0                       &lt;br /&gt;
   Biopython/1.79-foss-2022a&lt;br /&gt;
   Biopython/1.83-foss-2023a&lt;br /&gt;
   Biopython/1.84-foss-2023b&lt;br /&gt;
   Biopython/1.84-foss-2024a                          &lt;br /&gt;
   Bismark/0.24.2-GCC-12.3.0&lt;br /&gt;
   Bison/3.8.2-GCCcore-11.3.0&lt;br /&gt;
   Bison/3.8.2-GCCcore-12.3.0&lt;br /&gt;
   Bison/3.8.2-GCCcore-13.2.0&lt;br /&gt;
   Bison/3.8.2-GCCcore-13.3.0&lt;br /&gt;
   Bison/3.8.2                                        &lt;br /&gt;
   Blosc/1.21.5-GCCcore-12.3.0&lt;br /&gt;
   Blosc/1.21.6-GCCcore-13.3.0                        &lt;br /&gt;
   Blosc2/2.17.0-GCCcore-13.3.0&lt;br /&gt;
   Boltz/2.1.1&lt;br /&gt;
   Boost.MPI/1.79.0-gompi-2022a&lt;br /&gt;
   Boost.MPI/1.82.0-gompi-2023a                       &lt;br /&gt;
   Boost.Python/1.82.0-GCC-12.3.0&lt;br /&gt;
   Boost.Python/1.85.0-GCC-13.3.0                     &lt;br /&gt;
   Boost/1.75.0-GCC-12.3.0&lt;br /&gt;
   Boost/1.79.0-GCC-11.3.0&lt;br /&gt;
   Boost/1.82.0-GCC-12.3.0&lt;br /&gt;
   Boost/1.83.0-GCC-13.2.0&lt;br /&gt;
   Boost/1.85.0-GCC-13.3.0                            &lt;br /&gt;
   Bowtie/1.3.1-GCC-11.3.0&lt;br /&gt;
   Bowtie/1.3.1-GCC-12.3.0                            &lt;br /&gt;
   Bowtie2/2.4.5-GCC-11.3.0&lt;br /&gt;
   Bowtie2/2.5.1-GCC-12.3.0&lt;br /&gt;
   Bowtie2/2.5.2-GCC-11.3.0                           &lt;br /&gt;
   Bracken/3.1-GCCcore-12.3.0&lt;br /&gt;
   BrainNetViewer/20191031&lt;br /&gt;
   Brotli-python/1.1.0-GCCcore-13.3.0&lt;br /&gt;
   Brotli/1.0.9-GCCcore-11.3.0&lt;br /&gt;
   Brotli/1.0.9-GCCcore-12.3.0&lt;br /&gt;
   Brotli/1.1.0-GCCcore-13.2.0&lt;br /&gt;
   Brotli/1.1.0-GCCcore-13.3.0                        &lt;br /&gt;
   Brunsli/0.1-GCCcore-12.3.0&lt;br /&gt;
   Brunsli/0.1-GCCcore-13.2.0&lt;br /&gt;
   Brunsli/0.1-GCCcore-13.3.0                         &lt;br /&gt;
   CD-HIT/4.8.1-GCC-11.3.0&lt;br /&gt;
   CD-HIT/4.8.1-GCC-12.3.0                            &lt;br /&gt;
   CDBtools/0.99-GCC-12.3.0&lt;br /&gt;
   CDO/2.4.4-gompi-2024a&lt;br /&gt;
   CFITSIO/4.3.0-GCCcore-12.3.0&lt;br /&gt;
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   tensorboard/2.18.0-gfbf-2023b                      &lt;br /&gt;
   tensorboardX/2.6.2.2-foss-2023a&lt;br /&gt;
   tensorstore/0.1.65-foss-2023a&lt;br /&gt;
   tesseract/5.5.0-GCCcore-13.3.0&lt;br /&gt;
   texlive/20230313-GCC-12.3.0&lt;br /&gt;
   tiktoken/0.9.0-GCCcore-13.3.0&lt;br /&gt;
   time/1.9-GCCcore-11.3.0&lt;br /&gt;
   time/1.9-GCCcore-13.3.0                            &lt;br /&gt;
   tmux/3.4-GCCcore-13.3.0&lt;br /&gt;
   tokenizers/0.15.2-GCCcore-12.3.0&lt;br /&gt;
   tokenizers/0.19.1-GCCcore-13.2.0                   &lt;br /&gt;
   torchvision/0.16.0-foss-2023a-CUDA-12.1.1&lt;br /&gt;
   tornado/6.3.2-GCCcore-12.3.0&lt;br /&gt;
   tornado/6.4-GCCcore-13.2.0&lt;br /&gt;
   tornado/6.4.1-GCCcore-13.3.0                       &lt;br /&gt;
   tqdm/4.64.0-GCCcore-11.3.0&lt;br /&gt;
   tqdm/4.66.1-GCCcore-12.3.0&lt;br /&gt;
   tqdm/4.66.2-GCCcore-13.2.0&lt;br /&gt;
   tqdm/4.66.5-GCCcore-13.3.0                         &lt;br /&gt;
   trimAl/1.4.1-GCCcore-12.3.0&lt;br /&gt;
   trimAl/1.5.0-GCCcore-13.3.0                        &lt;br /&gt;
   typing-extensions/4.3.0-GCCcore-11.3.0&lt;br /&gt;
   typing-extensions/4.9.0-GCCcore-12.3.0&lt;br /&gt;
   typing-extensions/4.10.0-GCCcore-13.2.0&lt;br /&gt;
   typing-extensions/4.11.0-GCCcore-13.3.0            &lt;br /&gt;
   ucsc/443&lt;br /&gt;
   umap-learn/0.5.5-foss-2023a&lt;br /&gt;
   unifdef/2.12-GCCcore-12.3.0&lt;br /&gt;
   unimap/0.1-GCCcore-11.3.0&lt;br /&gt;
   utf8proc/2.8.0-GCCcore-12.3.0&lt;br /&gt;
   utf8proc/2.9.0-GCCcore-13.2.0&lt;br /&gt;
   utf8proc/2.9.0-GCCcore-13.3.0                      &lt;br /&gt;
   util-linux/2.38-GCCcore-11.3.0&lt;br /&gt;
   util-linux/2.39-GCCcore-12.3.0&lt;br /&gt;
   util-linux/2.39-GCCcore-13.2.0&lt;br /&gt;
   util-linux/2.40-GCCcore-13.3.0                     &lt;br /&gt;
   vcflib/1.0.9-gfbf-2023a-R-4.3.2&lt;br /&gt;
   vcflib/1.0.9-gfbf-2024a-R-4.4.2                    &lt;br /&gt;
   versioningit/3.1.2-GCCcore-13.3.0&lt;br /&gt;
   vg/1.65.0&lt;br /&gt;
   virtualenv/20.23.1-GCCcore-12.3.0&lt;br /&gt;
   virtualenv/20.24.6-GCCcore-13.2.0&lt;br /&gt;
   virtualenv/20.26.2-GCCcore-13.3.0                  &lt;br /&gt;
   wandb/0.16.1-GCC-12.3.0&lt;br /&gt;
   wget/1.21.3-GCCcore-11.3.0&lt;br /&gt;
   wget/1.24.5-GCCcore-12.3.0                         &lt;br /&gt;
   wpebackend-fdo/1.15.90-GCCcore-12.3.0&lt;br /&gt;
   wrapt/1.16.0-gfbf-2024a&lt;br /&gt;
   wxPython/4.2.1-foss-2023a&lt;br /&gt;
   wxWidgets/3.2.2.1-GCC-12.3.0&lt;br /&gt;
   x264/20220620-GCCcore-11.3.0&lt;br /&gt;
   x264/20230226-GCCcore-12.3.0&lt;br /&gt;
   x264/20231019-GCCcore-13.2.0&lt;br /&gt;
   x264/20240513-GCCcore-13.3.0                       &lt;br /&gt;
   x265/3.5-GCCcore-11.3.0&lt;br /&gt;
   x265/3.5-GCCcore-12.3.0&lt;br /&gt;
   x265/3.5-GCCcore-13.2.0&lt;br /&gt;
   x265/3.6-GCCcore-13.3.0                            &lt;br /&gt;
   xarray/2024.11.0-gfbf-2024a&lt;br /&gt;
   xorg-macros/1.19.3-GCCcore-11.3.0&lt;br /&gt;
   xorg-macros/1.20.0-GCCcore-12.3.0&lt;br /&gt;
   xorg-macros/1.20.0-GCCcore-13.2.0&lt;br /&gt;
   xorg-macros/1.20.1-GCCcore-13.3.0                  &lt;br /&gt;
   xprop/1.2.8-GCCcore-13.3.0&lt;br /&gt;
   xproto/7.0.31-GCCcore-11.3.0&lt;br /&gt;
   xproto/7.0.31-GCCcore-13.3.0                       &lt;br /&gt;
   xxHash/0.8.2-GCCcore-12.3.0&lt;br /&gt;
   xxd/9.0.2112-GCCcore-12.3.0&lt;br /&gt;
   xxd/9.1.0307-GCCcore-13.2.0&lt;br /&gt;
   xxd/9.1.1275-GCCcore-13.3.0                        &lt;br /&gt;
   zarr/2.18.4-foss-2024a&lt;br /&gt;
   zlib/1.2.11&lt;br /&gt;
   zlib/1.2.12-GCCcore-11.3.0&lt;br /&gt;
   zlib/1.2.12&lt;br /&gt;
   zlib/1.2.13-GCCcore-12.3.0&lt;br /&gt;
   zlib/1.2.13-GCCcore-13.2.0&lt;br /&gt;
   zlib/1.2.13&lt;br /&gt;
   zlib/1.3.1-GCCcore-13.3.0&lt;br /&gt;
   zlib/1.3.1                                         &lt;br /&gt;
   zstd/1.5.2-GCCcore-11.3.0&lt;br /&gt;
   zstd/1.5.5-GCCcore-12.3.0&lt;br /&gt;
   zstd/1.5.5-GCCcore-13.2.0&lt;br /&gt;
   zstd/1.5.6-GCCcore-13.3.0&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=SRAToolKit-Sapelo2&amp;diff=22397</id>
		<title>SRAToolKit-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=SRAToolKit-Sapelo2&amp;diff=22397"/>
		<updated>2025-05-27T20:40:22Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Downloading SRA Data */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
=== Category ===&lt;br /&gt;
BioInformatics&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
=== Version ===&lt;br /&gt;
3.0.1, 3.0.3, 3.0.10&lt;br /&gt;
===Author / Distributor===&lt;br /&gt;
Please see https://github.com/ncbi/sra-tools&lt;br /&gt;
===Description===&lt;br /&gt;
The SRA Toolkit from NCBI is a collection of tools and libraries for using data in the INSDC Sequence Read Archives. The Sequence Read Archives (SRA) store raw sequence data from &amp;quot;next-generation&amp;quot; sequencing technologies including Illumina, 454, IonTorrent, Complete Genomics, PacBio and OxfordNanopores. In addition to raw sequence data, SRA now stores alignment information in the form of read placements on a reference sequence. The SRA-Toolkit includes the following tools:&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Command&lt;br /&gt;
!Description&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;fastq-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into fastq format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;prefetch&amp;lt;/code&amp;gt;&lt;br /&gt;
|Allows command-line downloading of SRA, dbGaP, and ADSP data&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sam-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data to sam format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sra-pileup&amp;lt;/code&amp;gt;&lt;br /&gt;
|Generate pileup statistics on aligned SRA data&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-config&amp;lt;/code&amp;gt;&lt;br /&gt;
|Display and modify VDB configuration information&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-decrypt&amp;lt;/code&amp;gt;&lt;br /&gt;
|Decrypt non-SRA dbGaP data (&amp;quot;phenotype data&amp;quot;)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;abi-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into ABI format (csfasta / qual)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;illumina-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into Illumina native formats (qseq, etc.)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sff-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data to sff format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sra-stat&amp;lt;/code&amp;gt;&lt;br /&gt;
|Generate statistics about SRA data (quality distribution, etc.)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Output the native VDB format of SRA data.&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-encrypt&amp;lt;/code&amp;gt;&lt;br /&gt;
|Encrypt non-SRA dbGaP data (&amp;quot;phenotype data&amp;quot;)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-validate&amp;lt;/code&amp;gt;&lt;br /&gt;
|Validate the integrity of downloaded SRA data&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Downloading SRA Data ===&lt;br /&gt;
&lt;br /&gt;
The latest installed version of this application is at SRA-Toolkit/3.0.10-gompi-2023a&lt;br /&gt;
&lt;br /&gt;
To use this version, please load the module with&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
ml SRA-Toolkit/3.0.10-gompi-2023a&lt;br /&gt;
&amp;lt;/pre&amp;gt; &lt;br /&gt;
&lt;br /&gt;
You can download SRA data to local directory with the prefetch tool. This program downloads Runs (sequence files in the compressed SRA format) and all additional data necessary to convert the Run from the SRA format to a more commonly used format. You can search for a dataset using the search bar at the top of the SRA homepage. https://www.ncbi.nlm.nih.gov/sra Once you find a dataset you would like to download, search for the &amp;quot;Run number&amp;quot; in the table towards the bottom of the webpage for that dataset. Then create the folder where prefetch will deposit your files. This needs to be an empty folder. It is recommended that you download data into your scratch directory since there is plenty of space there. &lt;br /&gt;
&lt;br /&gt;
Next, run the command:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre&amp;gt;vdb-config --interactive&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This will open a screen where you operate the buttons by pressing the letter highlighted in red, or by pressing the tab-key until the wanted button is reached and then pressing the space- or the enter-key. Make sure there is an X by the &amp;quot;&#039;&#039;&#039;Enable Remote Access&#039;&#039;&#039;&amp;quot; option on the MAIN tab, and X by the &amp;quot;&#039;&#039;&#039;enable local file-caching&#039;&#039;&#039;&amp;quot; option in the CACHE tab. Then set the &amp;quot;location of user-repository&amp;quot; to the empty folder you created. In the following image the data will be downloaded to /scratch/keekov/prefetchData. These settings are stored in a file called &#039;&#039;&#039;user-settings.mkfg&#039;&#039;&#039; in a hidden directory called .ncbi in the top level of your home directory.&lt;br /&gt;
[[File:Sratools.png|thumb]]&lt;br /&gt;
&lt;br /&gt;
Then press &amp;quot;s&amp;quot; or navigate to the save button and press enter to save. Then press &amp;quot;x&amp;quot; or navigate to the exit button and press enter to exit. Now you can start the data download by running the command prefetch followed by the run number. For example the following downloads the dataset SRR390728.&lt;br /&gt;
&amp;lt;pre&amp;gt;prefetch SRR390728&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more information about the prefetch command refer to the [https://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?view=toolkit_doc&amp;amp;f=prefetch documentation]&lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
You can now run other SRA-Tools on the SRA data you&#039;ve downloaded.&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
For more information on Environment Modules on Sapelo please see the [[Lmod]] page.&lt;br /&gt;
&lt;br /&gt;
Here is an example of a shell script, sub.sh, to run on the batch queue:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=SRA-ToolsExample&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --cpus-per-task=6 #fasterq-dump defaults to using 6 threads&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;24gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=%x.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=%x.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
ml SRA-Toolkit/3.0.10-gompi-2023a&amp;lt;br&amp;gt;&lt;br /&gt;
prefetch SRR390728 &amp;lt;br&amp;gt;   &lt;br /&gt;
fasterq-dump /scratch/MyID/SRR390728.sra #You should use the directory you selected in the vdb-config step above&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that if you&#039;re downloading paired-end (Illumina) sequencing data and want the paired ends in separate .fastq files, use the &#039;-S&#039; option when extracting the files using fasterq-dump.&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Please see https://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?view=toolkit_doc for the documentation of each tool.&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
&lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=SRAToolKit-Sapelo2&amp;diff=22396</id>
		<title>SRAToolKit-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=SRAToolKit-Sapelo2&amp;diff=22396"/>
		<updated>2025-05-27T20:39:37Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
=== Category ===&lt;br /&gt;
BioInformatics&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
=== Version ===&lt;br /&gt;
3.0.1, 3.0.3, 3.0.10&lt;br /&gt;
===Author / Distributor===&lt;br /&gt;
Please see https://github.com/ncbi/sra-tools&lt;br /&gt;
===Description===&lt;br /&gt;
The SRA Toolkit from NCBI is a collection of tools and libraries for using data in the INSDC Sequence Read Archives. The Sequence Read Archives (SRA) store raw sequence data from &amp;quot;next-generation&amp;quot; sequencing technologies including Illumina, 454, IonTorrent, Complete Genomics, PacBio and OxfordNanopores. In addition to raw sequence data, SRA now stores alignment information in the form of read placements on a reference sequence. The SRA-Toolkit includes the following tools:&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Command&lt;br /&gt;
!Description&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;fastq-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into fastq format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;prefetch&amp;lt;/code&amp;gt;&lt;br /&gt;
|Allows command-line downloading of SRA, dbGaP, and ADSP data&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sam-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data to sam format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sra-pileup&amp;lt;/code&amp;gt;&lt;br /&gt;
|Generate pileup statistics on aligned SRA data&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-config&amp;lt;/code&amp;gt;&lt;br /&gt;
|Display and modify VDB configuration information&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-decrypt&amp;lt;/code&amp;gt;&lt;br /&gt;
|Decrypt non-SRA dbGaP data (&amp;quot;phenotype data&amp;quot;)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;abi-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into ABI format (csfasta / qual)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;illumina-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into Illumina native formats (qseq, etc.)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sff-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data to sff format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sra-stat&amp;lt;/code&amp;gt;&lt;br /&gt;
|Generate statistics about SRA data (quality distribution, etc.)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Output the native VDB format of SRA data.&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-encrypt&amp;lt;/code&amp;gt;&lt;br /&gt;
|Encrypt non-SRA dbGaP data (&amp;quot;phenotype data&amp;quot;)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-validate&amp;lt;/code&amp;gt;&lt;br /&gt;
|Validate the integrity of downloaded SRA data&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Downloading SRA Data ===&lt;br /&gt;
&lt;br /&gt;
The last version of this application is at /apps/eb/SRA-Toolkit/3.0.3-gompi-2022a&lt;br /&gt;
&lt;br /&gt;
To use this version, please load the module with&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
ml SRA-Toolkit/3.0.3-gompi-2022a&lt;br /&gt;
&amp;lt;/pre&amp;gt; &lt;br /&gt;
&lt;br /&gt;
You can download SRA data to local directory with the prefetch tool. This program downloads Runs (sequence files in the compressed SRA format) and all additional data necessary to convert the Run from the SRA format to a more commonly used format. You can search for a dataset using the search bar at the top of the SRA homepage. https://www.ncbi.nlm.nih.gov/sra Once you find a dataset you would like to download, search for the &amp;quot;Run number&amp;quot; in the table towards the bottom of the webpage for that dataset. Then create the folder where prefetch will deposit your files. This needs to be an empty folder. It is recommended that you download data into your scratch directory since there is plenty of space there. &lt;br /&gt;
&lt;br /&gt;
Next, run the command:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre&amp;gt;vdb-config --interactive&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This will open a screen where you operate the buttons by pressing the letter highlighted in red, or by pressing the tab-key until the wanted button is reached and then pressing the space- or the enter-key. Make sure there is an X by the &amp;quot;&#039;&#039;&#039;Enable Remote Access&#039;&#039;&#039;&amp;quot; option on the MAIN tab, and X by the &amp;quot;&#039;&#039;&#039;enable local file-caching&#039;&#039;&#039;&amp;quot; option in the CACHE tab. Then set the &amp;quot;location of user-repository&amp;quot; to the empty folder you created. In the following image the data will be downloaded to /scratch/keekov/prefetchData. These settings are stored in a file called &#039;&#039;&#039;user-settings.mkfg&#039;&#039;&#039; in a hidden directory called .ncbi in the top level of your home directory.&lt;br /&gt;
[[File:Sratools.png|thumb]]&lt;br /&gt;
&lt;br /&gt;
Then press &amp;quot;s&amp;quot; or navigate to the save button and press enter to save. Then press &amp;quot;x&amp;quot; or navigate to the exit button and press enter to exit. Now you can start the data download by running the command prefetch followed by the run number. For example the following downloads the dataset SRR390728.&lt;br /&gt;
&amp;lt;pre&amp;gt;prefetch SRR390728&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more information about the prefetch command refer to the [https://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?view=toolkit_doc&amp;amp;f=prefetch documentation]&lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
You can now run other SRA-Tools on the SRA data you&#039;ve downloaded.&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
For more information on Environment Modules on Sapelo please see the [[Lmod]] page.&lt;br /&gt;
&lt;br /&gt;
Here is an example of a shell script, sub.sh, to run on the batch queue:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=SRA-ToolsExample&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --cpus-per-task=6 #fasterq-dump defaults to using 6 threads&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;24gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=%x.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=%x.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
ml SRA-Toolkit/3.0.10-gompi-2023a&amp;lt;br&amp;gt;&lt;br /&gt;
prefetch SRR390728 &amp;lt;br&amp;gt;   &lt;br /&gt;
fasterq-dump /scratch/MyID/SRR390728.sra #You should use the directory you selected in the vdb-config step above&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Note that if you&#039;re downloading paired-end (Illumina) sequencing data and want the paired ends in separate .fastq files, use the &#039;-S&#039; option when extracting the files using fasterq-dump.&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Please see https://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?view=toolkit_doc for the documentation of each tool.&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
&lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=SRAToolKit-Sapelo2&amp;diff=22395</id>
		<title>SRAToolKit-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=SRAToolKit-Sapelo2&amp;diff=22395"/>
		<updated>2025-05-27T20:35:01Z</updated>

		<summary type="html">&lt;p&gt;Jordan: /* Running Program */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
=== Category ===&lt;br /&gt;
BioInformatics&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
=== Version ===&lt;br /&gt;
3.0.1, 3.0.3, 3.0.10&lt;br /&gt;
===Author / Distributor===&lt;br /&gt;
Please see https://github.com/ncbi/sra-tools&lt;br /&gt;
===Description===&lt;br /&gt;
The SRA Toolkit from NCBI is a collection of tools and libraries for using data in the INSDC Sequence Read Archives. The Sequence Read Archives (SRA) store raw sequence data from &amp;quot;next-generation&amp;quot; sequencing technologies including Illumina, 454, IonTorrent, Complete Genomics, PacBio and OxfordNanopores. In addition to raw sequence data, SRA now stores alignment information in the form of read placements on a reference sequence. The SRA-Toolkit includes the following tools:&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Command&lt;br /&gt;
!Description&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;fastq-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into fastq format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;prefetch&amp;lt;/code&amp;gt;&lt;br /&gt;
|Allows command-line downloading of SRA, dbGaP, and ADSP data&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sam-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data to sam format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sra-pileup&amp;lt;/code&amp;gt;&lt;br /&gt;
|Generate pileup statistics on aligned SRA data&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-config&amp;lt;/code&amp;gt;&lt;br /&gt;
|Display and modify VDB configuration information&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-decrypt&amp;lt;/code&amp;gt;&lt;br /&gt;
|Decrypt non-SRA dbGaP data (&amp;quot;phenotype data&amp;quot;)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;abi-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into ABI format (csfasta / qual)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;illumina-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into Illumina native formats (qseq, etc.)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sff-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data to sff format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sra-stat&amp;lt;/code&amp;gt;&lt;br /&gt;
|Generate statistics about SRA data (quality distribution, etc.)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Output the native VDB format of SRA data.&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-encrypt&amp;lt;/code&amp;gt;&lt;br /&gt;
|Encrypt non-SRA dbGaP data (&amp;quot;phenotype data&amp;quot;)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-validate&amp;lt;/code&amp;gt;&lt;br /&gt;
|Validate the integrity of downloaded SRA data&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Downloading SRA Data ===&lt;br /&gt;
&lt;br /&gt;
The last version of this application is at /apps/eb/SRA-Toolkit/3.0.3-gompi-2022a&lt;br /&gt;
&lt;br /&gt;
To use this version, please load the module with&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
ml SRA-Toolkit/3.0.3-gompi-2022a&lt;br /&gt;
&amp;lt;/pre&amp;gt; &lt;br /&gt;
&lt;br /&gt;
You can download SRA data to local directory with the prefetch tool. This program downloads Runs (sequence files in the compressed SRA format) and all additional data necessary to convert the Run from the SRA format to a more commonly used format. You can search for a dataset using the search bar at the top of the SRA homepage. https://www.ncbi.nlm.nih.gov/sra Once you find a dataset you would like to download, search for the &amp;quot;Run number&amp;quot; in the table towards the bottom of the webpage for that dataset. Then create the folder where prefetch will deposit your files. This needs to be an empty folder. It is recommended that you download data into your scratch directory since there is plenty of space there. &lt;br /&gt;
&lt;br /&gt;
Next, run the command:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre&amp;gt;vdb-config --interactive&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This will open a screen where you operate the buttons by pressing the letter highlighted in red, or by pressing the tab-key until the wanted button is reached and then pressing the space- or the enter-key. Make sure there is an X by the &amp;quot;&#039;&#039;&#039;Enable Remote Access&#039;&#039;&#039;&amp;quot; option on the MAIN tab, and X by the &amp;quot;&#039;&#039;&#039;enable local file-caching&#039;&#039;&#039;&amp;quot; option in the CACHE tab. Then set the &amp;quot;location of user-repository&amp;quot; to the empty folder you created. In the following image the data will be downloaded to /scratch/keekov/prefetchData. These settings are stored in a file called &#039;&#039;&#039;user-settings.mkfg&#039;&#039;&#039; in a hidden directory called .ncbi in the top level of your home directory.&lt;br /&gt;
[[File:Sratools.png|thumb]]&lt;br /&gt;
&lt;br /&gt;
Then press &amp;quot;s&amp;quot; or navigate to the save button and press enter to save. Then press &amp;quot;x&amp;quot; or navigate to the exit button and press enter to exit. Now you can start the data download by running the command prefetch followed by the run number. For example the following downloads the dataset SRR390728.&lt;br /&gt;
&amp;lt;pre&amp;gt;prefetch SRR390728&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more information about the prefetch command refer to the [https://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?view=toolkit_doc&amp;amp;f=prefetch documentation]&lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
You can now run other SRA-Tools on the SRA data you&#039;ve downloaded.&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
For more information on Environment Modules on Sapelo please see the [[Lmod]] page.&lt;br /&gt;
&lt;br /&gt;
Here is an example of a shell script, sub.sh, to run on the batch queue:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=SRA-ToolsExample&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=1&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --cpus-per-task=6 #fasterq-dump defaults to using 6 threads&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;10gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=fastq-dump.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=fastq-dump.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
ml SRA-Toolkit/3.0.10-gompi-2023a&amp;lt;br&amp;gt;&lt;br /&gt;
prefetch SRR390728   &lt;br /&gt;
fasterq-dump /scratch/keekov/SRR390728.sra #You should use the directory you selected in the vdb-config step above&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Please see https://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?view=toolkit_doc for the documentation of each tool.&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
&lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
	<entry>
		<id>https://wiki.gacrc.uga.edu/index.php?title=SRAToolKit-Sapelo2&amp;diff=22394</id>
		<title>SRAToolKit-Sapelo2</title>
		<link rel="alternate" type="text/html" href="https://wiki.gacrc.uga.edu/index.php?title=SRAToolKit-Sapelo2&amp;diff=22394"/>
		<updated>2025-05-27T19:35:37Z</updated>

		<summary type="html">&lt;p&gt;Jordan: Edited to include v3.0.10 to the list of available versions.&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Category:Sapelo2]][[Category:Software]][[Category:Bioinformatics]]  &lt;br /&gt;
=== Category ===&lt;br /&gt;
BioInformatics&lt;br /&gt;
=== Program On ===&lt;br /&gt;
Sapelo2&lt;br /&gt;
=== Version ===&lt;br /&gt;
3.0.1, 3.0.3, 3.0.10&lt;br /&gt;
===Author / Distributor===&lt;br /&gt;
Please see https://github.com/ncbi/sra-tools&lt;br /&gt;
===Description===&lt;br /&gt;
The SRA Toolkit from NCBI is a collection of tools and libraries for using data in the INSDC Sequence Read Archives. The Sequence Read Archives (SRA) store raw sequence data from &amp;quot;next-generation&amp;quot; sequencing technologies including Illumina, 454, IonTorrent, Complete Genomics, PacBio and OxfordNanopores. In addition to raw sequence data, SRA now stores alignment information in the form of read placements on a reference sequence. The SRA-Toolkit includes the following tools:&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|+&lt;br /&gt;
!Command&lt;br /&gt;
!Description&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;fastq-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into fastq format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;prefetch&amp;lt;/code&amp;gt;&lt;br /&gt;
|Allows command-line downloading of SRA, dbGaP, and ADSP data&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sam-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data to sam format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sra-pileup&amp;lt;/code&amp;gt;&lt;br /&gt;
|Generate pileup statistics on aligned SRA data&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-config&amp;lt;/code&amp;gt;&lt;br /&gt;
|Display and modify VDB configuration information&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-decrypt&amp;lt;/code&amp;gt;&lt;br /&gt;
|Decrypt non-SRA dbGaP data (&amp;quot;phenotype data&amp;quot;)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;abi-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into ABI format (csfasta / qual)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;illumina-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data into Illumina native formats (qseq, etc.)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sff-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Convert SRA data to sff format&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;sra-stat&amp;lt;/code&amp;gt;&lt;br /&gt;
|Generate statistics about SRA data (quality distribution, etc.)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-dump&amp;lt;/code&amp;gt;&lt;br /&gt;
|Output the native VDB format of SRA data.&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-encrypt&amp;lt;/code&amp;gt;&lt;br /&gt;
|Encrypt non-SRA dbGaP data (&amp;quot;phenotype data&amp;quot;)&lt;br /&gt;
|-&lt;br /&gt;
|&amp;lt;code&amp;gt;vdb-validate&amp;lt;/code&amp;gt;&lt;br /&gt;
|Validate the integrity of downloaded SRA data&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=== Downloading SRA Data ===&lt;br /&gt;
&lt;br /&gt;
The last version of this application is at /apps/eb/SRA-Toolkit/3.0.3-gompi-2022a&lt;br /&gt;
&lt;br /&gt;
To use this version, please load the module with&lt;br /&gt;
&amp;lt;pre class=&amp;quot;gscript&amp;quot;&amp;gt;&lt;br /&gt;
ml SRA-Toolkit/3.0.3-gompi-2022a&lt;br /&gt;
&amp;lt;/pre&amp;gt; &lt;br /&gt;
&lt;br /&gt;
You can download SRA data to local directory with the prefetch tool. This program downloads Runs (sequence files in the compressed SRA format) and all additional data necessary to convert the Run from the SRA format to a more commonly used format. You can search for a dataset using the search bar at the top of the SRA homepage. https://www.ncbi.nlm.nih.gov/sra Once you find a dataset you would like to download, search for the &amp;quot;Run number&amp;quot; in the table towards the bottom of the webpage for that dataset. Then create the folder where prefetch will deposit your files. This needs to be an empty folder. It is recommended that you download data into your scratch directory since there is plenty of space there. &lt;br /&gt;
&lt;br /&gt;
Next, run the command:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;pre&amp;gt;vdb-config --interactive&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This will open a screen where you operate the buttons by pressing the letter highlighted in red, or by pressing the tab-key until the wanted button is reached and then pressing the space- or the enter-key. Make sure there is an X by the &amp;quot;&#039;&#039;&#039;Enable Remote Access&#039;&#039;&#039;&amp;quot; option on the MAIN tab, and X by the &amp;quot;&#039;&#039;&#039;enable local file-caching&#039;&#039;&#039;&amp;quot; option in the CACHE tab. Then set the &amp;quot;location of user-repository&amp;quot; to the empty folder you created. In the following image the data will be downloaded to /scratch/keekov/prefetchData. These settings are stored in a file called &#039;&#039;&#039;user-settings.mkfg&#039;&#039;&#039; in a hidden directory called .ncbi in the top level of your home directory.&lt;br /&gt;
[[File:Sratools.png|thumb]]&lt;br /&gt;
&lt;br /&gt;
Then press &amp;quot;s&amp;quot; or navigate to the save button and press enter to save. Then press &amp;quot;x&amp;quot; or navigate to the exit button and press enter to exit. Now you can start the data download by running the command prefetch followed by the run number. For example the following downloads the dataset SRR390728.&lt;br /&gt;
&amp;lt;pre&amp;gt;prefetch SRR390728&amp;lt;/pre&amp;gt;&lt;br /&gt;
&lt;br /&gt;
For more information about the prefetch command refer to the [https://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?view=toolkit_doc&amp;amp;f=prefetch documentation]&lt;br /&gt;
&lt;br /&gt;
=== Running Program ===&lt;br /&gt;
You can now run other SRA-Tools on the SRA data you&#039;ve downloaded.&lt;br /&gt;
Also refer to [[Running Jobs on Sapelo2]]&lt;br /&gt;
&lt;br /&gt;
For more information on Environment Modules on Sapelo please see the [[Lmod]] page.&lt;br /&gt;
&lt;br /&gt;
Here is an example of a shell script, sub.sh, to run on the batch queue:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;div class=&amp;quot;gscript2&amp;quot;&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;!/bin/bash&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --job-name=SRA-ToolsExample&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --partition=batch&amp;lt;br&amp;gt;        &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-type=ALL&amp;lt;br&amp;gt; &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mail-user=&amp;lt;u&amp;gt;username@uga.edu&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;  &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --ntasks=&amp;lt;u&amp;gt;1&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --mem=&amp;lt;u&amp;gt;10gb&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;    &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --time=&amp;lt;u&amp;gt;08:00:00&amp;lt;/u&amp;gt;&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --output=fastq-dump.%j.out&amp;lt;br&amp;gt;&lt;br /&gt;
&amp;lt;nowiki&amp;gt;#&amp;lt;/nowiki&amp;gt;SBATCH --error=fastq-dump.%j.err&amp;lt;br&amp;gt;&lt;br /&gt;
 &lt;br /&gt;
cd $SLURM_SUBMIT_DIR&amp;lt;br&amp;gt;&lt;br /&gt;
ml SRA-Toolkit/3.0.3-gompi-2022a&amp;lt;br&amp;gt;    &lt;br /&gt;
fastq-dump -X 5 -Z /scratch/keekov/SRR390728.sra #You should use the directory you selected in the vdb-config step above&amp;lt;br&amp;gt;   &lt;br /&gt;
&amp;lt;/div&amp;gt;&lt;br /&gt;
&lt;br /&gt;
=== Documentation ===&lt;br /&gt;
&lt;br /&gt;
Please see https://trace.ncbi.nlm.nih.gov/Traces/sra/sra.cgi?view=toolkit_doc for the documentation of each tool.&lt;br /&gt;
&lt;br /&gt;
=== Installation ===&lt;br /&gt;
&lt;br /&gt;
=== System ===&lt;br /&gt;
64-bit Linux&lt;/div&gt;</summary>
		<author><name>Jordan</name></author>
	</entry>
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