Trinity-Sapelo2: Difference between revisions

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Also refer to [[Running Jobs on Sapelo2]]
Also refer to [[Running Jobs on Sapelo2]]


Trinity 2.5.1, 2.8.4, 2.8.5, 2.9.1, and 2.10.0 are installed at Sapelo2.
Trinity v2.5.1, v2.8.4, v2.8.5, v2.9.1, and v2.10.0 are installed at Sapelo2.


* Mostly trinity needs to run at large memory queue, namely highmem_p, as in the sample script below.
* Mostly trinity needs to run at large memory queue, namely highmem_p, as in the sample script below.
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====Trinity 2.5.1, 2.8.4 and 2.8.5 Singularity Container on Sapelo2====
====Trinity v2.5.1, v2.8.4 and v2.8.5 Singularity Container on Sapelo2====


On the Sapelo2 cluster, singularity containers have access to the users home directory ($HOME), scratch directory (/scratch), lscratch directory (/lscratch), /tmp directory (/tmp) inside the container.
On the Sapelo2 cluster, singularity containers have access to the users home directory ($HOME), scratch directory (/scratch), lscratch directory (/lscratch), /tmp directory (/tmp) inside the container.
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To run Trinity 2.5.1, sample command is as below:
To run Trinity v2.5.1, sample command is as below:


<pre class="gcommand">
<pre class="gcommand">
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where COMMAND should be replaced by the command you want to use.
where COMMAND should be replaced by the command you want to use.


To run Trinity 2.8.4, sample command is as below:
To run Trinity v2.8.4, sample command is as below:


<pre class="gcommand">
<pre class="gcommand">
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</pre>
</pre>


To run Trinity 2.8.5, sample command is as below:
To run Trinity v2.8.5, sample command is as below:


<pre class="gcommand">
<pre class="gcommand">
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Example of a shell script sub.sh to run Trinity 2.8.4 on the batch partition:  
Example of a shell script sub.sh to run Trinity v2.8.4 on the batch partition:  


<pre class="gscript">
<pre class="gscript">
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</pre>  
</pre>  


Example to run script of align_and_estimate_abundance.pl:
Example to run Trinity script align_and_estimate_abundance.pl:


<pre class="gscript">
<pre class="gscript">
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[[#top|Back to Top]]
[[#top|Back to Top]]


====Trinity 2.9.1 and 2.10.0 EasyBuild Installation on Sapelo2====
 
====Trinity v2.9.1 and v2.10.0 EasyBuild Installation on Sapelo2====


*version 2.9.1 running with Python3 is installed at /apps/eb/Trinity/2.9.1-foss-2019b-Python-3.7.4
*version 2.9.1 running with Python3 is installed at /apps/eb/Trinity/2.9.1-foss-2019b-Python-3.7.4
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*version 2.10.0 running with Python3 is installed at /apps/eb/Trinity/2.10.0-foss-2019b-Python-3.7.4
*version 2.10.0 running with Python3 is installed at /apps/eb/Trinity/2.10.0-foss-2019b-Python-3.7.4


To run Trinity 2.9.1, please load the module:
To run Trinity v2.9.1, please load the module:


<pre class="gcommand">
<pre class="gcommand">
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</pre>
</pre>


To run Trinity 2.10.0, please load the module:
To run Trinity v2.10.0, please load the module:


<pre class="gcommand">
<pre class="gcommand">
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</pre>
</pre>


Example of a shell script sub.sh to run Trinity 2.10.0 on the batch partition:  
Example of a shell script sub.sh to run Trinity v2.10.0 on the batch partition:  


<pre class="gscript">
<pre class="gscript">
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</pre>  
</pre>  


Example to run script of align_and_estimate_abundance.pl:
Example to run Trinity script align_and_estimate_abundance.pl:


<pre class="gscript">
<pre class="gscript">
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=== Installation ===
=== Installation ===
   
   
 
Source is downloaded from [https://trinityrnaseq.github.io Trinity]
   
   
=== System ===
=== System ===
64-bit Linux
64-bit Linux

Revision as of 15:56, 29 October 2020

Category

Bioinformatics

Program On

Sapelo2

Version

2.5.1, 2.8.4, 2.8.5, 2.9.1, 2.10.0

Author / Distributor

Trinity is now published online at Nature Biotechnology. The Broad Institute’s blog has a story on how the Trinity project came together.

More details at Trinity

Description

From Trinity:

"Trinity, developed at the Broad Institute, represents a novel method for the efficient and robust de novo reconstruction of transcriptomes from RNA-Seq data. Trinity combines three independent software modules: Inchworm, Chrysalis, and Butterfly, applied sequentially to process large volumes of RNA-Seq reads. Trinity partitions the sequence data into many individual de Bruijn graphs, each representing the transcriptional complexity at at a given gene or locus, and then processes each graph independently to extract full-length splicing isoforms and to tease apart transcripts derived from paralogous genes. Briefly, the process works like so:

Inchworm assembles the RNA-Seq data into the unique sequences of transcripts, often generating full-length transcripts for a dominant isoform, but then reports just the unique portions of alternatively spliced transcripts.

Chrysalis clusters the Inchworm contigs into clusters and constructs complete de Bruijn graphs for each cluster. Each cluster represents the full transcriptonal complexity for a given gene (or sets of genes that share sequences in common). Chrysalis then partitions the full read set among these disjoint graphs.

Butterfly then processes the individual graphs in parallel, tracing the paths that reads and pairs of reads take within the graph, ultimately reporting full-length transcripts for alternatively spliced isoforms, and teasing apart transcripts that corresponds to paralogous genes."

Running Program

General Instructions

Also refer to Running Jobs on Sapelo2

Trinity v2.5.1, v2.8.4, v2.8.5, v2.9.1, and v2.10.0 are installed at Sapelo2.

  • Mostly trinity needs to run at large memory queue, namely highmem_p, as in the sample script below.
  • Here is a post for memory estimates. For a 4 billion base mouse, it uses about 50 GB memory at peak. performance
  • Do not ask for more than 24 CPU cores at the command and double the quantity of requesting CPU from queue. e.g. at the following, command ask for 8 CPU cores and at the header, it asks for --cpus-per-task=8.
  • Using --normalize_reads could tremendously reduce the needs of memory. For this feature, please ensure there is no space in sequence name and quality score names, and adding "/1", "/2" to sequence name to make each seq name unique for pair reads in fasta /fq header.
  • Please use the --full_cleanup option to make sure Trinity cleans up after itself. This helps a lot in keeping the number of files on Lustre storage under control.
  • If previous jobs left dir trinity_out_dir, remove it before start another trinity job.


Trinity v2.5.1, v2.8.4 and v2.8.5 Singularity Container on Sapelo2

On the Sapelo2 cluster, singularity containers have access to the users home directory ($HOME), scratch directory (/scratch), lscratch directory (/lscratch), /tmp directory (/tmp) inside the container.

All environment variables set before executing singularity command is available inside the container.


To run Trinity v2.5.1, sample command is as below:

singularity exec /apps/singularity-images/trinity-2.5.1.simg COMMAND

where COMMAND should be replaced by the command you want to use.

To run Trinity v2.8.4, sample command is as below:

singularity exec /apps/singularity-images/trinity-2.8.4.simg COMMAND

To run Trinity v2.8.5, sample command is as below:

singularity exec /apps/singularity-images/trinity-2.8.5.simg COMMAND

where COMMAND should be replaced by the command you want to use.


Example of a shell script sub.sh to run Trinity v2.8.4 on the batch partition:

#!/bin/bash
#SBATCH --job-name=j_Trinity		# Job name (j_Trinity)
#SBATCH --partition=batch		# Partition name (batch or highmem_p)
#SBATCH --ntasks=1			# Run job in single task
#SBATCH --cpus-per-task=8	 	# CPU core count per task
#SBATCH --mem=100G			# Memory per node (100GB)
#SBATCH --time=48:00:00              	# Time limit hrs:min:sec or days-hours:minutes:seconds
#SBATCH --export=NONE                   # Do not export any user’s explicit environment variables to compute node
#SBATCH --output=log.%j.out		# Standard output log
#SBATCH --error=log.%j.err		# Standard error log

#SBATCH --mail-user=username@uga.edu    # Where to send mail
#SBATCH --mail-type=ALL          	# Mail events (BEGIN, END, FAIL, ALL)

cd $SLURM_SUBMIT_DIR

singularity exec /apps/singularity-images/trinity-2.8.4.simg Trinity --seqType <string> --max_memory 100G --CPU 8 --no_version_check --full_cleanup --normalize_reads    

Example to run Trinity script align_and_estimate_abundance.pl:

#!/bin/bash
#SBATCH --job-name=j_Trinity		# Job name (j_Trinity)
#SBATCH --partition=batch		# Partition name (batch or highmem_p)
#SBATCH --ntasks=1			# Run job in single task
#SBATCH --cpus-per-task=1	 	# CPU core count per task
#SBATCH --mem=20G			# Memory per node (100GB)
#SBATCH --time=48:00:00              	# Time limit hrs:min:sec or days-hours:minutes:seconds
#SBATCH --export=NONE                   # Do not export any user’s explicit environment variables to compute node
#SBATCH --output=%x_%j.out		# Standard output log
#SBATCH --error=%x_%j.err		# Standard error log

#SBATCH --mail-user=username@uga.edu    # Where to send mail
#SBATCH --mail-type=ALL          	# Mail events (BEGIN, END, FAIL, ALL)

cd $SLURM_SUBMIT_DIR

singularity exec /apps/singularity-images/trinity-2.8.4.simg /usr/local/bin/trinityrnaseq/util/align_and_estimate_abundance.pl [options]

Where [options] need to be added as appropriate. Other parameters of the job, such as the maximum wall clock time, maximum memory, the number cores per node, and the job name need to be modified appropriately as well.

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Trinity v2.9.1 and v2.10.0 EasyBuild Installation on Sapelo2

  • version 2.9.1 running with Python3 is installed at /apps/eb/Trinity/2.9.1-foss-2019b-Python-3.7.4
  • version 2.9.1 running with Python2 is installed at /apps/eb/Trinity/2.9.1-foss-2019b-Python-2.7.16
  • version 2.10.0 running with Python3 is installed at /apps/eb/Trinity/2.10.0-foss-2019b-Python-3.7.4

To run Trinity v2.9.1, please load the module:

module load Trinity/2.9.1-foss-2019b-Python-3.7.4

or

module load Trinity/2.9.1-foss-2019b-Python-2.7.16

To run Trinity v2.10.0, please load the module:

module load Trinity/2.10.0-foss-2019b-Python-3.7.4 

Example of a shell script sub.sh to run Trinity v2.10.0 on the batch partition:

#!/bin/bash
#SBATCH --job-name=j_Trinity		# Job name (j_Trinity)
#SBATCH --partition=batch		# Partition name (batch or highmem_p)
#SBATCH --ntasks=1			# Run job in single task
#SBATCH --cpus-per-task=8	 	# CPU core count per task
#SBATCH --mem=100G			# Memory per node (100GB)
#SBATCH --time=48:00:00              	# Time limit hrs:min:sec or days-hours:minutes:seconds
#SBATCH --export=NONE                   # Do not export any user’s explicit environment variables to compute node
#SBATCH --output=log.%j.out		# Standard output log
#SBATCH --error=log.%j.err		# Standard error log

#SBATCH --mail-user=username@uga.edu    # Where to send mail
#SBATCH --mail-type=ALL          	# Mail events (BEGIN, END, FAIL, ALL)

cd $SLURM_SUBMIT_DIR

module load Trinity/2.10.0-foss-2019b-Python-3.7.4

Trinity --seqType <string> --max_memory 100G --CPU 8 --no_version_check --full_cleanup --normalize_reads    

Example to run Trinity script align_and_estimate_abundance.pl:

#!/bin/bash
#SBATCH --job-name=j_Trinity		# Job name (j_Trinity)
#SBATCH --partition=batch		# Partition name (batch or highmem_p)
#SBATCH --ntasks=1			# Run job in single task
#SBATCH --cpus-per-task=1	 	# CPU core count per task
#SBATCH --mem=20G			# Memory per node (100GB)
#SBATCH --time=48:00:00              	# Time limit hrs:min:sec or days-hours:minutes:seconds
#SBATCH --export=NONE                   # Do not export any user’s explicit environment variables to compute node
#SBATCH --output=%x_%j.out		# Standard output log
#SBATCH --error=%x_%j.err		# Standard error log

#SBATCH --mail-user=username@uga.edu    # Where to send mail
#SBATCH --mail-type=ALL          	# Mail events (BEGIN, END, FAIL, ALL)

cd $SLURM_SUBMIT_DIR

module load Trinity/2.10.0-foss-2019b-Python-3.7.4

${EBROOTTRINITY}/trinityrnaseq-v2.10.0/util/align_and_estimate_abundance.pl [options]

Where EBROOTTRINITY is the env variable storing Trinity installation pat, i.e., /apps/eb/Trinity/2.10.0-foss-2019b-Python-3.7.4; [options] need to be added as appropriate. Other parameters of the job, such as the maximum wall clock time, maximum memory, the number cores per node, and the job name need to be modified appropriately as well.

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Job Submission

Submit a job submission scprit (sub.sh) to Sapelo2:

sbacth  sub.sh

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Documentation

More details at Trinity

ml Trinity/2.10.0-foss-2019b-Python-3.7.4 
zhuofei@ss-sub2 ~$ Trinity --show_full_usage_info



###############################################################################
#

     ______  ____   ____  ____   ____  ______  __ __
    |      ||    \ |    ||    \ |    ||      ||  |  |
    |      ||  D  ) |  | |  _  | |  | |      ||  |  |
    |_|  |_||    /  |  | |  |  | |  | |_|  |_||  ~  |
      |  |  |    \  |  | |  |  | |  |   |  |  |___, |
      |  |  |  .  \ |  | |  |  | |  |   |  |  |     |
      |__|  |__|\_||____||__|__||____|  |__|  |____/

    Trinity-v2.10.0


#
#
# Required:
#
#  --seqType <string>      :type of reads: ('fa' or 'fq')
#
#  --max_memory <string>      :suggested max memory to use by Trinity where limiting can be enabled. (jellyfish, sorting, etc)
#                            provided in Gb of RAM, ie.  '--max_memory 10G'
#
#  If paired reads:
#      --left  <string>    :left reads, one or more file names (separated by commas, no spaces)
#      --right <string>    :right reads, one or more file names (separated by commas, no spaces)
#
#  Or, if unpaired reads:
#      --single <string>   :single reads, one or more file names, comma-delimited (note, if single file contains pairs, can use flag: --run_as_paired )
#
#  Or,
#      --samples_file <string>         tab-delimited text file indicating biological replicate relationships.
#                                   ex.
#                                        cond_A    cond_A_rep1    A_rep1_left.fq    A_rep1_right.fq
#                                        cond_A    cond_A_rep2    A_rep2_left.fq    A_rep2_right.fq
#                                        cond_B    cond_B_rep1    B_rep1_left.fq    B_rep1_right.fq
#                                        cond_B    cond_B_rep2    B_rep2_left.fq    B_rep2_right.fq
#
#                      # if single-end instead of paired-end, then leave the 4th column above empty.
#
####################################
##  Misc:  #########################
#
#  --include_supertranscripts      :yield supertranscripts fasta and gtf files as outputs.
#
#  --SS_lib_type <string>          :Strand-specific RNA-Seq read orientation.
#                                   if paired: RF or FR,
#                                   if single: F or R.   (dUTP method = RF)
#                                   See web documentation.
#
#  --CPU <int>                     :number of CPUs to use, default: 2
#  --min_contig_length <int>       :minimum assembled contig length to report
#                                   (def=200)
#
#  --long_reads <string>           :fasta file containing error-corrected or circular consensus (CCS) pac bio reads
#                                   (** note: experimental parameter **, this functionality continues to be under development)
#
#  --genome_guided_bam <string>    :genome guided mode, provide path to coordinate-sorted bam file.
#                                   (see genome-guided param section under --show_full_usage_info)
#
#  --jaccard_clip                  :option, set if you have paired reads and
#                                   you expect high gene density with UTR
#                                   overlap (use FASTQ input file format
#                                   for reads).
#                                   (note: jaccard_clip is an expensive
#                                   operation, so avoid using it unless
#                                   necessary due to finding excessive fusion
#                                   transcripts w/o it.)
#
#  --trimmomatic                   :run Trimmomatic to quality trim reads
#                                        see '--quality_trimming_params' under full usage info for tailored settings.
#
#  --output <string>               :name of directory for output (will be
#                                   created if it doesn't already exist)
#                                   default( your current working directory: "/home/zhuofei/trinity_out_dir" 
#                                    note: must include 'trinity' in the name as a safety precaution! )
#  
#  --full_cleanup                  :only retain the Trinity fasta file, rename as ${output_dir}.Trinity.fasta
#
#  --cite                          :show the Trinity literature citation
#
#  --verbose                       :provide additional job status info during the run.
#
#  --version                       :reports Trinity version (Trinity-v2.10.0) and exits.
#
#  --show_full_usage_info          :show the many many more options available for running Trinity (expert usage).

#
#  --no_super_reads                :turn off super-reads mode
#
#  --prep                          :Only prepare files (high I/O usage) and stop before kmer counting.
#
#  --no_cleanup                    :retain all intermediate input files.
#
#  --no_version_check              :dont run a network check to determine if software updates are available.
#
#  --monitoring                    :use collectl to monitor all steps of Trinity
#     --monitor_sec <int>          : number of seconds for each interval of runtime monitoring (default: 60)
#  
#  --no_distributed_trinity_exec   :do not run Trinity phase 2 (assembly of partitioned reads), and stop after generating command list.
#
#  --workdir <string>              :where Trinity phase-2 assembly computation takes place (defaults to --output setting).
#                                  (can set this to a node-local drive or RAM disk)     
#
####################################################
# Inchworm and K-mer counting-related options: #####
#
#  --min_kmer_cov <int>           :min count for K-mers to be assembled by
#                                  Inchworm (default: 1)
#  --inchworm_cpu <int>           :number of CPUs to use for Inchworm, default is min(6, --CPU option)
#
#  --no_run_inchworm              :stop after running jellyfish, before inchworm. (phase 1, read clustering only)
#
###################################
# Chrysalis-related options: ######
#
#  --max_reads_per_graph <int>    :maximum number of reads to anchor within
#                                  a single graph (default: 200000)
#  --min_glue <int>               :min number of reads needed to glue two inchworm contigs
#                                  together. (default: 2) 
#
#  --max_chrysalis_cluster_size <int>  :max number of Inchworm contigs to be included in a single Chrysalis cluster. (default: 25)
#
#  --no_bowtie                    :dont run bowtie to use pair info in chrysalis clustering.
#
#  --no_run_chrysalis             :stop after running inchworm, before chrysalis. (phase 1, read clustering only)
#
#####################################
###  Butterfly-related options:  ####
#
#  --bfly_algorithm <string>       : assembly algorithm to use. Options: ORIGINAL PASAFLY
#
#  --bfly_opts <string>            :additional parameters to pass through to butterfly
#                                   (see butterfly options: java -jar Butterfly.jar ).
#                                   (note: only for expert or experimental use.  Commonly used parameters are exposed through this Trinity menu here).
#
#
#  Butterfly read-pair grouping settings (used to define 'pair paths'):
#
#  --group_pairs_distance <int>    :maximum length expected between fragment pairs (default: 500)
#                                   (reads outside this distance are treated as single-end)
#
#  ///////////////////////////////////////////////
#  Butterfly default reconstruction mode settings.
#                                   
#  --path_reinforcement_distance <int>   :minimum overlap of reads with growing transcript 
#                                         path (default: PE: 25, SE: 25)
#                                         Set to 1 for the most lenient path extension requirements.
#
#
#  /////////////////////////////////////////
#  Butterfly transcript reduction settings:
#
#  --no_path_merging            : all final transcript candidates are output (including SNP variations, however, some SNPs may be unphased)  
#
#  By default, alternative transcript candidates are merged (in reality, discarded) if they are found to be too similar, according to the following logic:
#
#  (identity=(numberOfMatches/shorterLen) > 98.0% or if we have <= 2 mismatches) and if we have internal gap lengths <= 10
#
#  with parameters as:
#      
#      --min_per_id_same_path <int>          default: 98     min percent identity for two paths to be merged into single paths
#      --max_diffs_same_path <int>           default: 2      max allowed differences encountered between path sequences to combine them
#      --max_internal_gap_same_path <int>    default: 10     maximum number of internal consecutive gap characters allowed for paths to be merged into single paths.
#
#      If, in a comparison between two alternative transcripts, they are found too similar, the transcript with the greatest cumulative 
#      compatible read (pair-path) support is retained, and the other is discarded.
#
#
#  //////////////////////////////////////////////
#  Butterfly Java and parallel execution settings.
#
#  --bflyHeapSpaceMax <string>     :java max heap space setting for butterfly
#                                   (default: 10G) => yields command
#                  'java -Xmx10G -jar Butterfly.jar ... $bfly_opts'
#  --bflyHeapSpaceInit <string>    :java initial heap space settings for
#                                   butterfly (default: 1G) => yields command
#                  'java -Xms1G -jar Butterfly.jar ... $bfly_opts'
#  --bflyGCThreads <int>           :threads for garbage collection
#                                   (default: 2))
#  --bflyCPU <int>                 :CPUs to use (default will be normal 
#                                   number of CPUs; e.g., 2)
#  --bflyCalculateCPU              :Calculate CPUs based on 80% of max_memory
#                                   divided by maxbflyHeapSpaceMax
#
#  --bfly_jar <string>             : /path/to/Butterfly.jar, otherwise default
#                                    Trinity-installed version is used. 
#                                    
#
################################################################################
#### Quality Trimming Options ####  
# 
#  --quality_trimming_params <string>   defaults to: "ILLUMINACLIP:/apps/eb/Trinity/2.10.0-foss-2019b-Python-3.7.4/trinityrnaseq-v2.10.0/trinity-plugins/Trimmomatic/adapters/TruSeq3-PE.fa:2:30:10 SLIDINGWINDOW:4:5 LEADING:5 TRAILING:5 MINLEN:25"
#
################################################################################
####  In silico Read Normalization Options ###
#
#  --normalize_max_read_cov <int>       defaults to 200 
#  --normalize_by_read_set              run normalization separate for each pair of fastq files,
#                                       then one final normalization that combines the individual normalized reads.
#                                       Consider using this if RAM limitations are a consideration.
#
#  --just_normalize_reads               stop after performing read normalization
#
#  --no_normalize_reads            :Do *not* run in silico normalization of reads. Defaults to max. read coverage of 200.
#                                       see '--normalize_max_read_cov' under full usage info for tailored settings.
#                                       (Note, as of Sept 21, 2016, normalization is on by default)
#                                       (*Turning off normalization is not recommended for most applications)
#     
#
###############################################################################
#### Genome-guided de novo assembly
# 
#  * required:
#
# --genome_guided_max_intron <int>     :maximum allowed intron length (also maximum fragment span on genome)
#
#  * optional:
#
# --genome_guided_min_coverage <int>   :minimum read coverage for identifying and expressed region of the genome. (default: 1)
#
# --genome_guided_min_reads_per_partition <int>   :default min of 10 reads per partition
#
#
#######################################################################
# Trinity phase 2 (parallel assembly of read clusters) Options: #######
#
#  --grid_exec <string>                 :your command-line utility for submitting jobs to the grid.
#                                        This should be a command line tool that accepts a single parameter:
#                                        ${your_submission_tool} /path/to/file/containing/commands.txt
#                                        and this submission tool should exit(0) upon successful 
#                                        completion of all commands.
#
#  --grid_node_CPU <int>                number of threads for each parallel process to leverage. (default: 1)
#
#  --grid_node_max_memory <string>         max memory targeted for each grid node. (default: 1G)
#
#            The --grid_node_CPU and --grid_node_max_memory are applied as 
#              the --CPU and --max_memory parameters for the Trinity jobs run in 
#              Trinity Phase 2 (assembly of read clusters)
#
#  --FORCE                               ignore failed commands from earlier run, continue on. 
#                                          (Note, this should only be used after you've
#                                           already dealt with these failed commands directly as needed)
#
    #
#
###############################################################################
#
#  *Note, a typical Trinity command might be:
#
#        Trinity --seqType fq --max_memory 50G --left reads_1.fq  --right reads_2.fq --CPU 6
#
#            (if you have multiple samples, use --samples_file ... see above for details)
#
#    and for Genome-guided Trinity, provide a coordinate-sorted bam:
#
#        Trinity --genome_guided_bam rnaseq_alignments.csorted.bam --max_memory 50G
#                --genome_guided_max_intron 10000 --CPU 6
#
#     see: /apps/eb/Trinity/2.10.0-foss-2019b-Python-3.7.4/trinityrnaseq-v2.10.0/sample_data/test_Trinity_Assembly/
#          for sample data and 'runMe.sh' for example Trinity execution
#
#     For more details, visit: http://trinityrnaseq.github.io
#
###############################################################################

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Installation

Source is downloaded from Trinity

System

64-bit Linux