Velvet-Teaching

Category

Bioinformatics

Program On

Teaching

Version

1.2.10

Author / Distributor

Velvet

Description

"Sequence assembler for very short reads" More details are at Velvet

Running Program

The last version of this application is at /usr/local/apps/eb/Velvet/1.2.10-foss-2016b-mt-kmer_100-Perl-5.24.1

To use this version, please load the module with

ml Velvet/1.2.10-foss-2016b-mt-kmer_100-Perl-5.24.1 

Here is an example of a shell script, sub.sh, to run on the batch queue:

#!/bin/bash
#SBATCH --job-name=j_Velvet
#SBATCH --partition=batch
#SBATCH --mail-type=ALL
#SBATCH --mail-user=username@uga.edu
#SBATCH --ntasks=1
#SBATCH --mem=10gb
#SBATCH --time=08:00:00
#SBATCH --output=Velvet.%j.out

cd $SLURM_SUBMIT_DIR
ml Velvet/1.2.10-foss-2016b-mt-kmer_100-Perl-5.24.1
velveth [options]

In the real submission script, at least all the above underlined values need to be reviewed or to be replaced by the proper values.

Please refer to Running_Jobs_on_the_teaching_cluster, Run X window Jobs and Run interactive Jobs for more details of running jobs at Teaching cluster.

Here is an example of job submission command:

sbatch ./sub.sh 

Documentation

ml Velvet/1.2.10-foss-2016b-mt-kmer_100-Perl-5.24.1 
velveth velveth --help
velveth - simple hashing program
Version 1.2.10

Copyright 2007, 2008 Daniel Zerbino (zerbino@ebi.ac.uk)
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

Compilation settings:
CATEGORIES = 2
MAXKMERLENGTH = 100
OPENMP

Usage:
./velveth directory hash_length {[-file_format][-read_type][-separate|-interleaved] filename1 [filename2 ...]} {...} [options]

	directory	: directory name for output files
	hash_length	: EITHER an odd integer (if even, it will be decremented) <= 100 (if above, will be reduced)
			: OR: m,M,s where m and M are odd integers (if not, they will be decremented) with m < M <= 100 (if above, will be reduced)
				and s is a step (even number). Velvet will then hash from k=m to k=M with a step of s
	filename	: path to sequence file or - for standard input

File format options:
	-fasta	-fastq	-raw	-fasta.gz	-fastq.gz	-raw.gz	-sam	-bam	-fmtAuto
	(Note: -fmtAuto will detect fasta or fastq, and will try the following programs for decompression : gunzip, pbunzip2, bunzip2

File layout options for paired reads (only for fasta and fastq formats):
	-interleaved	: File contains paired reads interleaved in the one file (default)
	-separate	: Read 2 separate files for paired reads

Read type options:
	-short	-shortPaired
	-short2	-shortPaired2
	-long	-longPaired
	-reference

Options:
	-strand_specific	: for strand specific transcriptome sequencing data (default: off)
	-reuse_Sequences	: reuse Sequences file (or link) already in directory (no need to provide original filenames in this case (default: off)
	-reuse_binary	: reuse binary sequences file (or link) already in directory (no need to provide original filenames in this case (default: off)
	-noHash			: simply prepare Sequences file, do not hash reads or prepare Roadmaps file (default: off)
	-create_binary  	: create binary CnyUnifiedSeq file (default: off)

Synopsis:

- Short single end reads:
	velveth Assem 29 -short -fastq s_1_sequence.txt

- Paired-end short reads (remember to interleave paired reads):
	velveth Assem 31 -shortPaired -fasta interleaved.fna

- Paired-end short reads (using separate files for the paired reads)
	velveth Assem 31 -shortPaired -fasta -separate left.fa right.fa

- Two channels and some long reads:
	velveth Assem 43 -short -fastq unmapped.fna -longPaired -fasta SangerReads.fasta

- Three channels:
	velveth Assem 35 -shortPaired -fasta pe_lib1.fasta -shortPaired2 pe_lib2.fasta -short3 se_lib1.fa

Output:
	directory/Roadmaps
	directory/Sequences
		[Both files are picked up by graph, so please leave them there]

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Installation

Source code is obtained from Velvet

System

64-bit Linux