TransDecoder identifies candidate coding regions within transcript sequences, such as those generated by de novo RNA-Seq transcript assembly using Trinity, or constructed based on RNA-Seq alignments to the genome using Tophat and Cufflinks.
TransDecoder identifies likely coding sequences based on the following criteria:
Allocate an interactive session and run the program. Sample session:
[user@biowulf]$ sinteractive salloc.exe: Pending job allocation 46116226 salloc.exe: job 46116226 queued and waiting for resources salloc.exe: job 46116226 has been allocated resources salloc.exe: Granted job allocation 46116226 salloc.exe: Waiting for resource configuration salloc.exe: Nodes cn3144 are ready for job [user@cn3144 ~]$ module load TransDecoder [user@cn3144 ~]$ cp $TRANSDECODER_EXAMPLES/simple_transcriptome_target/* . [user@cn3144 ~]$ ./runMe.sh [user@cn3144 ~]$ exit salloc.exe: Relinquishing job allocation 46116226 [user@biowulf ~]$
Create a batch input file (e.g. TransDecoder.sh). For example:
#!/bin/bash module load TransDecoder cufflinks_gtf_genome_to_cdna_fasta.pl transcripts.gtf test.genome.fasta > transcripts.fasta
Submit this job using the Slurm sbatch command.
sbatch [--cpus-per-task=#] [--mem=#] TransDecoder.sh
Create a swarmfile (e.g. TransDecoder.swarm). For example:
TransDecoder.LongOrfs -t target_transcripts1.fasta TransDecoder.LongOrfs -t target_transcripts2.fasta TransDecoder.LongOrfs -t target_transcripts3.fasta TransDecoder.LongOrfs -t target_transcripts4.fasta
Submit this job using the swarm command.
swarm -f TransDecoder.swarm [-g #] [-t #] --module TransDecoderwhere
-g # | Number of Gigabytes of memory required for each process (1 line in the swarm command file) |
-t # | Number of threads/CPUs required for each process (1 line in the swarm command file). |
--module TransDecoder | Loads the TransDecoder module for each subjob in the swarm |