HTSeq is a Python package that provides infrastructure to process data from high-throughput sequencing assays. It is developed by Simon Anders at EMBL Heidelberg.
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 htseq [user@cn3144 ~]$ htseq-count input.sam input.gff [user@cn3144 ~]$ exit salloc.exe: Relinquishing job allocation 46116226 [user@biowulf ~]$
Create a batch input file (e.g. htseq.sh). For example:
#!/bin/bash set -e module load htseq htseq-count input.sam input.gff
Submit this job using the Slurm sbatch command.
sbatch [--mem=#] htseq.sh
Create a swarmfile (e.g. htseq.swarm). For example:
cd dir1; htseq-count input.sam input.gff cd dir2; htseq-count input.sam input.gff cd dir3; htseq-count input.sam input.gff cd dir4; htseq-count input.sam input.gff
Submit this job using the swarm command.
swarm -f htseq.swarm [-t #] --module htseqwhere
-g # | Number of Gigabytes of memory required for each process (1 line in the swarm command file) |
--module htseq | Loads the htseq module for each subjob in the swarm |