Closed bakerwm closed 4 years ago
If I have multiple samples to run mapping in parallel, I could use --genomeLoad LoadAndKeep to save memory by sharing the index in memory.
--genomeLoad LoadAndKeep
How about changing the following parameter in star.py?
star.py
The default:
--genomeLoad NoSharedMemory do not use shared memory, each job will have its own private copy of the genome
Adjust:
--genomeLoad LoadAndRemove load genome into shared but remove it after run
Good point. Would you be able to make a PR with suggested change?
ok, I will try to make a PR. @JureZmrzlikar
Please check the PR #170 . I added two lines in star.py @JureZmrzlikar
If I have multiple samples to run mapping in parallel, I could use
--genomeLoad LoadAndKeep
to save memory by sharing the index in memory.How about changing the following parameter in
star.py
?The default:
Adjust: