Comments (4)
Hi,
there is a brief description of the genomeLoad options in the last chapter of the manual (see below). I agree that a more detailed description could be useful.
Cheers
Alex
genomeLoad NoSharedMemory
string: mode of shared memory usage for the genome files
LoadAndKeep ... load genome into shared and keep it in memory after run
LoadAndRemove ... load genome into shared but remove it after run
LoadAndExit ... load genome into shared memory and exit, keeping the genome in memory for future runs
Remove ... do not map anything, just remove loaded genome from memory
NoSharedMemory ... do not use shared memory, each job will have its own private copy of the genome
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Thanks for the answer. Your alignment method is really lightning fast,
it was quite a change from bowtie/samtools.
My only issue was that with the genomeLoad option enabled, you need to
specify an amount of RAM from BAM sorting. I was not too sure of the
amount of RAM needed in total (for storing the genome+ other operations:
alignment and sorting), so I asked for an unsorted output and used
samtools afterwards. It does not seem to be really efficient.
With a 32Gb RAM and a genome index of maybe 10Gb, would the sorting have
been possible with the LoadAndKeep option? I had to do ~12 samples with
the same genome, ~50M reads each.
Thanks for any precisions
Cyril Cros
Le 3/10/2015 9:09 PM, alexdobin a écrit :
ared memory usage for the genome files
LoadAndKeep ... load
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Since 2.4.0k, the sorting algorithm has been re-worked and requires much less RAM. Try it with 10GB allocated for sorting: --genomeLoad LoadAndKeep --limitBAMsortRAM 10000000000
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Thanks a lot,
I will be doing some new runs shortly.
Regards,
Cyril Cros
Le 4/21/2015 9:37 PM, alexdobin a écrit :
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Reply to this email directly or view it on GitHub
#27 (comment).
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