Hi,
in order to process our D. melanogaster iCLIP library, I used snakemake to put the iCount steps together and integrated benchmarking, specifically for iCount xlsites with quantification based on cDNA and reads.
Here, I am observing runtimes of ~1 - 4 days on our cluster system for iCount xlsites. The number of reads per multiplexing barcode is quite variable, which correlates with runtime.
In terms of parameters, I use
- --group_by start
- mapq_th 3
using the output gtf from iCount segment
I wonder what - next to total number of mapped reads - determines the runtime of iCount xlsites and whether there are some useful pre-filtering strategies of the BAM files to speed up the process without losing (too much) sensitivity.
Cheers
Hi,
in order to process our D. melanogaster iCLIP library, I used snakemake to put the iCount steps together and integrated benchmarking, specifically for
iCount xlsiteswith quantification based on cDNA and reads.Here, I am observing runtimes of ~1 - 4 days on our cluster system for
iCount xlsites. The number of reads per multiplexing barcode is quite variable, which correlates with runtime.In terms of parameters, I use
using the output gtf from
iCount segmentI wonder what - next to total number of mapped reads - determines the runtime of
iCount xlsitesand whether there are some useful pre-filtering strategies of the BAM files to speed up the process without losing (too much) sensitivity.Cheers