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Hi all, I am wondering what is the input for macs2 in the pipeline. From what I can see, if I choose macs2 as peakcaller, it uses the bam files, which is not normalsied by spike-in. SEACR used the bed files output from bamcoverage, which have been normalised to spike-in. Does it mean the output from MACS2 are actually skipped spike-in normalisation? Thanks.
A previous issue in MACS github give some ideas using 'bdgopt' subcommand macs3-project/MACS#356
The text was updated successfully, but these errors were encountered:
I missed this somehow sorry, we spike-in normalise for both peak callers if that feature is active. The normalisation happens at the conversion from bam to bedgraph.
Description of feature
Hi all, I am wondering what is the input for macs2 in the pipeline. From what I can see, if I choose macs2 as peakcaller, it uses the bam files, which is not normalsied by spike-in. SEACR used the bed files output from bamcoverage, which have been normalised to spike-in. Does it mean the output from MACS2 are actually skipped spike-in normalisation? Thanks.
A previous issue in MACS github give some ideas using 'bdgopt' subcommand
macs3-project/MACS#356
The text was updated successfully, but these errors were encountered: