Hi! I am counting ChIP-seq files and comparing the whole-genome binding peaks of two proteins. I see a low over-lap on heat maps (less than 10% and strong peaks of 1 protein overlap with not strongest or weak peaks of 2nd protein), but when I use "bedtools Intersect intervals" tool it gives me a peaks that I don't see in IGV after making bigwig files. How can I set up the threshold to remove such false peaks from counting. I tried to set Mapq 40 instead of 5 while filtering Bam files, but nothing actually changed. Also I tried different ways to count bigwigs, but the peaks present in bed files are not visible in bigwigs.
I suggest that the peaks that overlap are not important, but want to find a way to remove them from the count list.
Would be great if you could help me.
Thank you in advance,
Sincerely,
Mary
2 answers
For the MACS2 callpeak I use the following conditions: Set lower mfold bound - 5 Set upper mfold bound - 50 Band width for picking regions to compute fragment size - 350 Peak detection based on q-value Minimum FDR (q-value) cutoff for peak detection - 0,01
Thanks in advance!
I quess the problem is that I don't see the weak peaks in bigwigs, but they are counted in bed files. I there some approach to get bigwigs to be exactly comparable with beds? Thanks!
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