Open hsriniva11 opened 3 years ago
Hi,
Apologies for the delay in responding here. You're correct that 0.6 corresponds to the top 60% of "signal blocks", i.e. regions of contiguous signal. In that sense the numeric threshold is a very simplistic approach that really just has to be adjusted based on your intuition of whether the peaks "look" real or not in a genome browser or by some other metric, just as you might do quality spot checking for any peak calling approach. One thing you might try is to plot the fraction of reads in peaks (FRiP, i.e. the percentage of reads mapping within peaks out of total reads in the sample) across different thresholds to observe whether there is an inflection point or "knee" in the curve at which you're simultaneously maximizing the FRiP while minimizing the percentile.
As for the relaxed mode issue, can you specify the exact command you're running? It appears to be a bug but currently I can't replicate the issue in SEACR v1.4 with my test files.
Mike
Hi,
I am having the same issue when it comes to the relaxed mode where I am getting the same number of peaks no matter how I change the threshold values.
Thanks
Hi, I have CUT&RUN samples but no IgG. I'm not quite sure what numerical threshold to provide. My understanding is if I give the threshold as 0.6, it reports peaks in the top 60% correct? Keeping this in mind, these are the number of peaks I get for varying thresholds. I'm not able to decide on the optimum value. How do you suggest I proceed from here?
Also, I get the same number of peaks in the relaxed cutoff regardless of the numerical threshold
Thanks!