Comments (2)
Ah I see, that makes sense. I will let you know if I notice any big discrepancies. Thanks.
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Dear User,
Yes, the distance cutoff for PETs to estimate candidate loop significance was set to 0, this is a intended behavior.
Before that setting, loops were filtered by the estimated self-ligation distance
Line 281 in 3ea8b4c
Why I set this cut to 0:
1) It will indeed slow down the programme for estimation of candidate loop significance, drawback;
2) If cut was estimated too big, such as 100k, then loops with distance like 120k will be all significant.
3) Using 0 will call a fewer more reliable loops, especially for Trac-looping data.
4) If cut was estimated too high, the distant loops with wider anchor length will be easy to get significant, however is visually check in heatmap, not that obvious.
Please let me know if you have any more concern. If cut > 0 indeed work well in your data, please let me know.
Best,
Yaqiang
It seems like in a recent commit the threshold to distinguish inter-ligation and self-ligation PETs was set to 0 regardless of the input data. Is this the intended behavior?
Line 284 in 3ea8b4c
from cloops.
Related Issues (20)
- Input format HOT 1
- Some details about the parameter 'eps' HOT 4
- adjust parameters to increase/decrease stringency HOT 5
- calling loops on a .hic file HOT 5
- HiC input from TADbit HOT 3
- tuning parameters for stripe calls ( callStripes ) HOT 4
- joblib error HOT 5
- Conda env create issue HOT 8
- OpenSSL HOT 1
- cLopps hang for more than 24 hours HOT 1
- How to plot the loops in WashU HOT 1
- hicpro2bedpe bug HOT 9
- ERROR: no inter-ligation PETs detected for eps 5000 minPts 50,can't model the distance cutoff,continue anyway HOT 17
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- call stripe example file has error HOT 1
- cLoops differential loop calling HOT 1
- using cloops from Juicer HOT 2
- Loops Visualization HOT 4
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