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First of all, every time I go back to working with muon it gets better and better, so thanks for the great work!
I was wondering whether you had thought of adding a muon.atac.pp function to compute GC content of peaks. This is frequently used for peak-gene association testing (e.g. here), and as far as I am aware there is no easy functionality in python for this (I've always used addGCBias from chromVAR in R).
The text was updated successfully, but these errors were encountered:
Thanks for raising this, we plan to improve how peak sequences are operated indeed. That should include GC content.
Currently, there's ac.tl.get_sequences to get a list of strings (a sequence for each peak) and one can start with calculating G and C fractions from that. (We will probably refactor things here but a similar function will still be available.)
Hi there,
First of all, every time I go back to working with muon it gets better and better, so thanks for the great work!
I was wondering whether you had thought of adding a
muon.atac.pp
function to compute GC content of peaks. This is frequently used for peak-gene association testing (e.g. here), and as far as I am aware there is no easy functionality in python for this (I've always usedaddGCBias
fromchromVAR
in R).The text was updated successfully, but these errors were encountered: