Comments (1)
Hi!
I haven't tried myself which such long peaks, but I guess that it can affect it indeed. We normally use the binarized matrix (by default that you have al least 1 read in the peak) so with such long regions it is possible that you may find at least a read by chance.
What we are mostly using right now to avoid using directly bulk peaks (since by doing this you may loose peaks of rare populations) is to use the SCREEN regions (for mouse/human: https://www.nature.com/articles/s41586-020-2493-4) and cisTarget regions (for drosophila, these ones are within the package , you can load them with data("dm6_CtxRegions")
). Then after this first clustering you can always call consensus peaks and rerun.
I hope this is useful!
C
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