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Please see #47 (comment). Summarizing the salient point:
I usually do the following order of calls:
bsseq::read.bismark()
tile_by_windows()
filter_loci_by_coverage()
filter_loci_by_group_coverage()
diff_methylsig()
All those extra loci are regions with no signal in them. The tiling function is a little "dumb" in the sense that it doesn't filter out non-zero regions for you, so you should run filter_loci_by_group_coverage() after tiling.
Hi,
I am using MethylSig v1.0.0 on RRBS data. I have a problem with the tile_by_windows() function. I ran tile_by_windows() on this bsseq object :
Then I applied:
windowed_bs <- tile_by_windows(bs = bs, win_size = 25)
And I obtained the following bsseq object:
I don't understand why I have more methylation loci after tilling than before.
Do you have an explanation?
Thank you
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