Comments (4)
- That appears to be the methylation bias output, which is the text version of plots like https://camo.githubusercontent.com/95b03c9e48fbc805138562571b7a326c5636ddce29b2cc62ee57e4b366040982/68747470733a2f2f7261776769742e636f6d2f64707279616e37392f4d657468796c4461636b656c2f6d61737465722f6578616d706c655f4f542e737667 I assume nf-core put the actual methylation metrics elsewhere.
- That is all of the chromosomes, which you need to look at to know if there are portions of your reads that should be ignored.
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Ask the nf-core folks where to find the actual per-base methylation metrics. They're normally named something_CpG.bedGraph, but they may have changed that.
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Well. I know the file you refer. In my test it's named 5_BKDL220006759-1a.sorted.markDups_CpG.bedGraph and looks like the following:
track type="bedGraph" description="5_BKDL220006759-1a.sorted.markDups CpG methylation levels"
chr1 16555 16556 100 1 0
chr1 16570 16571 100 1 0
chr1 16617 16618 100 1 0
chr1 16619 16620 100 1 0
chr1 16634 16635 100 1 0
chr1 16646 16647 100 1 0
chr1 16665 16666 100 1 0
chr1 16667 16668 100 1 0
chr1 17378 17379 100 1 0
So, if I well understand, this is the file containing the methylation metrics needed for further analysis.
Thank you
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Correct, glad things got cleared up!
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Related Issues (20)
- Understanding --minConversionEfficiency argument HOT 1
- Genome browsing from MethylDackel bedGraphCpG file
- per-fragment methylation HOT 2
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- CURL_OPENSSL conflict with samtools HOT 3
- Installation failure: "bigWig.h: No such file or directory" HOT 1
- Clarification on definition of "unmethylated C" HOT 1
- Coverage of C sites HOT 1
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- Does indel effect the methylation calling or C context determination HOT 1
- Positions in cytosine_report did not match the regions in providing bed file
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- Could not repeat a CpG extraction with the same reference file and its index HOT 1
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- How to index genome file for MethylDackel? HOT 1
- Confused regarding CTOT, CTOB. Are there suggested values? HOT 3
- Issue running MethylDackel extract in parallel mode using minConversionEfficiency
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