csaw normalization and library size
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@nicolas-servant-1466
Last seen 19 months ago
France

Hi all,

I have a short question about TMM normalization in csaw.

I would like to normalize ChIP-seq histone marks data, and compare samples (WT vs KO).

Before starting, I have my bam files, and results from peak calling. Here is my plan ;

1- Run bin counts over large genomic bins (10kb), where peaks locations were removed. So basically, the idea is to count over the background only (using windowCounts)

2- Counts the reads on peak regions (using regionCounts)

3- Normalize the peak counts using the scaling factors calculated on background only

counts.peaks <- normOffsets(counts.bg, se.out=counts.peaks)

However, here, I have an issue with the library size.

Error in .local(object, ...) :
  library sizes of 'se.out' and 'object' are not identical

The message is clear, but how can I fix it ?

Any feedback is welcome.

Best. Nicolas

 

chip-seq normalization • 437 views
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Entering edit mode
Aaron Lun ★ 27k
@alun
Last seen 55 minutes ago
The city by the bay

This shouldn't happen if you used the same readParam object in both regionCounts and windowCounts. In fact, that's the primary purpose of having the readParam class in the first place. The only possibility I can think of is if one of the totals is integer and the other is double-precision. You can check this easily enough with:

identical(counts.bg$totals, counts.peaks$totals)
all.equal(counts.bg$totals, counts.peaks$totals)

If the latter is TRUE and the former is not, then it's a type issue. If neither are TRUE, then I would guess that you didn't use the same readParam in the two *Counts calls. If both are TRUE... well, then we wouldn't have any problems.

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Entering edit mode

Thanks for your feedback.

Finally, I change a bit my code to use windowCounts on all genomic bins, and them removing bins overlapping peaks with the overlap function. That's way, I'm sure the lib.size is always based on the full genome information, with the same lib;size

Thanks again


 

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