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Correct Interval Coverage data for overall number of raw reads
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18 months ago
AP • 90

Hello,

I have two datasets with Interval Coverage metrics that I would like to compare. However, both datasets have a significant different amount of raw reads. I would like to normalise or correct for this different amount of raw reads in order to make the interval data coverage comparable.

Any suggestions? I thought of correcting for an effect of raw reads or standardized all of the interval coverage data.

Any help would be greatly appreciated.

Thank you!

sequencing • 182 views
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Entering edit mode
18 months ago
AP • 90

Two ways of doing it:

  1. Downsizing: can be done using samb: http://lomereiter.github.io/sambamba/
  2. Normalise the data to a mean of zero and sd of 1

I guess I answered my own question... :)

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