Correct Interval Coverage data for overall number of raw reads

Question

[AP]

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!

Answer 1

[AP]

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... :)