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.