feat: Small CLP for collecting the histogram of unique UMIs counts within duplicate sets #1999
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Description
This tool collects the Histogram of the number of duplicate sets that contain a given number of UMIs.
Understanding this distribution can help understand the role that the UMIs have in the determination of consensus sets, the risk of UMI collisions, and of spurious reads that result from uncorrected UMIs.
test and documentation included
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