GC bias metrics for the congruently/non-congruently classified samples between array/WGS and original coverage and downsampled WGS-derived data

This file contain GC bias metrics for all the samples (n = 67). The data was derived using the CollectGcBiasMetrics tool from Picard tools (https://broadinstitute.github.io/picard/). The GC bias metrics include AT_DROPOUT, representing how undercovered regions with GC content less than 50% are compared to the mean coverage; GC_DROPOUT, representing how undercovered regions with GC content greater than 50% are compared to the mean coverage; GC_NC_0_19, representing normalized coverage over quintile of GC content ranging from 0%–19%; GC_NC_20_39, representing normalized coverage over quintile of GC content ranging from 20%–39%; GC_NC_40_59, representing normalized coverage over quintile of GC content ranging from 40%–59%; GC_NC_60_79, representing normalized coverage over quintile of GC content ranging from 60%–79% and GC_NC_80_100, representing normalized coverage over quintile of GC content ranging from 80%–100. The Type column indicates whether the sample relates to the tumour or normal tissue of a given donor. The Congruency column indicates whether a given sample was congruently (con) v/s non-congruently classified (ncon) classified between original and downsampled WGS data. The Metric column indicates the GC bias metric of interest. The value column provides the numerical value of the GC bias metric of interest for the tumour or normal sample of a particular donor.<br>