GC bias metrics for the three downsampled samples that failed to run on ascatNgs
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https://figshare.com/articles/GC_bias_metrics_for_the_three_downsampled_samples_that_failed_to_run_on_ascatNgs/9810221/2
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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 ASCAT column indicates whether ascatNgs ran on all tiers of downsampling (PASS) or failed at least in one of the downsampling tier (FAILED) for the paired normal tumour samples. 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.
提供机构:
Qinying Xu
创建时间:
2020-05-08



