GcBiasSummaryMetrics

Metrics

Category Metrics


Overview

High level metrics that capture how biased the coverage in a certain lane is. @author Tim Fennell

This table summarizes the values that are specific to this metric.

Metric Summary
ACCUMULATION_LEVEL
READS_USED
This option is used to mark including or excluding duplicates.
WINDOW_SIZE
The window size on the genome used to calculate the GC of the sequence.
TOTAL_CLUSTERS
The total number of clusters that were seen in the gc bias calculation.
ALIGNED_READS
The total number of aligned reads used to compute the gc bias metrics.
AT_DROPOUT
Illumina-style AT dropout metric. Calculated by taking each GC bin independently and calculating (%ref_at_gc - %reads_at_gc) and summing all positive values for GC=[0..50].
GC_DROPOUT
Illumina-style GC dropout metric. Calculated by taking each GC bin independently and calculating (%ref_at_gc - %reads_at_gc) and summing all positive values for GC=[50..100].
GC_NC_0_19
Normalized coverage over quintile of GC content ranging from 0 - 19.
GC_NC_20_39
Normalized coverage over each quintile of GC content ranging from 20 - 39.
GC_NC_40_59
Normalized coverage over each quintile of GC content ranging from 40 - 59.
GC_NC_60_79
Normalized coverage over each quintile of GC content ranging from 60 - 79.
GC_NC_80_100
Normalized coverage over each quintile of GC content ranging from 80 - 100.

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GATK version 4.6.2.0 built at Sun, 13 Apr 2025 13:21:43 -0400.