Calculated coverage metrics from a GATK3 Depth Of Coverage file and a bedfile
Given i) a tabix indexed per-base 'depth of coverage' file (similar to generated in GATK3) and , ii) a bed file CoverageCalculatorPy will generate four text reports:
- .coverage file containing the mean depth of coverage across each interval in the bedfile, and the percentage of bases which meet a given depth (default is 100x) across each interval.
- .totalcoverage file containing the the same metrics above summerised over all intervals in the given bedfile. Summeries of adittional subsets of the input bedfile can be included using --groups (see below)
- .gaps file contains intervals which do not meet the given depth of coverage threshold
- .missing file contains intervals which do not have a corresponding coordinate in the 'depth of coverage' file, and therefore cannot be evaluated.
path to tabix indexed depth-of-coverage file
path to bedfile. Chromosomes must not be prefixed with 'chr'
depth threshold for precentage horizontal coverage calculation (default: 100)
output name to prefix on text reports (default: output)
directory to save output files to (default: current)
path to groupfile (see below)
Tabix indexing a GATK3 DepthOfCoverage file
The 'depth of coverage' file must be tabix indexed. The first three columns of the depthfile must be; chromosome, coordinate and depth. A file generated in GATK3 can be indexed as follows:
sed 's/:/\t/g' <GATK depthOfCoverage file> | grep -v 'Locus' | sort -k1,1 -k2,2n | bgzip > <filename.gz> (on macOS) sed "s/:/$(printf '\t')/g" <GATK depthOfCoverage file> | grep -v 'Locus' | sort -k1,1 -k2,2n | bgzip > <filename.gz> tabix -b 2 -e 2 -s 1 <filename.gz>
Adding a groupfile
The groupfile is a way of generating combined metrics across a number of intervals (i.e. combined across all exons in a gene). These metrics will appear in the .totalcoverage file. The groupfile must have a header (this will be included in the output), be a single column containing the same number of rows as the bedfile it will be analysed with.
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