Source: mosdepth Section: science Priority: optional Maintainer: Debian Med Packaging Team Uploaders: Steffen Moeller , Nilesh Patra Build-Depends: debhelper-compat (= 13), nim, nim-docopt-dev, nim-regex-dev, nim-hts-dev, help2man, samtools, libhts-dev Standards-Version: 4.5.0 Vcs-Browser: https://salsa.debian.org/med-team/mosdepth Vcs-Git: https://salsa.debian.org/med-team/mosdepth.git Homepage: https://github.com/brentp/mosdepth Rules-Requires-Root: no Package: mosdepth Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends} Description: BAM/CRAM depth calculation biological sequencing Many small reads are produced by high-throughput "next generation" sequencing technologies. The final sequence is derived from how these reads are overlapping towards a consensus. The more reads are covering/confirming parts of a nucleotide seq, the higher the confidence is. Too many reads would be indicative of e.g. repeats in the genome. . mosdepth can output: * per-base depth about 2x as fast samtools depth--about 25 minutes of CPU time for a 30X genome. * mean per-window depth given a window size--as would be used for CNV calling. * the mean per-region given a BED file of regions. * a distribution of proportion of bases covered at or above a given threshold for each chromosome and genome-wide. * quantized output that merges adjacent bases as long as they fall in the same coverage bins e.g. (10-20) * threshold output to indicate how many bases in each region are covered at the given thresholds. when appropriate, the output files are bgzipped and indexed for ease of use. Package: mosdepth-examples Architecture: all Depends: ${misc:Depends} Description: Test data for mosdepth Many small reads are produced by high-throughput "next generation" sequencing technologies. The final sequence is derived from how these reads are overlapping towards a consensus. The more reads are covering/confirming parts of a nucleotide seq, the higher the confidence is. Too many reads would be indicative of e.g. repeats in the genome. . mosdepth can output: * per-base depth about 2x as fast samtools depth--about 25 minutes of CPU time for a 30X genome. * mean per-window depth given a window size--as would be used for CNV calling. * the mean per-region given a BED file of regions. * a distribution of proportion of bases covered at or above a given threshold for each chromosome and genome-wide. * quantized output that merges adjacent bases as long as they fall in the same coverage bins e.g. (10-20) * threshold output to indicate how many bases in each region are covered at the given thresholds. when appropriate, the output files are bgzipped and indexed for ease of use. . This package contains a test data set as well as sample scripts running some test suite provided by Debian also as autopkgtest.