Source: pirs Maintainer: Debian Med Packaging Team Uploaders: Andreas Tille Section: science Priority: optional Build-Depends: debhelper-compat (= 13), libboost-dev, zlib1g-dev, libgzstream-dev Standards-Version: 4.6.1 Vcs-Browser: https://salsa.debian.org/med-team/pirs Vcs-Git: https://salsa.debian.org/med-team/pirs.git Homepage: https://github.com/galaxy001/pirs Rules-Requires-Root: no Package: pirs Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends}, pirs-profiles, fonts-liberation, gnuplot Description: Profile based Illumina pair-end Reads Simulator The program pIRS can be used for simulating Illumina PE reads, with a series of characters generated by Illumina sequencing platform, such as insert size distribution, sequencing error(substitution, insertion, deletion), quality score and GC content-coverage bias. . The insert size follows a normal distribution, so users should set the mean value and standard deviation. Usually the standard deviation is set as 1/20 of the mean value. The normal distribution by Box-Muller method is simulated. . The program simulates sequencing error, quality score and GC content- coverage bias according to the empirical distribution profile. Some default profiles counted from lots of real sequencing data are provided. . To simulate reads from diploid genome, users should simulate the diploid genome sequence firstly by setting the ratio of heterozygosis SNP, heterozygosis InDel and structure variation. Package: pirs-profiles Architecture: all Depends: ${misc:Depends} Multi-Arch: foreign Description: profile basd Illumina pair-end Reads Simulator (profile data) The program pIRS can be used for simulating Illumina PE reads, with a series of characters generated by Illumina sequencing platform, such as insert size distribution, sequencing error(substitution, insertion, deletion), quality score and GC content-coverage bias. . The insert size follows a normal distribution, so users should set the mean value and standard deviation. Usually the standard deviation is set as 1/20 of the mean value. The normal distribution by Box-Muller method is simulated. . The program simulates sequencing error, quality score and GC content- coverage bias according to the empirical distribution profile. Some default profiles counted from lots of real sequencing data are provided. . To simulate reads from diploid genome, users should simulate the diploid genome sequence firstly by setting the ratio of heterozygosis SNP, heterozygosis InDel and structure variation. . This package contains the profile data. Package: pirs-examples Architecture: all Depends: ${misc:Depends} Multi-Arch: foreign Description: profile basd Illumina pair-end Reads Simulator (example data) The program pIRS can be used for simulating Illumina PE reads, with a series of characters generated by Illumina sequencing platform, such as insert size distribution, sequencing error(substitution, insertion, deletion), quality score and GC content-coverage bias. . The insert size follows a normal distribution, so users should set the mean value and standard deviation. Usually the standard deviation is set as 1/20 of the mean value. The normal distribution by Box-Muller method is simulated. . The program simulates sequencing error, quality score and GC content- coverage bias according to the empirical distribution profile. Some default profiles counted from lots of real sequencing data are provided. . To simulate reads from diploid genome, users should simulate the diploid genome sequence firstly by setting the ratio of heterozygosis SNP, heterozygosis InDel and structure variation. . This package contains some example data.