Source: chip-seq Maintainer: Debian Med Packaging Team Uploaders: Andreas Tille Section: science Priority: optional Build-Depends: debhelper-compat (= 12) Standards-Version: 4.5.0 Vcs-Browser: https://salsa.debian.org/med-team/chip-seq Vcs-Git: https://salsa.debian.org/med-team/chip-seq.git Homepage: https://ccg.epfl.ch//chipseq Rules-Requires-Root: no Package: chip-seq Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends}, chip-seq-data, libmath-round-perl Description: tools performing common ChIP-Seq data analysis tasks The ChIP-Seq software provides a set of tools performing common genome- wide ChIP- seq analysis tasks, including positional correlation analysis, peak detection, and genome partitioning into signal-rich and signal-poor regions. These tools exist as stand-alone C programs and perform the following tasks: . 1. Positional correlation analysis and generation of an aggregation plot (AP) (chipcor), 2. Extraction of specific genome annotation features around reference anchor points (chipextract), 3. Read centering or shifting (chipcenter), 4. Narrow peak caller using a fixed width peak size (chippeak), 5. Broad peak caller used for large regions of enrichment (chippart), 6. Feature selection tool based on a read count threshold (chipscore). . Because the ChIP-Seq tools are primarily optimized for speed, they use their own compact format for ChIP-seq data representation called SGA (Simplified Genome Annotation). SGA is a line-oriented, tab-delimited plain text format. Package: chip-seq-data Architecture: all Depends: ${misc:Depends} Description: tools performing common ChIP-Seq data analysis tasks (data) The ChIP-Seq software provides a set of tools performing common genome- wide ChIP- seq analysis tasks, including positional correlation analysis, peak detection, and genome partitioning into signal-rich and signal-poor regions. These tools exist as stand-alone C programs and perform the following tasks: . 1. Positional correlation analysis and generation of an aggregation plot (AP) (chipcor), 2. Extraction of specific genome annotation features around reference anchor points (chipextract), 3. Read centering or shifting (chipcenter), 4. Narrow peak caller using a fixed width peak size (chippeak), 5. Broad peak caller used for large regions of enrichment (chippart), 6. Feature selection tool based on a read count threshold (chipscore). . Because the ChIP-Seq tools are primarily optimized for speed, they use their own compact format for ChIP-seq data representation called SGA (Simplified Genome Annotation). SGA is a line-oriented, tab-delimited plain text format. . This package contains the database files shipped with chip-seq.