Source: r-bioc-grohmm
Standards-Version: 4.7.3
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Steffen Moeller <moeller@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 13),
 dh-r,
 r-base-dev,
 r-cran-mass,
 r-bioc-s4vectors,
 r-bioc-iranges,
 r-bioc-genomeinfodb,
 r-bioc-genomicranges,
 r-bioc-genomicalignments,
 r-bioc-rtracklayer,
 architecture-is-64-bit,
 architecture-is-little-endian,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-bioc-grohmm
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-bioc-grohmm.git
Homepage: https://bioconductor.org/packages/groHMM/
Rules-Requires-Root: no

Package: r-bioc-grohmm
Architecture: any
Depends:
 ${R:Depends},
 ${shlibs:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: GRO-seq Analysis Pipeline
 This BioConductor package provides a pipeline for the analysis of GRO-
 seq data. Among the more advanced features, r-bioc-grohmm predicts the
 boundaries of transcriptional activity across the genome de novo using a
 two-state hidden Markov model (HMM).
 .
 The used model essentially divides the genome into transcribed and non-
 transcribed regions in a strand specific manner. HMMs are used to
 identify the leading edge of Pol II at genes activated by a stimulus in
 GRO-seq time course data. This approach allows the genome-wide
 interrogation of transcription rates in cells.
