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Source: r-bioc-grohmm
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
Priority: optional
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
Standards-Version: 4.7.0
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.
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