Package: r-bioc-grohmm
Version: 1.40.3-4
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 4512
Depends: r-api-4.0, r-api-bioc-3.20, r-cran-mass, r-bioc-s4vectors (>= 0.17.25), r-bioc-iranges (>= 2.13.12), r-bioc-genomeinfodb, r-bioc-genomicranges (>= 1.31.8), r-bioc-genomicalignments (>= 1.15.6), r-bioc-rtracklayer (>= 1.39.7), libc6 (>= 2.4)
Suggests: r-bioc-biocstyle, r-bioc-genomicfeatures, r-bioc-edger, r-bioc-org.hs.eg.db
Section: gnu-r
Priority: optional
Homepage: https://bioconductor.org/packages/groHMM/
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.
