deb_control_files:
- control
- md5sums
deb_fields:
Architecture: arm64
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 (>=
2.17)
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.
Homepage: https://bioconductor.org/packages/groHMM/
Installed-Size: '4529'
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Package: r-bioc-grohmm
Priority: optional
Section: gnu-r
Suggests: r-bioc-biocstyle, r-bioc-genomicfeatures, r-bioc-edger, r-bioc-org.hs.eg.db
Version: 1.40.3-2
srcpkg_name: r-bioc-grohmm
srcpkg_version: 1.40.3-2