r-bioc-grohmm 1.30.1-1 source package in Ubuntu
Changelog
r-bioc-grohmm (1.30.1-1) unstable; urgency=medium * Team upload. * New upstream version * Remove trailing whitespace in debian/changelog (routine-update) * Drop S.h patch now applied upstream -- Andreas Tille <email address hidden> Thu, 19 May 2022 15:27:46 +0200
Upload details
- Uploaded by:
- Debian R Packages Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian R Packages Maintainers
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-bioc-grohmm_1.30.1-1.dsc | 2.1 KiB | f9c35bf0010c786eb4acf6d7aa0f48b025a1dcc8120539d1f0e1bd468830a4f6 |
r-bioc-grohmm_1.30.1.orig.tar.gz | 4.1 MiB | 51e1d628ee6d0c1b48e6c1cd30e72d7bc839ce95bedee7ade00311cffa99556c |
r-bioc-grohmm_1.30.1-1.debian.tar.xz | 3.1 KiB | a4943e1e3596446a0303789c4473a8a9ee9008fe02e701147f9bdd570e693f65 |
Available diffs
- diff from 1.28.0-1 to 1.30.1-1 (1.6 KiB)
- diff from 1.29.1-1 to 1.30.1-1 (1.4 KiB)
No changes file available.
Binary packages built by this source
- r-bioc-grohmm: 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.
- r-bioc-grohmm-dbgsym: debug symbols for r-bioc-grohmm