r-bioc-grohmm 1.34.0-1 source package in Ubuntu
Changelog
r-bioc-grohmm (1.34.0-1) unstable; urgency=medium * Team upload. * New upstream version * Standards-Version: 4.6.2 (routine-update) -- Andreas Tille <email address hidden> Thu, 27 Jul 2023 06:40:24 +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 | |
---|---|---|---|---|
Mantic | release | universe | misc |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
r-bioc-grohmm_1.34.0-1.dsc | 2.1 KiB | b1df850ddb35d56ed5e1bbcff79b10e15c1da7f682df88de9a9efc8cfe35213e |
r-bioc-grohmm_1.34.0.orig.tar.gz | 4.2 MiB | 6538f417247163469446c9743a78b14a9da44c8fa338c0cc6eff244d1603e3fd |
r-bioc-grohmm_1.34.0-1.debian.tar.xz | 3.2 KiB | 98b1e347731909e02293a77b450c30dabca3f705fd5c2d0d304323a1a75a0ccc |
Available diffs
- diff from 1.32.0-1 to 1.34.0-1 (915 bytes)
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