r-bioc-grohmm 1.32.0-1 source package in Ubuntu
Changelog
r-bioc-grohmm (1.32.0-1) unstable; urgency=medium * Team upload. * New upstream version * Reduce piuparts noise in transitions (routine-update) -- Andreas Tille <email address hidden> Mon, 21 Nov 2022 18:26:11 +0100
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 | |
|---|---|---|---|---|
| Lunar | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-bioc-grohmm_1.32.0-1.dsc | 2.1 KiB | 721baba5d2d13058dd74260f9d812d76f1713aaef371c23af8ffaa280ce2fbe7 |
| r-bioc-grohmm_1.32.0.orig.tar.gz | 4.1 MiB | cc6b4aa26e939ad703db44201df4d6d500860cc5a00bc0953e9430bf959943ab |
| r-bioc-grohmm_1.32.0-1.debian.tar.xz | 3.2 KiB | 37f9cb1a113cd4b9b34ce8053a66b2931176fc8dd818055cff5dc853d7277c1c |
Available diffs
- diff from 1.30.1-1 to 1.32.0-1 (1.8 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
