chromhmm 1.25+dfsg-1 source package in Ubuntu
Changelog
chromhmm (1.25+dfsg-1) unstable; urgency=medium
* Team upload.
* Fix clean target
Closes: #1043980
* Use secure URI in Homepage field.
-- Andreas Tille <email address hidden> Wed, 07 Feb 2024 08:15:09 +0100
Upload details
- Uploaded by:
- Debian Med
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | misc | |
| Noble | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| chromhmm_1.25+dfsg-1.dsc | 2.1 KiB | a033d93fa9eed9809a11a51db519a8dd8a0b003daed58d48e863abc6b55cacc8 |
| chromhmm_1.25+dfsg.orig.tar.xz | 43.0 MiB | d7df506c4670d51abb584b65927cdb026bb002192b5836f05c024721e21c24e8 |
| chromhmm_1.25+dfsg-1.debian.tar.xz | 9.2 KiB | ab0f3294f8006281866caf944608422f0b405fdf24f45660398ac149807a3a4c |
Available diffs
- diff from 1.24+dfsg-1 to 1.25+dfsg-1 (22.3 KiB)
No changes file available.
Binary packages built by this source
- chromhmm: Chromatin state discovery and characterization
ChromHMM is software for learning and characterizing chromatin states.
ChromHMM can integrate multiple chromatin datasets such as ChIP-seq data of
various histone modifications to discover de novo the major re-occuring
combinatorial and spatial patterns of marks. ChromHMM is based on a
multivariate Hidden Markov Model that explicitly models the presence or
absence of each chromatin mark. The resulting model can then be used to
systematically annotate a genome in one or more cell types. By automatically
computing state enrichments for large-scale functional and annotation datasets
ChromHMM facilitates the biological characterization of each state. ChromHMM
also produces files with genome-wide maps of chromatin state annotations that
can be directly visualized in a genome browser.
- chromhmm-example: Chromatin state discovery and characterization (example)
ChromHMM is software for learning and characterizing chromatin states.
ChromHMM can integrate multiple chromatin datasets such as ChIP-seq data of
various histone modifications to discover de novo the major re-occuring
combinatorial and spatial patterns of marks. ChromHMM is based on a
multivariate Hidden Markov Model that explicitly models the presence or
absence of each chromatin mark. The resulting model can then be used to
systematically annotate a genome in one or more cell types. By automatically
computing state enrichments for large-scale functional and annotation datasets
ChromHMM facilitates the biological characterization of each state. ChromHMM
also produces files with genome-wide maps of chromatin state annotations that
can be directly visualized in a genome browser.
.
This package provides example to work with ChromHMM.
