chromhmm 1.21+dfsg-1 source package in Ubuntu
Changelog
chromhmm (1.21+dfsg-1) unstable; urgency=medium * New upstream version * Standards-Version: 4.5.0 (routine-update) * debhelper-compat 13 (routine-update) * Add salsa-ci file (routine-update) * Rules-Requires-Root: no (routine-update) -- Dylan Aïssi <email address hidden> Wed, 15 Jul 2020 10:18:15 +0200
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 |
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Downloads
File | Size | SHA-256 Checksum |
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chromhmm_1.21+dfsg-1.dsc | 2.1 KiB | 2c6c93f8a9ea82de9f4f88f6e2a7a905781fa810ebf95acc344316a11495bf89 |
chromhmm_1.21+dfsg.orig.tar.xz | 36.3 MiB | b963d8e41110282ff4283a727fc4959e459b97dd6e8dee8128b7ab5a3f2dd439 |
chromhmm_1.21+dfsg-1.debian.tar.xz | 8.8 KiB | 6274bd7d6b22d5dbeed2d99a0c58ada58b8be95497c71216f96fcaf4113c73cb |
Available diffs
- diff from 1.20+dfsg-1 to 1.21+dfsg-1 (11.8 KiB)
No changes file available.
Binary packages built by this source
- chromhmm: No summary available for chromhmm in ubuntu groovy.
No description available for chromhmm in ubuntu groovy.
- 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.