chromhmm 1.24+dfsg-1 source package in Ubuntu
Changelog
chromhmm (1.24+dfsg-1) unstable; urgency=medium * Team Upload. * New upstream version 1.24+dfsg * Bump Standards-Version to 4.6.2 (no changes needed) -- Nilesh Patra <email address hidden> Sat, 31 Dec 2022 16:53:37 +0530
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 | |
|---|---|---|---|---|
| Mantic | release | universe | misc | |
| Lunar | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| chromhmm_1.24+dfsg-1.dsc | 1.5 KiB | fbb904d7f2d35045e9e774792f8c9c5760369cc053a1e138895f471fbe74021c |
| chromhmm_1.24+dfsg.orig.tar.xz | 43.0 MiB | 3975b15ef8b956ebd61bec8b8c21d5375f58135adcffacd19aee202405eeba98 |
| chromhmm_1.24+dfsg-1.debian.tar.xz | 9.2 KiB | 4d5c8801ff8952bd8b01aecbf5101d64d4163ec59114b2148cfea76efa1c6553 |
Available diffs
- diff from 1.23+dfsg-2 to 1.24+dfsg-1 (13.1 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.
