- recipe bioconductor-epigrahmm
Epigenomic R-based analysis with hidden Markov models
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/epigraHMM.html
- License:
MIT + file LICENSE
- Recipe:
epigraHMM provides a set of tools for the analysis of epigenomic data based on hidden Markov Models. It contains two separate peak callers, one for consensus peaks from biological or technical replicates, and one for differential peaks from multi-replicate multi-condition experiments. In differential peak calling, epigraHMM provides window-specific posterior probabilities associated with every possible combinatorial pattern of read enrichment across conditions.
- package bioconductor-epigrahmm¶
-
- Versions:
1.2.2-0
,1.2.0-0
,1.0.1-0
- Depends:
bioconductor-bamsignals
>=1.26.0,<1.27.0
bioconductor-csaw
>=1.28.0,<1.29.0
bioconductor-genomeinfodb
>=1.30.0,<1.31.0
bioconductor-genomicranges
>=1.46.0,<1.47.0
bioconductor-greylistchip
>=1.26.0,<1.27.0
bioconductor-iranges
>=2.28.0,<2.29.0
bioconductor-limma
>=3.50.0,<3.51.0
bioconductor-rhdf5
>=2.38.0,<2.39.0
bioconductor-rhdf5lib
>=1.16.0,<1.17.0
bioconductor-rsamtools
>=2.10.0,<2.11.0
bioconductor-rtracklayer
>=1.54.0,<1.55.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
libstdcxx-ng
>=10.3.0
r-base
>=4.1,<4.2.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-epigrahmm
and update with:
conda update bioconductor-epigrahmm
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-epigrahmm:<tag>
(see bioconductor-epigrahmm/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-epigrahmm/README.html)