recipe bioconductor-ichip

Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models

Homepage

https://bioconductor.org/packages/3.10/bioc/html/iChip.html

License

GPL (>= 2)

Recipe

/bioconductor-ichip/meta.yaml

Links

biotools: ichip, doi: 10.1093/bioinformatics/btq032

Hidden Ising models are implemented to identify enriched genomic regions in ChIP-chip data. They can be used to analyze the data from multiple platforms (e.g., Affymetrix, Agilent, and NimbleGen), and the data with single to multiple replicates.

package bioconductor-ichip

(downloads) docker_bioconductor-ichip

Versions

1.40.0-0, 1.38.0-1, 1.38.0-0, 1.36.0-0, 1.34.0-0, 1.32.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-ichip

and update with:

conda update bioconductor-ichip

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-ichip:<tag>

(see bioconductor-ichip/tags for valid values for <tag>)