recipe bioconductor-r3cpet

3CPET: Finding Co-factor Complexes in Chia-PET experiment using a Hierarchical Dirichlet Process

Homepage

https://bioconductor.org/packages/3.11/bioc/html/R3CPET.html

License

GPL (>=2)

Recipe

/bioconductor-r3cpet/meta.yaml

The package provides a method to infer the set of proteins that are more probably to work together to maintain chormatin interaction given a ChIA-PET experiment results.

package bioconductor-r3cpet

Versions

1.20.0-0,  1.18.0-0,  1.16.0-1,  1.14.0-0

Depends

• bioconductor-biocgenerics >=0.34.0,<0.35.0

• bioconductor-genomeinfodb >=1.24.0,<1.25.0

• bioconductor-genomicranges >=1.40.0,<1.41.0

• bioconductor-ggbio >=1.36.0,<1.37.0

• bioconductor-iranges >=2.22.0,<2.23.0

• bioconductor-s4vectors >=0.26.0,<0.27.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=7.3.0

• liblapack >=3.8.0,<3.9.0a0

• libstdcxx-ng >=7.3.0

• r-base >=4.0,<4.1.0a0

• r-clues

• r-clvalid

• r-data.table

• r-ggplot2

• r-hmisc

• r-igraph

• r-pheatmap

• r-rcpp >=0.10.4

• r-rcurl

• r-reshape2

Required By

Installation

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

conda install bioconductor-r3cpet

and update with:

conda update bioconductor-r3cpet

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-r3cpet:<tag>

(see bioconductor-r3cpet/tags for valid values for <tag>)

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-r3cpet/README.html)