recipe bioconductor-rjmcmcnucleosomes

Bayesian hierarchical model for genome-wide nucleosome positioning with high-throughput short-read data (MNase-Seq)

Homepage

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

License

Artistic-2.0

Recipe

/bioconductor-rjmcmcnucleosomes/meta.yaml

This package does nucleosome positioning using informative Multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling.

package bioconductor-rjmcmcnucleosomes

Versions

1.12.0-0,  1.10.0-0,  1.8.0-1,  1.6.0-0

Depends

• bioconductor-biocgenerics >=0.34.0,<0.35.0

• bioconductor-biocparallel >=1.22.0,<1.23.0

• bioconductor-consensusseeker >=1.16.0,<1.17.0

• bioconductor-genomeinfodb >=1.24.0,<1.25.0

• bioconductor-genomicranges >=1.40.0,<1.41.0

• 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-rcpp >=0.12.5

Required By

Installation

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

conda install bioconductor-rjmcmcnucleosomes

and update with:

conda update bioconductor-rjmcmcnucleosomes

or use the docker container:

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

(see bioconductor-rjmcmcnucleosomes/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-rjmcmcnucleosomes/README.html)