recipe bioconductor-biomvrcns

In this package, a Hidden Semi Markov Model (HSMM) and one homogeneous segmentation model are designed and implemented for segmentation genomic data, with the aim of assisting in transcripts detection using high throughput technology like RNA-seq or tiling array, and copy number analysis using aCGH or sequencing.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/biomvRCNS.html

License

GPL (>= 2)

Recipe

/bioconductor-biomvrcns/meta.yaml

package bioconductor-biomvrcns

Versions

1.22.0-0

Depends

• bioconductor-genomicranges >=1.34.0,<1.35.0

• bioconductor-gviz >=1.26.0,<1.27.0

• bioconductor-iranges >=2.16.0,<2.17.0

• libgcc-ng >=7.3.0

• r-base >=3.5.1,<3.5.2.0a0

• r-mvtnorm

Required By

Installation

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

conda install bioconductor-biomvrcns

and update with:

conda update bioconductor-biomvrcns

or use the docker container:

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

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