recipe bioconductor-biomvrcns

Copy Number study and Segmentation for multivariate biological data

Homepage:

https://bioconductor.org/packages/3.14/bioc/html/biomvRCNS.html

License:

GPL (>= 2)

Recipe:

/bioconductor-biomvrcns/meta.yaml

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.

package bioconductor-biomvrcns

Versions:

1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.30.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.22.0-0

Depends:

• bioconductor-genomicranges >=1.46.0,<1.47.0

• bioconductor-gviz >=1.38.0,<1.39.0

• bioconductor-iranges >=2.28.0,<2.29.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• r-base >=4.1,<4.2.0a0

• r-mvtnorm

Required By:

Installation

With an activated Bioconda channel (see 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>)

Download stats

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)