recipe bioconductor-biomvrcns

Copy Number study and Segmentation for multivariate biological data

Homepage:

https://bioconductor.org/packages/3.18/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:

1.42.1-0,  1.38.0-1,  1.38.0-0,  1.34.0-2,  1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.30.0-0, 

1.42.1-0,  1.38.0-1,  1.38.0-0,  1.34.0-2,  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:

>=1.54.0,<1.55.0

depends bioconductor-genomicranges:

>=1.54.1,<1.55.0a0

depends bioconductor-gviz:

>=1.46.0,<1.47.0

depends bioconductor-gviz:

>=1.46.1,<1.47.0a0

depends bioconductor-iranges:

>=2.36.0,<2.37.0

depends bioconductor-iranges:

>=2.36.0,<2.37.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.3,<4.4.0a0

depends r-mvtnorm:

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-biomvrcns

and update with::

   mamba update bioconductor-biomvrcns

To create a new environment, run:

mamba create --name myenvname bioconductor-biomvrcns

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, 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)