recipe bioconductor-smap

A Segmental Maximum A Posteriori Approach to Array-CGH Copy Number Profiling

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/SMAP.html

License:

GPL-2

Recipe:

/bioconductor-smap/meta.yaml

Links:

biotools: smap, doi: 10.1093/bioinformatics/btn003

Functions and classes for DNA copy number profiling of array-CGH data

package bioconductor-smap

(downloads) docker_bioconductor-smap

versions:
1.66.0-1,  1.66.0-0,  1.64.0-0,  1.62.0-2,  1.62.0-1,  1.62.0-0,  1.58.0-2,  1.58.0-1,  1.58.0-0, 

1.66.0-1,  1.66.0-0,  1.64.0-0,  1.62.0-2,  1.62.0-1,  1.62.0-0,  1.58.0-2,  1.58.0-1,  1.58.0-0,  1.56.0-0,  1.54.0-1,  1.54.0-0,  1.52.0-0,  1.50.0-0,  1.48.0-1,  1.48.0-0,  1.46.0-0,  1.44.0-0,  1.42.0-0,  1.40.0-0

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

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-smap

and update with::

   mamba update bioconductor-smap

To create a new environment, run:

mamba create --name myenvname bioconductor-smap

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-smap:<tag>

(see `bioconductor-smap/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an install-with-bioconda 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-smap/README.html)