recipe bioconductor-bioga

Bioinformatics Genetic Algorithm (BioGA)

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/BioGA.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-bioga/meta.yaml

Genetic algorithm are a class of optimization algorithms inspired by the process of natural selection and genetics. This package allows users to analyze and optimize high throughput genomic data using genetic algorithms. The functions provided are implemented in C++ for improved speed and efficiency, with an easy-to-use interface for use within R.

package bioconductor-bioga

versions:

1.0.0-0

depends bioconductor-biocstyle:

>=2.34.0,<2.35.0

depends bioconductor-biocstyle:

>=2.34.0,<2.35.0a0

depends bioconductor-biocviews:

>=1.74.0,<1.75.0

depends bioconductor-biocviews:

>=1.74.0,<1.75.0a0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx:

>=13

depends r-animation:

depends r-base:

>=4.4,<4.5.0a0

depends r-ggplot2:

depends r-rcpp:

depends r-rlang:

depends r-sessioninfo:

requirements:

additional platforms:

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-bioga

and update with::

   mamba update bioconductor-bioga

To create a new environment, run:

mamba create --name myenvname bioconductor-bioga

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-bioga:<tag>

(see `bioconductor-bioga/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-bioga/README.html)