recipe bioconductor-mogamun

MOGAMUN: A Multi-Objective Genetic Algorithm to Find Active Modules in Multiplex Biological Networks

Homepage:

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

License:

GPL-3 + file LICENSE

Recipe:

/bioconductor-mogamun/meta.yaml

MOGAMUN is a multi-objective genetic algorithm that identifies active modules in a multiplex biological network. This allows analyzing different biological networks at the same time. MOGAMUN is based on NSGA-II (Non-Dominated Sorting Genetic Algorithm, version II), which we adapted to work on networks.

package bioconductor-mogamun

(downloads) docker_bioconductor-mogamun

versions:

1.16.0-01.12.0-01.10.0-01.8.0-01.4.0-01.2.0-01.0.1-01.0.0-0

depends bioconductor-biocparallel:

>=1.40.0,<1.41.0

depends bioconductor-rcy3:

>=2.26.0,<2.27.0

depends r-base:

>=4.4,<4.5.0a0

depends r-igraph:

depends r-runit:

depends r-stringr:

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-mogamun

and update with::

   mamba update bioconductor-mogamun

To create a new environment, run:

mamba create --name myenvname bioconductor-mogamun

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-mogamun:<tag>

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

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