recipe bioconductor-genega

Design gene based on both mRNA secondary structure and codon usage bias using Genetic algorithm



GPL version 2



R based Genetic algorithm for gene expression optimization by considering both mRNA secondary structure and codon usage bias, GeneGA includes the information of highly expressed genes of almost 200 genomes. Meanwhile, Vienna RNA Package is needed to ensure GeneGA to function properly.

package bioconductor-genega

(downloads) docker_bioconductor-genega



depends r-base:


depends r-hash:

depends r-seqinr:



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-genega

and update with::

   mamba update bioconductor-genega

To create a new environment, run:

mamba create --name myenvname bioconductor-genega

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<tag>

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

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