recipe bayescode

Mutation-Selection phylogenetic codon models to detect site-specific adaptive evolution or to infer long-term effective population size

Homepage:

https://github.com/ThibaultLatrille/bayescode

License:

MIT / MIT

Recipe:

/bayescode/meta.yaml

package bayescode

versions:

1.3.2-1,  1.3.2-0,  1.3.1-0,  1.3.0-0,  1.2.2-0,  1.1.6-2,  1.1.6-1,  1.1.6-0

depends ete3:

depends libgcc:

>=13

depends libstdcxx:

>=13

depends matplotlib-base:

depends numpy:

depends pandas:

depends python:

>=3.6

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 bayescode

and update with::

   mamba update bayescode

To create a new environment, run:

mamba create --name myenvname bayescode

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/bayescode:<tag>

(see `bayescode/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an badge with the following MarkDown:

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