recipe mrbayes_volpiano

Bayesian Inference of Phylogeny (Volpiano edition)

Homepage:

https://github.com/gaballench/mrbayes_volpiano

License:

GPL3 / GPL-3.0-or-later

Recipe:

/mrbayes_volpiano/meta.yaml

Links:

biotools: mrbayes_volpiano

This is a fork of MrBayes v3.2.7a, a programme for estimation of phylogenetic trees using Bayesian inference. This fork differs from the original in that the standard character coding is no longer intended for morphology in biological datasets but rather for the encoding of plainchant melodies in the volpiano format. The original README is provided below as well as the license and modified source code. A note has been added to the greeting text to make it clear that this is a fork only intended to be used for analysing plainchant melodies in volpiano format rather than the original biological sequence data.

package mrbayes_volpiano

(downloads) docker_mrbayes_volpiano

versions:

3.2.7a-0

depends beagle-lib:

<4

depends beagle-lib:

>=3.1.2,<4.0a0

depends libgcc:

>=13

depends ncurses:

>=6.5,<7.0a0

depends openmpi:

>=4.1.6,<5.0a0

depends readline:

>=8.2,<9.0a0

requirements:

additional platforms:
linux-aarch64,  osx-arm64

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 mrbayes_volpiano

and update with::

   mamba update mrbayes_volpiano

To create a new environment, run:

mamba create --name myenvname mrbayes_volpiano

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/mrbayes_volpiano:<tag>

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

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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/mrbayes_volpiano/README.html)