recipe markov_clustering

This module implements the MCL algorithm in python.

Homepage:

https://github.com/GuyAllard/markov_clustering

License:

MIT / MIT

Recipe:

/markov_clustering/meta.yaml

package markov_clustering

versions:

0.0.6-0

depends python:

>=3

depends scikit-learn:

depends scipy:

>=0.19.0

requirements:

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 markov_clustering

and update with::

   mamba update markov_clustering

To create a new environment, run:

mamba create --name myenvname markov_clustering

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/markov_clustering:<tag>

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

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