recipe mp3treesim

Triplet-based similarity score for fully multi-labeled trees with poly-occurring labels

Homepage:

https://algolab.github.io/mp3treesim/

License:

MIT

Recipe:

/mp3treesim/meta.yaml

package mp3treesim

versions:

1.0.6-0,  1.0.1-0

depends networkx:

>=2.4

depends numpy:

>=1.18.1

depends pygraphviz:

>=1.5

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 mp3treesim

and update with::

   mamba update mp3treesim

To create a new environment, run:

mamba create --name myenvname mp3treesim

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/mp3treesim:<tag>

(see `mp3treesim/tags`_ for valid values for ``<tag>``)

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