recipe macsylib

MacSyLib: Python library that help to detect of macromolecular, systems genetic pathways… in prokaryotes protein datasets using systems modelling and similarity search.

Homepage:

https://github.com/gem-pasteur/macsylib

Documentation:

https://macsylib.readthedocs.io/en/latest

License:

GPL3 / GPL-3.0-or-later

Recipe:

/macsylib/meta.yaml

Links:

doi: 10.24072/pcjournal.250, biotools: macsylib

package macsylib

versions:

1.0.3-0,  1.0.2-0,  1.0.1-0

depends certifi:

depends colorama:

>=0.4.4

depends colorlog:

>=4.0.2

depends git:

>1.7.0

depends gitpython:

>=3.1.30

depends hmmer:

>=3.1b2,<=3.4

depends networkx:

>=2.4

depends packaging:

>=18.0

depends pandas:

>=1.03

depends python:

>=3.10

depends pyyaml:

>=5.1.1

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 macsylib

and update with::

   mamba update macsylib

To create a new environment, run:

mamba create --name myenvname macsylib

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/macsylib:<tag>

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

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