recipe metafx

MetaFX (METAgenomic Feature eXtraction) is a library for feature extraction from whole-genome metagenome sequencing data and classification of groups of samples.

Homepage:

https://github.com/ctlab/metafx

License:

The MIT License (MIT)

Recipe:

/metafx/meta.yaml

package metafx

versions:

1.1.0-0

depends ete3:

>=3.1.3

depends joblib:

>=1.2.0

depends matplotlib-base:

>=3.8.2

depends numpy:

>=1.23.5

depends openjdk:

>=8.0.144

depends pandas:

>=1.3.4

depends python:

>=3.6

depends scikit-learn:

>=1.3.0

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 metafx

and update with::

   mamba update metafx

To create a new environment, run:

mamba create --name myenvname metafx

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/metafx:<tag>

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

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