recipe metacoag

MetaCoAG: Binning Metagenomic Contigs via Composition, Coverage and Assembly Graphs

Homepage:

https://github.com/metagentools/MetaCoAG

Documentation:

https://metacoag.readthedocs.io/

License:

GPL3 / GPL-3.0-or-later

Recipe:

/metacoag/meta.yaml

Links:

doi: 10.1007/978-3-031-04749-7_5

MetaCoAG is a metagenomic contig binning tool that makes use of the connectivity information found in assembly graphs.

package metacoag

versions:

1.2.2-0,  1.2.1-0,  1.2.0-0,  1.1.4-0,  1.1.3-0,  1.1.2-0,  1.1.1-0,  1.1-0

depends biopython:

depends cairocffi:

depends click:

depends fraggenescan:

depends hmmer:

depends networkx:

depends numpy:

depends pandas:

depends python:

>=3.12,<3.13.0a0

depends python-igraph:

depends python_abi:

3.12.* *_cp312

depends scipy:

depends tqdm:

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 metacoag

and update with::

   mamba update metacoag

To create a new environment, run:

mamba create --name myenvname metacoag

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/metacoag:<tag>

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

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