recipe vibrant

Virus Identification By iteRative ANnoTation

Homepage:

https://github.com/AnantharamanLab/VIBRANT

License:

GPL / GPL-3.0

Recipe:

/vibrant/meta.yaml

Links:

doi: 10.1101/855387

package vibrant

versions:

1.2.1-4,  1.2.1-3,  1.2.1-2,  1.2.1-1,  1.2.1-0,  1.2.0-2,  1.2.0-1,  1.2.0-0,  1.0.1-2, 

1.2.1-4,  1.2.1-3,  1.2.1-2,  1.2.1-1,  1.2.1-0,  1.2.0-2,  1.2.0-1,  1.2.0-0,  1.0.1-2,  1.0.1-1,  1.0.1-0

depends biopython:

depends coreutils:

depends gzip:

depends hmmer:

>=3.2.1

depends matplotlib-base:

depends numpy:

>=1.17.0

depends pandas:

<1

depends prodigal:

depends python:

>=3.5

depends scikit-learn:

0.21.3.*

depends seaborn:

depends wget:

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 vibrant

and update with::

   mamba update vibrant

To create a new environment, run:

mamba create --name myenvname vibrant

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/vibrant:<tag>

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

Notes

Read post-link.sh on how to download 11GB required data files.

Download stats

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Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/vibrant/README.html)