recipe virusrecom

An information-theory-based method for recombination detection of viral lineages.

Homepage:

https://github.com/ZhijianZhou01/virusrecom

License:

LGPL / LGPL-2.1-or-later

Recipe:

/virusrecom/meta.yaml

Links:

doi: 10.1093/bib/bbac513

package virusrecom

versions:

1.3.5-0,  1.3.2-0,  1.3.1-0,  1.2.1-0,  1.2.0-0,  1.1.7-0,  1.1.5-0,  1.1.4-0,  1.1.3.1-0, 

1.3.5-0,  1.3.2-0,  1.3.1-0,  1.2.1-0,  1.2.0-0,  1.1.7-0,  1.1.5-0,  1.1.4-0,  1.1.3.1-0,  1.1.3-1,  1.1.3-0,  1.1.2.2-0

depends matplotlib-base:

depends numpy:

>=1.19.3

depends openpyxl:

>=3.0.5

depends pandas:

>=1.1.5

depends psutil:

>=5.9.1

depends python:

>=3.5,!=3.8

depends scipy:

>=1.5.4

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 virusrecom

and update with::

   mamba update virusrecom

To create a new environment, run:

mamba create --name myenvname virusrecom

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/virusrecom:<tag>

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

Download stats

Link to this page

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/virusrecom/README.html)