recipe vapor

VAPOR is a tool for classification of Influenza samples from raw short read sequence data for downstream bioinformatics analysis.

Homepage:

https://github.com/connor-lab/vapor

License:

GPL / GPL-3.0-only

Recipe:

/vapor/meta.yaml

package vapor

(downloads) docker_vapor

versions:

1.0.2-0

depends numpy:

>=1.5.1

depends python:

>=3

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 vapor

and update with::

   mamba update vapor

To create a new environment, run:

mamba create --name myenvname vapor

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/vapor:<tag>

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

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Link to this page

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