recipe variant_tools

Integrated annotation and analysis of next gen sequencing data.

Homepage:

https://github.com/vatlab/varianttools

Documentation:

https://vatlab.github.io/vat-docs

License:

GPL3 / GPL-3.0-or-later

Recipe:

/variant_tools/meta.yaml

package variant_tools

versions:

3.1.3-4,  3.1.3-2,  3.1.3-1,  3.1.3-0,  3.1.2-0,  3.1.1-0,  3.1.0-0,  3.0.9-0,  3.0.8-0

depends blosc:

>=1.21.6,<2.0a0

depends boost-cpp:

<1.73.0

depends gsl:

>=2.7,<2.8.0a0

depends hdf5:

>=1.14.3,<1.14.4.0a0

depends libgcc:

>=13

depends libstdcxx:

>=13

depends libzlib:

>=1.3.1,<2.0a0

depends numpy:

>=1.22.4,<2.0a0

depends pycurl:

depends pytables:

depends python:

>=3.8,<3.9.0a0

depends python_abi:

3.8.* *_cp38

depends pyzmq:

depends scipy:

requirements:

additional platforms:

linux-aarch64,  osx-arm64

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 variant_tools

and update with::

   mamba update variant_tools

To create a new environment, run:

mamba create --name myenvname variant_tools

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/variant_tools:<tag>

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

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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/variant_tools/README.html)