recipe pdivas

PDIVAS: Pathogenicity predictor of Deep-Intronic Variants causing Aberrant Splicing

Homepage:

https://github.com/shiro-kur/PDIVAS

License:

MIT

Recipe:

/pdivas/meta.yaml

package pdivas

versions:

1.2.0-0,  1.1.0-0

depends cyvcf2:

>=0.11

depends numpy:

>=1.21

depends pandas:

>=1.3

depends python:

depends scikit-learn:

1.0.2.*

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 pdivas

and update with::

   mamba update pdivas

To create a new environment, run:

mamba create --name myenvname pdivas

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/pdivas:<tag>

(see `pdivas/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/pdivas/README.html)