recipe jass_preprocessing

Harmonizing raw GWAS summary statistic for further analysis with jass

Homepage:

http://statistical-genetics.pages.pasteur.fr/jass_preprocessing/

License:

MIT / MIT

Recipe:

/jass_preprocessing/meta.yaml

package jass_preprocessing

versions:

2.2-0,  2.1-0,  2.0.1-0,  2.0-0,  1.0-0

depends numpy:

depends pandas:

depends python:

>=3.6

depends scipy:

depends seaborn:

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 jass_preprocessing

and update with::

   mamba update jass_preprocessing

To create a new environment, run:

mamba create --name myenvname jass_preprocessing

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/jass_preprocessing:<tag>

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