recipe drhip

DRHIP - Data Reduction for HyPhy with Inference Processing

Homepage:

https://github.com/veg/drhip

License:

MIT / MIT

Recipe:

/drhip/meta.yaml

DRHIP (Data Reduction for HyPhy with Inference Processing) is a Python package designed to analyze and summarize results from HyPhy evolutionary selection analyses. It provides tools for processing BUSTED, RELAX, MEME, and other HyPhy method outputs to generate summary statistics and site-specific analyses.

package drhip

(downloads) docker_drhip

versions:

0.1.1-0

depends biopython:

>=1.79

depends numpy:

>=1.20.0

depends pandas:

>=1.3.0

depends python:

>=3.7

depends scipy:

>=1.7.0

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 drhip

and update with::

   mamba update drhip

To create a new environment, run:

mamba create --name myenvname drhip

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/drhip:<tag>

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

Download stats

Link to this page

Render an install-with-bioconda 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/drhip/README.html)