recipe pymochi

Neural networks to quantify energies, energetic couplings, epistasis and allostery from deep mutational scanning data

Homepage:

https://github.com/lehner-lab/MoCHI

License:

MIT

Recipe:

/pymochi/meta.yaml

package pymochi

versions:

1.1-0,  1.0-0,  0.9-0

depends matplotlib-base:

>=3.5.1

depends numpy:

>=1.21.2

depends pandas:

>=1.4.2

depends pyreadr:

>=0.4.4

depends python:

3.9.*

depends pytorch:

>=1.10.1

depends scikit-learn:

>=1.0.2

depends scipy:

>=1.8.0

depends seaborn:

>=0.11.2

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 pymochi

and update with::

   mamba update pymochi

To create a new environment, run:

mamba create --name myenvname pymochi

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/pymochi:<tag>

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