recipe kinex

Kinex infers causal kinases from phosphoproteomics data.

Homepage:

https://github.com/bedapub/kinex

Documentation:

https://kinex.readthedocs.io/en/latest/

License:

GPL3 / GPL-3.0-only

Recipe:

/kinex/meta.yaml

Links:

doi: 10.1101/2023.11.23.568445

package kinex

(downloads) docker_kinex

versions:

1.2.0-0,  1.1.0-0,  1.0.2-0,  1.0.1-0

depends importlib-resources:

depends nbformat:

>=4.2.0

depends numpy:

>=1.19.5

depends pandas:

depends plotly:

depends python:

>=3.8

depends requests:

depends scikit-learn:

depends scipy:

>=1.10.0

depends statsmodels:

depends umap-learn:

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 kinex

and update with::

   mamba update kinex

To create a new environment, run:

mamba create --name myenvname kinex

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/kinex:<tag>

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

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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/kinex/README.html)