recipe bioinfokit

The bioinfokit toolkit aimed to provide various easy-to-use functionalities to analyze, visualize, and interpret the biological data generated from genome-scale omics experiments.

Homepage:

https://reneshbedre.github.io/blog/howtoinstall.html

License:

MIT

Recipe:

/bioinfokit/meta.yaml

package bioinfokit

(downloads) docker_bioinfokit

versions:
2.1.3-0,  2.1.2-0,  2.1.1-0,  2.1.0-0,  2.0.9-0,  2.0.8-0,  2.0.6-0,  2.0.5-0,  2.0.4-0, 

2.1.3-0,  2.1.2-0,  2.1.1-0,  2.1.0-0,  2.0.9-0,  2.0.8-0,  2.0.6-0,  2.0.5-0,  2.0.4-0,  2.0.3-0,  2.0.2-0,  2.0.1-0,  1.0.8-1,  1.0.8-0,  1.0.7-0,  1.0.5-0,  1.0.4-0,  1.0.3-0,  1.0.2-0,  1.0.1-0,  1.0.0-0,  0.9.9-0,  0.9.8-0,  0.9.7-0,  0.9.6-0

depends adjusttext:

depends matplotlib-base:

depends matplotlib-venn:

depends pandas:

depends python:

depends scikit-learn:

depends scipy:

depends seaborn:

depends statsmodels:

depends tabulate:

depends textwrap3:

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 bioinfokit

and update with::

   mamba update bioinfokit

To create a new environment, run:

mamba create --name myenvname bioinfokit

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/bioinfokit:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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