recipe iobrpy

Immuno-Oncology Biological Research using Python (IOBRpy)

Homepage:

https://github.com/IOBR/IOBRpy

License:

MIT

Recipe:

/iobrpy/meta.yaml

package iobrpy

versions:

0.1.3-0

depends fastp:

depends gseapy:

>=1.0.6

depends joblib:

>=1.3

depends matplotlib-base:

>=3.7

depends multiqc:

>=1.31

depends numpy:

>=1.22

depends pandas:

>=1.5

depends python:

>=3.9

depends salmon:

depends scikit-learn:

>=1.2

depends scipy:

>=1.9

depends star:

depends statsmodels:

>=0.13

depends tqdm:

>=4.66

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 iobrpy

and update with::

   mamba update iobrpy

To create a new environment, run:

mamba create --name myenvname iobrpy

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/iobrpy:<tag>

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