recipe cosg

Accurate and fast cell marker gene identification with COSG

Homepage:

https://github.com/genecell/COSG

License:

BSD-3-Clause

Recipe:

/cosg/meta.yaml

package cosg

versions:

1.0.1-0

depends anndata:

>=0.7.4

depends numpy:

>=1.17.0

depends pandas:

>=0.21

depends python:

depends scanpy:

>=1.6.0

depends scikit-learn:

>=0.21.2

depends scipy:

>=1.4

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 cosg

and update with::

   mamba update cosg

To create a new environment, run:

mamba create --name myenvname cosg

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/cosg:<tag>

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

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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/cosg/README.html)