- recipe bioconductor-pcxn
Exploring, analyzing and visualizing functions utilizing the pcxnData package
- Homepage:
- License:
MIT + file LICENSE
- Recipe:
Discover the correlated pathways/gene sets of a single pathway/gene set or discover correlation relationships among multiple pathways/gene sets. Draw a heatmap or create a network of your query and extract members of each pathway/gene set found in the available collections (MSigDB H hallmark, MSigDB C2 Canonical pathways, MSigDB C5 GO BP and Pathprint).
- package bioconductor-pcxn¶
- versions:
2.24.0-0
,2.22.0-0
,2.20.0-0
,2.16.0-0
,2.14.0-0
,2.12.0-2
,2.12.0-0
,2.10.0-0
,2.8.0-1
,2.24.0-0
,2.22.0-0
,2.20.0-0
,2.16.0-0
,2.14.0-0
,2.12.0-2
,2.12.0-0
,2.10.0-0
,2.8.0-1
,2.6.0-1
,2.6.0-0
,2.4.0-0
- depends bioconductor-pcxndata:
>=2.24.0,<2.25.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-pheatmap:
- 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 bioconductor-pcxn and update with:: mamba update bioconductor-pcxn
To create a new environment, run:
mamba create --name myenvname bioconductor-pcxn
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/bioconductor-pcxn:<tag> (see `bioconductor-pcxn/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/bioconductor-pcxn/README.html)