recipe bioconductor-pathnet

An R package for pathway analysis using topological information

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/PathNet.html

License:

GPL-3

Recipe:

/bioconductor-pathnet/meta.yaml

Links:

biotools: pathnet

PathNet uses topological information present in pathways and differential expression levels of genes (obtained from microarray experiment) to identify pathways that are 1) significantly enriched and 2) associated with each other in the context of differential expression. The algorithm is described in: PathNet: A tool for pathway analysis using topological information. Dutta B, Wallqvist A, and Reifman J. Source Code for Biology and Medicine 2012 Sep 24;7(1):10.

package bioconductor-pathnet

(downloads) docker_bioconductor-pathnet

versions:
1.42.0-01.40.0-01.38.0-01.34.0-01.32.0-01.30.0-11.30.0-01.28.0-01.23.0-1

1.42.0-01.40.0-01.38.0-01.34.0-01.32.0-01.30.0-11.30.0-01.28.0-01.23.0-11.23.0-01.22.0-01.20.0-01.18.0-01.16.0-0

depends r-base:

>=4.3,<4.4.0a0

requirements:

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-pathnet

and update with::

   mamba update bioconductor-pathnet

To create a new environment, run:

mamba create --name myenvname bioconductor-pathnet

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-pathnet:<tag>

(see `bioconductor-pathnet/tags`_ for valid values for ``<tag>``)

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