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The enrichViewNet package enables the transformation of functional enrichment results, formatted as the results obtained by gprofiler2, into networks.

First, the enrichViewNet package enables the visualization of enrichment results a Cytoscape network where significant terms (Gene Ontology/Reactome/Transcription Factor/etc..) and genes are nodes. In this network, edges connect genes that are part of the enrichment request to their terms.

In addition, the enrichViewNet package also provides the option to create enrichment maps from functional enrichment results. Enrichment maps, as introduced in the Bioconductor enrichplot package, enable the visualization of enriched terms into a network with edges connecting overlapping genes. Thus, enriched terms with overlapping genes cluster together.

The enrichViewNet package is now an official package of Bioconductor.

The current Bioconductor release can be directly downloaded from their website: Current release

Astrid Deschênes, Pascal Belleau, Robert L Faure, Maria J Fernandes, Alexander Krasnitz and David A Tuveson

This package and the underlying enrichViewNet code are distributed under the Artistic license 2.0. You are free to use and redistribute this software.

For more information on Artistic 2.0 License see http://opensource.org/licenses/Artistic-2.0

enrichViewNet Website

enrichViewNet Get Started

To install the latest version accessible, the devtools package is required.

 ## Load required package
 library(devtools)

 ## Install the latest version of enrichViewNet
 devtools::install_github('adeschen/enrichViewNet')

To install this package from Bioconductor, start R (version 4.3 or later) and enter:

 if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

 BiocManager::install("enrichViewNet")

If you have any bugs or feature requests, let us know.

Thanks!