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This is the development version of enrichViewNet; for the stable release version, see enrichViewNet.

From functional enrichment results to biological networks

Bioconductor version: Development (3.20)

This package enables the visualization of functional enrichment results as network graphs. First the package enables the visualization of enrichment results, in a format corresponding to the one generated by gprofiler2, as a customizable Cytoscape network. In those networks, both gene datasets (GO terms/pathways/protein complexes) and genes associated to the datasets are represented as nodes. While the edges connect each gene to its dataset(s). The package also provides the option to create enrichment maps from functional enrichment results. Enrichment maps enable the visualization of enriched terms into a network with edges connecting overlapping genes.

Author: Astrid DeschĂȘnes [aut, cre] , Pascal Belleau [aut] , Robert L. Faure [aut] , Maria J. Fernandes [aut] , Alexander Krasnitz [aut], David A. Tuveson [aut]

Maintainer: Astrid DeschĂȘnes <adeschen at>

Citation (from within R, enter citation("enrichViewNet")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

From functional enrichment results to biological networks HTML R Script
Reference Manual PDF


biocViews BiologicalQuestion, GO, Network, NetworkEnrichment, Software
Version 1.3.0
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
License Artistic-2.0
Depends R (>= 4.2.0)
Imports gprofiler2, strex, RCy3, jsonlite, stringr, enrichplot, DOSE, methods
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Suggests BiocStyle, knitr, rmarkdown, ggplot2, testthat
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Source Package enrichViewNet_1.3.0.tar.gz
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macOS Binary (x86_64) enrichViewNet_1.3.0.tgz
macOS Binary (arm64) enrichViewNet_1.3.0.tgz
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