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Functional Gene Networks derived from biological enrichment analyses

Bioconductor version: Release (3.19)

Build and visualize functional gene and term networks from clustering of enrichment analyses in multiple annotation spaces. The package includes a graphical user interface (GUI) and functions to perform the functional enrichment analysis through DAVID, GeneTerm Linker, gage (GSEA) and topGO.

Author: Sara Aibar, Celia Fontanillo, Conrad Droste and Javier De Las Rivas.

Maintainer: Sara Aibar <saibar at>

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


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

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


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:

FGNet HTML R Script
Reference Manual PDF


biocViews Annotation, Clustering, FunctionalGenomics, GO, GeneSetEnrichment, Network, NetworkEnrichment, Pathways, Software, Visualization
Version 3.38.0
In Bioconductor since BioC 2.13 (R-3.0) (10.5 years)
License GPL (>= 2)
Depends R (>= 4.2.0)
Imports igraph (>= 0.6), hwriter, R.utils, XML, plotrix, reshape2, RColorBrewer, png, methods, stats, utils, graphics, grDevices
System Requirements
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Suggests RCurl, gage, topGO, GO.db, reactome.db, RUnit, BiocGenerics, org.Sc.sgd.db, knitr, rmarkdown, AnnotationDbi, BiocManager
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Follow Installation instructions to use this package in your R session.

Source Package FGNet_3.38.0.tar.gz
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macOS Binary (x86_64) FGNet_3.38.0.tgz
macOS Binary (arm64) FGNet_3.38.0.tgz
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Source Repository (Developer Access) git clone
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