To install this package, start R and enter:


In most cases, you don't need to download the package archive at all.


Functional Gene Networks derived from biological enrichment analyses

Bioconductor version: Release (3.0)

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 and enter:



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



HTML R Script FGNet
PDF   Reference Manual
Text   NEWS


biocViews Annotation, Clustering, FunctionalGenomics, GO, GeneSetEnrichment, Network, NetworkEnrichment, Pathways, Software, Visualization
Version 3.0.7
In Bioconductor since BioC 2.13 (R-3.0)
License GPL (>= 2)
Depends R (>= 2.15)
Imports igraph (>= 0.6), hwriter, R.utils, XML, plotrix, reshape2, RColorBrewer, png
Suggests RGtk2, RCurl, RDAVIDWebService, gage, topGO, KEGGprofile, GO.db, KEGG.db, reactome.db, RUnit, BiocGenerics, org.Sc.sgd.db, knitr, rmarkdown, AnnotationDbi
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source FGNet_3.0.7.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) FGNet_3.0.7.tgz
Mac OS X 10.9 (Mavericks) FGNet_3.0.7.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center