To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("FGNet")

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

FGNet

Functional gene networks derived from biological enrichment analyses

Bioconductor version: Release (2.14)

Build and visualize functional gene networks from clustering of enrichment analyses in multiple annotation spaces. The package includes an interface to perform the analysis through David and GeneTerm Linker.

Author: Sara Aibar, Celia Fontanillo, Conrad Droste and Javier De Las Rivas. Bioinformatics and Functional Genomics Group. Cancer Research Center (CiC-IBMCC, CSIC/USAL). Salamanca. Spain.

Maintainer: Sara Aibar <saibar at usal.es>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("FGNet")

Documentation

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

browseVignettes("FGNet")

 

PDF R Script FGNet-vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews Annotation, GO, GeneSetEnrichment, NetworkVisualization, Networks, Pathways, Software
Version 2.0.0
In Bioconductor since BioC 2.13 (R-3.0)
License GPL (>= 2)
Depends R (>= 2.15)
Imports igraph (>= 0.6), RCurl, hwriter, R.utils, XML
Suggests RUnit, BiocGenerics, org.Sc.sgd.db
System Requirements
URL http://gtlinker.cnb.csic.es
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source FGNet_2.0.0.tar.gz
Windows Binary FGNet_2.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) FGNet_2.0.0.tgz
Mac OS X 10.9 (Mavericks) FGNet_2.0.0.tgz
Browse/checkout source (username/password: readonly)
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