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: 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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