To install this package, start R and enter:

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

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

RBGL

An interface to the BOOST graph library

Bioconductor version: 2.14

A fairly extensive and comprehensive interface to the graph algorithms contained in the BOOST library.

Author: Vince Carey <stvjc at channing.harvard.edu>, Li Long <li.long at isb-sib.ch>, R. Gentleman

Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>

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

To install this package, start R and enter:

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

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

browseVignettes("RBGL")

biocViews	GraphAndNetwork, Network, Software
Version	1.40.1
In Bioconductor since	BioC 1.6 (R-2.1) or earlier
License	Artistic-2.0
Depends	graph, methods
Imports	methods
Suggests	Rgraphviz, XML
System Requirements
URL	http://www.bioconductor.org
Depends On Me	apComplex, BioNet, CellNOptR, flowClust, joda, pkgDepTools, RpsiXML
Imports Me	biocViews, CAMERA, Category, clipper, DEGraph, flowWorkspace, GeneAnswers, GOSim, GOstats, NCIgraph, nem, openCyto, OrganismDbi, pkgDepTools, predictionet, RDAVIDWebService, Streamer
Suggests Me	BiocCaseStudies, DEGraph, GeneNetworkBuilder, graph, KEGGgraph, keggorthology, rBiopaxParser, VariantTools, yeastExpData

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

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