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")):

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("RBGL")

 

PDF R Script RBGL Overview
PDF   Reference Manual
Text   NEWS

Details

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

Package Archives

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

Package Source RBGL_1.40.1.tar.gz
Windows Binary RBGL_1.40.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) RBGL_1.40.1.tgz
Mac OS X 10.9 (Mavericks) RBGL_1.40.1.tgz
Browse/checkout source (username/password: readonly)
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