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An interface to the BOOST graph library

Bioconductor version: Release (3.19)

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

Author: Vince Carey [aut], Li Long [aut], R. Gentleman [aut], Emmanuel Taiwo [ctb] (Converted RBGL vignette from Sweave to RMarkdown / HTML.), Bioconductor Package Maintainer [cre]

Maintainer: Bioconductor Package Maintainer <maintainer at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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

RBGL Overview HTML R Script
Reference Manual PDF


biocViews GraphAndNetwork, Network, Software
Version 1.80.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19 years)
License Artistic-2.0
Depends graph, methods
Imports methods
System Requirements
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Suggests Rgraphviz, XML, RUnit, BiocGenerics, BiocStyle, knitr
Linking To BH
Depends On Me apComplex, BioNet, CellNOptR, fgga, PerfMeas, SubpathwayLNCE
Imports Me BiocPkgTools, biocViews, CAMERA, Category, ChIPpeakAnno, CHRONOS, CytoML, DEGraph, DEsubs, EventPointer, flowWorkspace, GenomicInteractionNodes, GOstats, NCIgraph, OrganismDbi, Streamer, VariantFiltering, BiDAG, clustNet, eff2, HEMDAG, micd, pcalg, rags2ridges, RANKS, SEMgraph, SID
Suggests Me DEGraph, GeneNetworkBuilder, graph, gwascat, KEGGgraph, rBiopaxParser, VariantTools, yeastExpData, archeofrag, maGUI
Links To Me
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Package Archives

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

Source Package RBGL_1.80.0.tar.gz
Windows Binary
macOS Binary (x86_64) RBGL_1.80.0.tgz
macOS Binary (arm64) RBGL_1.80.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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