Network structures and algorithms in Bioconductor.
In this paper, we review the central concepts and implementations of tools for working with network structures in Bioconductor. Interfaces to open source resources for visualization (AT&T Graphviz) and network algorithms (Boost) have been developed to support analysis of graphical structures in genomics and computational biology.


BACKGROUND
Packages graph, Rgraphviz, RBGL of Bioconductor (www.bioconductor.org).
Channing Laboratory, Brigham and Women's Hospital 75 Francis Street, Boston, MA 02115, USA. stvjc@channing.harvard.edu
Vincent J
VJ
Carey
Jeff
J
Gentry
Elizabeth
E
Whalen
Robert
R
Gentleman
D000465:Algorithms; D003196:Computer Graphics; D003198:Computer Simulation; D005786:Gene Expression Regulation / Q000502:physiology*; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D008954:Models, Biological; D015398:Signal Transduction / Q000502:physiology*; D014157:Transcription Factors / Q000378:metabolism*; D014584:User-Computer Interface
D014157:Transcription Factors