Article,

Network structures and algorithms in Bioconductor

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Bioinformatics, 21 (1): 135-136 (January 2005)
DOI: 10.1093/bioinformatics/bth458

Abstract

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. AVAILABILITY: Packages graph, Rgraphviz, RBGL of Bioconductor (www.bioconductor.org).

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