Network structures and algorithms in Bioconductor

  • Authors:

  • Vincent J. Carey;Jeff Gentry;Elizabeth Whalen;Robert Gentleman

  • Affiliations:

  • Channing Laboratory, Brigham and Women's Hospital 75 Francis Street, Boston, MA 02115, USA;Division of Biostatistics, Dana Farber Cancer Institute 44 Binney Street, Boston, MA 02115, USA;Division of Biostatistics, Dana Farber Cancer Institute 44 Binney Street, Boston, MA 02115, USA;Division of Biostatistics, Dana Farber Cancer Institute 44 Binney Street, Boston, MA 02115, USA

  • Venue:
  • Bioinformatics
  • Year:
  • 2005

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Abstract

Summary: 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). Contact: stvjc@channing.harvard.edu