Network structures and algorithms in Bioconductor

Bioinformatics. 2005 Jan 1;21(1):135-6. doi: 10.1093/bioinformatics/bth458. Epub 2004 Aug 5.

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).

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Algorithms*
  • Computer Graphics*
  • Computer Simulation
  • Gene Expression Regulation / physiology*
  • Information Storage and Retrieval / methods*
  • Internet
  • Models, Biological*
  • Signal Transduction / physiology*
  • Transcription Factors / metabolism*
  • User-Computer Interface*

Substances

  • Transcription Factors