title: BioNet: an R-Package for the functional analysis of biological networks.
abstract: BACKGROUND
  Increasing quantity and quality of data in transcriptomics and interactomics create the need for integrative approaches to network analysis. Here, we present a comprehensive R-package for the analysis of biological networks including an exact and a heuristic approach to identify functional modules.
  
  
  RESULTS
  The BioNet package provides an extensive framework for integrated network analysis in R. This includes the statistics for the integration of transcriptomic and functional data with biological networks, the scoring of nodes as well as methods for network search and visualization.
  
  
  BACKGROUND
  The BioNet package and a tutorial are available from http://bionet.bioapps.biozentrum.uni-wuerzburg.de.
authors.affiliation: Department of Bioinformatics, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany.
authors.forename: Daniela
authors.initials: D
authors.lastname: Beisser
authors.forename: Gunnar W
authors.initials: GW
authors.lastname: Klau
authors.forename: Thomas
authors.initials: T
authors.lastname: Dandekar
authors.forename: Tobias
authors.initials: T
authors.lastname: Müller
authors.forename: Marcus T
authors.initials: MT
authors.lastname: Dittrich
mesh_terms: D016208:Databases, Factual; D023281:Genomics / Q000379:methods*; D025941:Protein Interaction Mapping / Q000379:methods; D020543:Proteome / Q000737:chemistry; D012984:Software
chemical_list: D020543:Proteome