BioNet: an R-Package for the functional analysis of biological networks.
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.
Beisser
Daniela
D
Department of Bioinformatics, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany.
Klau
Gunnar W
GW
Dandekar
Thomas
T
Müller
Tobias
T
Dittrich
Marcus T
MT
D016208:Databases, Factual; D023281:Genomics / Q000379:methods*; D025941:Protein Interaction Mapping / Q000379:methods; D020543:Proteome / Q000737:chemistry; D012984:Software
D020543:Proteome