Document Detail


BioNet: an R-Package for the functional analysis of biological networks.
MedLine Citation:
PMID:  20189939     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
MOTIVATION: 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. AVAILABILITY: The BioNet package and a tutorial are available from http://bionet.bioapps.biozentrum.uni-wuerzburg.de.
Authors:
Daniela Beisser; Gunnar W Klau; Thomas Dandekar; Tobias Müller; Marcus T Dittrich
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-02-25
Journal Detail:
Title:  Bioinformatics (Oxford, England)     Volume:  26     ISSN:  1367-4811     ISO Abbreviation:  Bioinformatics     Publication Date:  2010 Apr 
Date Detail:
Created Date:  2010-04-14     Completed Date:  2010-09-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9808944     Medline TA:  Bioinformatics     Country:  England    
Other Details:
Languages:  eng     Pagination:  1129-30     Citation Subset:  IM    
Affiliation:
Department of Bioinformatics, Biocenter, University of Würzburg, Am Hubland, 97074 Würzburg, Germany.
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MeSH Terms
Descriptor/Qualifier:
Databases, Factual
Genomics / methods*
Protein Interaction Mapping / methods
Proteome / chemistry
Software*
Chemical
Reg. No./Substance:
0/Proteome

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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