Literature DB >> 20189939

BioNet: an R-Package for the functional analysis of biological networks.

Daniela Beisser1, Gunnar W Klau, Thomas Dandekar, Tobias Müller, Marcus T Dittrich.   

Abstract

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.

Mesh:

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Year:  2010        PMID: 20189939     DOI: 10.1093/bioinformatics/btq089

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  102 in total

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Review 8.  Integrative approaches for finding modular structure in biological networks.

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Review 9.  Systems analysis of high-throughput data.

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Journal:  J Immunol       Date:  2018-08-24       Impact factor: 5.422

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