BioNet: an R-Package for the functional analysis of biological networks
Open Access
- 25 February 2010
- journal article
- research article
- Published by Oxford University Press (OUP) in Bioinformatics
- Vol. 26 (8), 1129-1130
- https://doi.org/10.1093/bioinformatics/btq089
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 Contact:marcus.dittrich@biozentrum.uni-wuerzburg.de; tobias.mueller@biozentrum.uni-wuerzburg.deKeywords
This publication has 8 references indexed in Scilit:
- Human Protein Reference Database--2009 updateNucleic Acids Research, 2008
- Identifying functional modules in protein–protein interaction networks: an integrated exact approachBioinformatics, 2008
- Bioconductor: open software development for computational biology and bioinformaticsGenome Biology, 2004
- Network structures and algorithms in BioconductorBioinformatics, 2004
- Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction NetworksGenome Research, 2003
- Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-valuesBioinformatics, 2003
- Discovering regulatory and signalling circuits in molecular interaction networksBioinformatics, 2002
- The Use of Molecular Profiling to Predict Survival after Chemotherapy for Diffuse Large-B-Cell LymphomaNew England Journal of Medicine, 2002