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JMassBalance - mass-balanced randomization and analysis of metabolic networks

  • Analysis of biological networks requires assessing the statistical significance of network-based predictions by using a realistic null model. However, the existing network null model, switch randomization, is unsuitable for metabolic networks, as it does not include physical constraints and generates unrealistic reactions. We present JMassBalance, a tool for mass-balanced randomization and analysis of metabolic networks. The tool allows efficient generation of large sets of randomized networks under the physical constraint of mass balance. In addition, various structural properties of the original and randomized networks can be calculated, facilitating the identification of the salient properties of metabolic networks with a biologically meaningful null model.

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Author details:Georg Basler, Zoran NikoloskiORCiDGND
DOI:https://doi.org/10.1093/bioinformatics/btr448
ISSN:1367-4803
Title of parent work (English):Bioinformatics
Publisher:Oxford Univ. Press
Place of publishing:Oxford
Publication type:Article
Language:English
Year of first publication:2011
Publication year:2011
Release date:2017/03/26
Volume:27
Issue:19
Number of pages:2
First page:2761
Last Page:2762
Funding institution:German Federal Ministry of Education and Research [0313924]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
Peer review:Referiert
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