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JMassBalance: mass-balanced randomization and analysis of metabolic networks

Summary: 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...

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Detalles Bibliográficos
Autores principales: Basler, Georg, Nikoloski, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3179655/
https://www.ncbi.nlm.nih.gov/pubmed/21803803
http://dx.doi.org/10.1093/bioinformatics/btr448
Descripción
Sumario:Summary: 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. Availability and Implementation: JMassBalance is implemented in Java and freely available on the web at http://mathbiol.mpimp-golm.mpg.de/massbalance/. Contact: basler@mpimp-golm.mpg.de