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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
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author Basler, Georg
Nikoloski, Zoran
author_facet Basler, Georg
Nikoloski, Zoran
author_sort Basler, Georg
collection PubMed
description 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
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spelling pubmed-31796552011-09-26 JMassBalance: mass-balanced randomization and analysis of metabolic networks Basler, Georg Nikoloski, Zoran Bioinformatics Applications Note 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 Oxford University Press 2011-10-01 2011-07-29 /pmc/articles/PMC3179655/ /pubmed/21803803 http://dx.doi.org/10.1093/bioinformatics/btr448 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Basler, Georg
Nikoloski, Zoran
JMassBalance: mass-balanced randomization and analysis of metabolic networks
title JMassBalance: mass-balanced randomization and analysis of metabolic networks
title_full JMassBalance: mass-balanced randomization and analysis of metabolic networks
title_fullStr JMassBalance: mass-balanced randomization and analysis of metabolic networks
title_full_unstemmed JMassBalance: mass-balanced randomization and analysis of metabolic networks
title_short JMassBalance: mass-balanced randomization and analysis of metabolic networks
title_sort jmassbalance: mass-balanced randomization and analysis of metabolic networks
topic Applications Note
url 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
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