SensA: web-based sensitivity analysis of SBML models

Summary: SensA is a web-based application for sensitivity analysis of mathematical models. The sensitivity analysis is based on metabolic control analysis, computing the local, global and time-dependent properties of model components. Interactive visualization facilitates interpretation of usually c...

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Autores principales: Floettmann, Max, Uhlendorf, Jannis, Scharp, Till, Klipp, Edda, Spiesser, Thomas W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173016/
https://www.ncbi.nlm.nih.gov/pubmed/24903418
http://dx.doi.org/10.1093/bioinformatics/btu378
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author Floettmann, Max
Uhlendorf, Jannis
Scharp, Till
Klipp, Edda
Spiesser, Thomas W.
author_facet Floettmann, Max
Uhlendorf, Jannis
Scharp, Till
Klipp, Edda
Spiesser, Thomas W.
author_sort Floettmann, Max
collection PubMed
description Summary: SensA is a web-based application for sensitivity analysis of mathematical models. The sensitivity analysis is based on metabolic control analysis, computing the local, global and time-dependent properties of model components. Interactive visualization facilitates interpretation of usually complex results. SensA can contribute to the analysis, adjustment and understanding of mathematical models for dynamic systems. Availability and implementation: SensA is available at http://gofid.biologie.hu-berlin.de/ and can be used with any modern browser. The source code can be found at https://bitbucket.org/floettma/sensa/ (MIT license) Contact: max.floettmann@biologie.hu-berlin.de or thomas.spiesser@biologie.hu-berlin.de
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spelling pubmed-41730162014-09-25 SensA: web-based sensitivity analysis of SBML models Floettmann, Max Uhlendorf, Jannis Scharp, Till Klipp, Edda Spiesser, Thomas W. Bioinformatics Applications Notes Summary: SensA is a web-based application for sensitivity analysis of mathematical models. The sensitivity analysis is based on metabolic control analysis, computing the local, global and time-dependent properties of model components. Interactive visualization facilitates interpretation of usually complex results. SensA can contribute to the analysis, adjustment and understanding of mathematical models for dynamic systems. Availability and implementation: SensA is available at http://gofid.biologie.hu-berlin.de/ and can be used with any modern browser. The source code can be found at https://bitbucket.org/floettma/sensa/ (MIT license) Contact: max.floettmann@biologie.hu-berlin.de or thomas.spiesser@biologie.hu-berlin.de Oxford University Press 2014-10 2014-06-05 /pmc/articles/PMC4173016/ /pubmed/24903418 http://dx.doi.org/10.1093/bioinformatics/btu378 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Floettmann, Max
Uhlendorf, Jannis
Scharp, Till
Klipp, Edda
Spiesser, Thomas W.
SensA: web-based sensitivity analysis of SBML models
title SensA: web-based sensitivity analysis of SBML models
title_full SensA: web-based sensitivity analysis of SBML models
title_fullStr SensA: web-based sensitivity analysis of SBML models
title_full_unstemmed SensA: web-based sensitivity analysis of SBML models
title_short SensA: web-based sensitivity analysis of SBML models
title_sort sensa: web-based sensitivity analysis of sbml models
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173016/
https://www.ncbi.nlm.nih.gov/pubmed/24903418
http://dx.doi.org/10.1093/bioinformatics/btu378
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