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The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2
Computational models can help researchers to interpret data, understand biological functions, and make quantitative predictions. The Systems Biology Markup Language (SBML) is a file format for representing computational models in a declarative form that different software systems can exchange. SBML...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798823/ https://www.ncbi.nlm.nih.gov/pubmed/31219795 http://dx.doi.org/10.1515/jib-2019-0021 |
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author | Hucka, Michael Bergmann, Frank T. Chaouiya, Claudine Dräger, Andreas Hoops, Stefan Keating, Sarah M. König, Matthias Novère, Nicolas Le Myers, Chris J. Olivier, Brett G. Sahle, Sven Schaff, James C. Sheriff, Rahuman Smith, Lucian P. Waltemath, Dagmar Wilkinson, Darren J. Zhang, Fengkai |
author_facet | Hucka, Michael Bergmann, Frank T. Chaouiya, Claudine Dräger, Andreas Hoops, Stefan Keating, Sarah M. König, Matthias Novère, Nicolas Le Myers, Chris J. Olivier, Brett G. Sahle, Sven Schaff, James C. Sheriff, Rahuman Smith, Lucian P. Waltemath, Dagmar Wilkinson, Darren J. Zhang, Fengkai |
author_sort | Hucka, Michael |
collection | PubMed |
description | Computational models can help researchers to interpret data, understand biological functions, and make quantitative predictions. The Systems Biology Markup Language (SBML) is a file format for representing computational models in a declarative form that different software systems can exchange. SBML is oriented towards describing biological processes of the sort common in research on a number of topics, including metabolic pathways, cell signaling pathways, and many others. By supporting SBML as an input/output format, different tools can all operate on an identical representation of a model, removing opportunities for translation errors and assuring a common starting point for analyses and simulations. This document provides the specification for Release 2 of Version 2 of SBML Level 3 Core. The specification defines the data structures prescribed by SBML as well as their encoding in XML, the eXtensible Markup Language. Release 2 corrects some errors and clarifies some ambiguities discovered in Release 1. This specification also defines validation rules that determine the validity of an SBML document, and provides many examples of models in SBML form. Other materials and software are available from the SBML project website at http://sbml.org/. |
format | Online Article Text |
id | pubmed-6798823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-67988232019-10-28 The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2 Hucka, Michael Bergmann, Frank T. Chaouiya, Claudine Dräger, Andreas Hoops, Stefan Keating, Sarah M. König, Matthias Novère, Nicolas Le Myers, Chris J. Olivier, Brett G. Sahle, Sven Schaff, James C. Sheriff, Rahuman Smith, Lucian P. Waltemath, Dagmar Wilkinson, Darren J. Zhang, Fengkai J Integr Bioinform Research Articles Computational models can help researchers to interpret data, understand biological functions, and make quantitative predictions. The Systems Biology Markup Language (SBML) is a file format for representing computational models in a declarative form that different software systems can exchange. SBML is oriented towards describing biological processes of the sort common in research on a number of topics, including metabolic pathways, cell signaling pathways, and many others. By supporting SBML as an input/output format, different tools can all operate on an identical representation of a model, removing opportunities for translation errors and assuring a common starting point for analyses and simulations. This document provides the specification for Release 2 of Version 2 of SBML Level 3 Core. The specification defines the data structures prescribed by SBML as well as their encoding in XML, the eXtensible Markup Language. Release 2 corrects some errors and clarifies some ambiguities discovered in Release 1. This specification also defines validation rules that determine the validity of an SBML document, and provides many examples of models in SBML form. Other materials and software are available from the SBML project website at http://sbml.org/. De Gruyter 2019-06-20 /pmc/articles/PMC6798823/ /pubmed/31219795 http://dx.doi.org/10.1515/jib-2019-0021 Text en © 2019, Michael Hucka et al., published by Walter de Gruyter GmbH, Berlin/Boston http://creativecommons.org/licenses/by/4.0 This work is licensed under the Creative Commons Attribution 4.0 Public License. |
spellingShingle | Research Articles Hucka, Michael Bergmann, Frank T. Chaouiya, Claudine Dräger, Andreas Hoops, Stefan Keating, Sarah M. König, Matthias Novère, Nicolas Le Myers, Chris J. Olivier, Brett G. Sahle, Sven Schaff, James C. Sheriff, Rahuman Smith, Lucian P. Waltemath, Dagmar Wilkinson, Darren J. Zhang, Fengkai The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2 |
title | The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2 |
title_full | The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2 |
title_fullStr | The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2 |
title_full_unstemmed | The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2 |
title_short | The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core Release 2 |
title_sort | systems biology markup language (sbml): language specification for level 3 version 2 core release 2 |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798823/ https://www.ncbi.nlm.nih.gov/pubmed/31219795 http://dx.doi.org/10.1515/jib-2019-0021 |
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