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The systems biology markup language (SBML): language specification for level 3 version 2 core release 2

<section class="abstract"><h2 class="abstractTitle text-title my-1" id="d2018e2">Abstract</h2><p>Computational models can help researchers to interpret data, understand biological functions, and make quantitative predictions. The <strong>S&...

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Hauptverfasser: Hucka, Michael (VerfasserIn) , Bergmann, Frank T. (VerfasserIn) , Chaouiya, Claudine (VerfasserIn) , Dräger, Andreas (VerfasserIn) , Hoops, Stefan (VerfasserIn) , Keating, Sarah M. (VerfasserIn) , König, Matthias (VerfasserIn) , Le Novère, Nicolas (VerfasserIn) , Myers, Chris J. (VerfasserIn) , Olivier, Brett G. (VerfasserIn) , Sahle, Sven (VerfasserIn) , Schaff, James C. (VerfasserIn) , Malik Sheriff, Rahuman S. (VerfasserIn) , Smith, Lucian P. (VerfasserIn) , Waltemath, Dagmar (VerfasserIn) , Wilkinson, Darren J. (VerfasserIn) , Zhang, Fengkai (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 20.06.2019
In: Journal of integrative bioinformatics
Year: 2019, Jahrgang: 16, Heft: 2
ISSN:1613-4516
DOI:10.1515/jib-2019-0021
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1515/jib-2019-0021
Verlag, lizenzpflichtig, Volltext: https://www.degruyterbrill.com/view/journals/jib/16/2/article-20190021.xml
Volltext
Verfasserangaben:Michael Hucka, Frank T. Bergmann, Claudine Chaouiya, Andreas Dräger, Stefan Hoops, Sarah M. Keating, Matthias König, Nicolas Le Novère, Chris J. Myers, Brett G. Olivier, Sven Sahle, James C. Schaff, Rahuman Sheriff, Lucian P. Smith, Dagmar Waltemath, Darren J. Wilkinson, Fengkai Zhang
Beschreibung
Zusammenfassung:<section class="abstract"><h2 class="abstractTitle text-title my-1" id="d2018e2">Abstract</h2><p>Computational models can help researchers to interpret data, understand biological functions, and make quantitative predictions. The <strong>S</strong>ystems <strong>B</strong>iology <strong>M</strong>arkup <strong>L</strong>anguage (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 <em>Release 2</em> of <em>Version 2</em> of <em>SBML Level 3 Core</em>. The specification defines the data structures prescribed by SBML as well as their encoding in XML, the eXtensible Markup Language. <em>Release 2</em> corrects some errors and clarifies some ambiguities discovered in <em>Release 1</em>. 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 <a href="http://sbml.org/" target="_blank">http://sbml.org/</a>.</p></section>
Beschreibung:Gesehen am 19.06.2020
Beschreibung:Online Resource
ISSN:1613-4516
DOI:10.1515/jib-2019-0021

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