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CellML 2.0.
Clerx, Michael; Cooling, Michael T; Cooper, Jonathan; Garny, Alan; Moyle, Keri; Nickerson, David P; Nielsen, Poul M F; Sorby, Hugh.
Afiliação
  • Clerx M; University of Oxford, Oxford, UK.
  • Cooling MT; University of Auckland, Auckland, New Zealand.
  • Cooper J; University College London, London, UK.
  • Garny A; University of Auckland, Auckland, New Zealand.
  • Moyle K; University of Auckland, Auckland, New Zealand.
  • Nickerson DP; University of Auckland, Auckland, New Zealand.
  • Nielsen PMF; University of Auckland, Auckland, New Zealand.
  • Sorby H; University of Auckland, Auckland, New Zealand.
J Integr Bioinform ; 17(2-3)2020 Jul 24.
Article em En | MEDLINE | ID: mdl-32759406
We present here CellML 2.0, an XML-based language for describing and exchanging mathematical models of physiological systems. MathML embedded in CellML documents is used to define the underlying mathematics of models. Models consist of a network of reusable components, each with variables and equations giving relationships between those variables. Models may import other models to create systems of increasing complexity. CellML 2.0 is defined by the normative specification presented here, prescribing the CellML syntax and the rules by which it should be used. The normative specification is intended primarily for the developers of software tools which directly consume CellML syntax. Users of CellML models may prefer to browse the informative rendering of the specification (https://cellml.org/specifications/cellml_2.0/) which extends the normative specification with explanations of the rules combined with examples of their usage.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: J Integr Bioinform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de publicação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Modelos Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: J Integr Bioinform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de publicação: Alemanha