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The simulation experiment description markup language (SED-ML): language specification for level 1 version 5.
Smith, Lucian P; Bergmann, Frank T; Garny, Alan; Helikar, Tomás; Karr, Jonathan; Nickerson, David; Sauro, Herbert; Waltemath, Dagmar; König, Matthias.
Afiliação
  • Smith LP; 7284 University of Washington , Seattle, USA.
  • Bergmann FT; BioQUANT/COS, 132140 Heidelberg University , Heidelberg, Germany.
  • Garny A; Auckland Bioengineering Institute, 428614 The University of Auckland , Auckland, New Zealand.
  • Helikar T; University of Nebraska, Lincoln, USA.
  • Karr J; 5925 Icahn School of Medicine at Mount Sinai , New York, USA.
  • Nickerson D; Auckland Bioengineering Institute, 428614 The University of Auckland , Auckland, New Zealand.
  • Sauro H; 7284 University of Washington , Seattle, USA.
  • Waltemath D; University of Greifswald, Greifswald, Germany.
  • König M; 9373 Humboldt University , Berlin, Germany.
J Integr Bioinform ; 2024 Apr 15.
Article em En | MEDLINE | ID: mdl-38613325
ABSTRACT
Modern biological research is increasingly informed by computational simulation experiments, which necessitate the development of methods for annotating, archiving, sharing, and reproducing the conducted experiments. These simulations increasingly require extensive collaboration among modelers, experimentalists, and engineers. The Minimum Information About a Simulation Experiment (MIASE) guidelines outline the information needed to share simulation experiments. SED-ML is a computer-readable format for the information outlined by MIASE, created as a community project and supported by many investigators and software tools. Level 1 Version 5 of SED-ML expands the ability of modelers to define simulations in SED-ML using the Kinetic Simulation Algorithm Onotoloy (KiSAO). While it was possible in Version 4 to define a simulation entirely using KiSAO, Version 5 now allows users to define tasks, model changes, ranges, and outputs using the ontology as well. SED-ML is supported by a growing ecosystem of investigators, model languages, and software tools, including various languages for constraint-based, kinetic, qualitative, rule-based, and spatial models, and many simulation tools, visual editors, model repositories, and validators. Additional information about SED-ML is available at https//sed-ml.org/.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Integr Bioinform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Integr Bioinform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos