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Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3)
The creation of computational simulation experiments to inform modern biological research poses challenges to reproduce, annotate, archive, and share such experiments. Efforts such as SBML or CellML standardize the formal representation of computational models in various areas of biology. The Simula...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
De Gruyter
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167040/ https://www.ncbi.nlm.nih.gov/pubmed/29550789 http://dx.doi.org/10.1515/jib-2017-0086 |
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author | Bergmann, Frank T. Cooper, Jonathan König, Matthias Moraru, Ion Nickerson, David Le Novère, Nicolas Olivier, Brett G. Sahle, Sven Smith, Lucian Waltemath, Dagmar |
author_facet | Bergmann, Frank T. Cooper, Jonathan König, Matthias Moraru, Ion Nickerson, David Le Novère, Nicolas Olivier, Brett G. Sahle, Sven Smith, Lucian Waltemath, Dagmar |
author_sort | Bergmann, Frank T. |
collection | PubMed |
description | The creation of computational simulation experiments to inform modern biological research poses challenges to reproduce, annotate, archive, and share such experiments. Efforts such as SBML or CellML standardize the formal representation of computational models in various areas of biology. The Simulation Experiment Description Markup Language (SED-ML) describes what procedures the models are subjected to, and the details of those procedures. These standards, together with further COMBINE standards, describe models sufficiently well for the reproduction of simulation studies among users and software tools. The Simulation Experiment Description Markup Language (SED-ML) is an XML-based format that encodes, for a given simulation experiment, (i) which models to use; (ii) which modifications to apply to models before simulation; (iii) which simulation procedures to run on each model; (iv) how to post-process the data; and (v) how these results should be plotted and reported. SED-ML Level 1 Version 1 (L1V1) implemented support for the encoding of basic time course simulations. SED-ML L1V2 added support for more complex types of simulations, specifically repeated tasks and chained simulation procedures. SED-ML L1V3 extends L1V2 by means to describe which datasets and subsets thereof to use within a simulation experiment. |
format | Online Article Text |
id | pubmed-6167040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | De Gruyter |
record_format | MEDLINE/PubMed |
spelling | pubmed-61670402019-01-28 Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3) Bergmann, Frank T. Cooper, Jonathan König, Matthias Moraru, Ion Nickerson, David Le Novère, Nicolas Olivier, Brett G. Sahle, Sven Smith, Lucian Waltemath, Dagmar J Integr Bioinform Article The creation of computational simulation experiments to inform modern biological research poses challenges to reproduce, annotate, archive, and share such experiments. Efforts such as SBML or CellML standardize the formal representation of computational models in various areas of biology. The Simulation Experiment Description Markup Language (SED-ML) describes what procedures the models are subjected to, and the details of those procedures. These standards, together with further COMBINE standards, describe models sufficiently well for the reproduction of simulation studies among users and software tools. The Simulation Experiment Description Markup Language (SED-ML) is an XML-based format that encodes, for a given simulation experiment, (i) which models to use; (ii) which modifications to apply to models before simulation; (iii) which simulation procedures to run on each model; (iv) how to post-process the data; and (v) how these results should be plotted and reported. SED-ML Level 1 Version 1 (L1V1) implemented support for the encoding of basic time course simulations. SED-ML L1V2 added support for more complex types of simulations, specifically repeated tasks and chained simulation procedures. SED-ML L1V3 extends L1V2 by means to describe which datasets and subsets thereof to use within a simulation experiment. De Gruyter 2018-03-19 /pmc/articles/PMC6167040/ /pubmed/29550789 http://dx.doi.org/10.1515/jib-2017-0086 Text en ©2018, Frank T. Bergmann et al., published by De Gruyter, Berlin/Boston http://creativecommons.org/licenses/by-nc-nd/4.0 This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. |
spellingShingle | Article Bergmann, Frank T. Cooper, Jonathan König, Matthias Moraru, Ion Nickerson, David Le Novère, Nicolas Olivier, Brett G. Sahle, Sven Smith, Lucian Waltemath, Dagmar Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3) |
title | Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3) |
title_full | Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3) |
title_fullStr | Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3) |
title_full_unstemmed | Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3) |
title_short | Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3) |
title_sort | simulation experiment description markup language (sed-ml) level 1 version 3 (l1v3) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6167040/ https://www.ncbi.nlm.nih.gov/pubmed/29550789 http://dx.doi.org/10.1515/jib-2017-0086 |
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