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Publikation: Zeitschriftenartikel
Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3)
Grunddaten
Abstract
Autoren
Einrichtung
Grunddaten
Titel
Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3)
Erscheinungsjahr
2018
Band
15
Heft-Nr.
1
Jahr
2018
Publikationsform
Elektronische Ressource
Publikationsart
Zeitschriftenartikel
Sprache
Englisch
DOI
10.1515/jib-2017-0086
Letzte Änderung
24.03.2021 06:04:35
Bearbeitungsstatus
durch UB Rostock abschließend validiert
Dauerhafte URL
http://purl.uni-rostock.de/fodb/pub/65461
Links zu Katalogen
Abstract
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.
Autoren
Bergmann, Frank T.
Olivier, Brett G.
Sahle, Sven
Waltemath, Dagmar
Einrichtung
IEF/IN/IFI/Systembiologie und Bioinformatik