The simulation experiment description markup language (SED-ML): language specification for level 1 version 5

Author:

Smith Lucian P.1ORCID,Bergmann Frank T.2ORCID,Garny Alan3ORCID,Helikar Tomáš4ORCID,Karr Jonathan5ORCID,Nickerson David3ORCID,Sauro Herbert1ORCID,Waltemath Dagmar6ORCID,König Matthias7ORCID

Affiliation:

1. 7284 University of Washington , Seattle , USA

2. BioQUANT/COS , 132140 Heidelberg University , Heidelberg , Germany

3. Auckland Bioengineering Institute , 428614 The University of Auckland , Auckland , New Zealand

4. University of Nebraska , Lincoln , USA

5. 5925 Icahn School of Medicine at Mount Sinai , New York , USA

6. University of Greifswald , Greifswald , Germany

7. 9373 Humboldt University , Berlin , Germany

Abstract

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/.

Funder

The Federal Ministry of Education and Research (BMBF, Germany) within the research network Systems Medicine of the Liver

National Science Foundation

German Research Foundation (DFG) within the Research Unit Program FOR 5151 QuaLiPerF

National Institute of General Medical Sciences

National Institute for Biomedical Imaging and Bioengineering

Federal Ministry of Education and Research (BMBF, Germany) within the research network de.NBI

National Institute of Health Sciences

Publisher

Walter de Gruyter GmbH

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