Back to Search Start Over

The simulation experiment description markup language (SED-ML): language specification for level 1 version 4

Authors :
Smith Lucian P.
Bergmann Frank T.
Garny Alan
Helikar Tomáš
Karr Jonathan
Nickerson David
Sauro Herbert
Waltemath Dagmar
König Matthias
Source :
Journal of Integrative Bioinformatics, Vol 18, Iss 3 (2021)
Publication Year :
2021
Publisher :
De Gruyter, 2021.

Abstract

Computational simulation experiments increasingly inform modern biological research, and bring with them the need to provide ways to annotate, archive, share and reproduce the experiments performed. 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. The first versions of SED-ML focused on deterministic and stochastic simulations of models. Level 1 Version 4 of SED-ML substantially expands these capabilities to cover additional types of models, model languages, parameter estimations, simulations and analyses of models, and analyses and visualizations of simulation results. To facilitate consistent practices across the community, Level 1 Version 4 also more clearly describes the use of SED-ML constructs, and includes numerous concrete validation rules. SED-ML is supported by a growing ecosystem of investigators, model languages, and software tools, including eight languages for constraint-based, kinetic, qualitative, rule-based, and spatial models, over 20 simulation tools, visual editors, model repositories, and validators. Additional information about SED-ML is available at https://sed-ml.org/.

Details

Language :
English
ISSN :
16134516
Volume :
18
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Journal of Integrative Bioinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.3e082884483b497e96fb673bde173426
Document Type :
article
Full Text :
https://doi.org/10.1515/jib-2021-0021