Literature DB >> 26528560

Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 2.

Frank T Bergmann, Jonathan Cooper, Nicolas Le Novère, David Nickerson, Dagmar Waltemath.   

Abstract

The number, size and complexity of computational models of biological systems are growing at an ever increasing pace. It is imperative to build on existing studies by reusing and adapting existing models and parts thereof. The description of the structure of models is not sufficient to enable the reproduction of simulation results. One also needs to describe the procedures the models are subjected to, as recommended by the Minimum Information About a Simulation Experiment (MIASE) guidelines. This document presents Level 1 Version 2 of the Simulation Experiment Description Markup Language (SED-ML), a computer-readable format for encoding simulation and analysis experiments to apply to computational models. SED-ML files are encoded in the Extensible Markup Language (XML) and can be used in conjunction with any XML-based model encoding format, such as CellML or SBML. A SED-ML file includes details of which models to use, how to modify them prior to executing a simulation, which simulation and analysis procedures to apply, which results to extract and how to present them. Level 1 Version 2 extends the format by allowing the encoding of repeated and chained procedures.

Mesh:

Year:  2015        PMID: 26528560     DOI: 10.2390/biecoll-jib-2015-262

Source DB:  PubMed          Journal:  J Integr Bioinform        ISSN: 1613-4516


  6 in total

1.  SED-ML web tools: generate, modify and export standard-compliant simulation studies.

Authors:  Frank T Bergmann; David Nickerson; Dagmar Waltemath; Martin Scharm
Journal:  Bioinformatics       Date:  2017-04-15       Impact factor: 6.937

2.  Meeting the multiscale challenge: representing physiology processes over ApiNATOMY circuits using bond graphs.

Authors:  B de Bono; S Safaei; P Grenon; P Hunter
Journal:  Interface Focus       Date:  2017-12-15       Impact factor: 3.906

3.  FAIRDOMHub: a repository and collaboration environment for sharing systems biology research.

Authors:  Katherine Wolstencroft; Olga Krebs; Jacky L Snoep; Natalie J Stanford; Finn Bacall; Martin Golebiewski; Rostyk Kuzyakiv; Quyen Nguyen; Stuart Owen; Stian Soiland-Reyes; Jakub Straszewski; David D van Niekerk; Alan R Williams; Lars Malmström; Bernd Rinn; Wolfgang Müller; Carole Goble
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

4.  Specifications of Standards in Systems and Synthetic Biology: Status and Developments in 2016.

Authors:  Falk Schreiber; Gary D Bader; Padraig Gleeson; Martin Golebiewski; Michael Hucka; Nicolas Le Novère; Chris Myers; David Nickerson; Björn Sommer; Dagmar Walthemath
Journal:  J Integr Bioinform       Date:  2016-12-18

5.  BioLQM: A Java Toolkit for the Manipulation and Conversion of Logical Qualitative Models of Biological Networks.

Authors:  Aurélien Naldi
Journal:  Front Physiol       Date:  2018-11-19       Impact factor: 4.566

6.  A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows.

Authors:  Pei-Chi Yang; Shweta Purawat; Pek U Ieong; Mao-Tsuen Jeng; Kevin R DeMarco; Igor Vorobyov; Andrew D McCulloch; Ilkay Altintas; Rommie E Amaro; Colleen E Clancy
Journal:  PLoS Comput Biol       Date:  2019-03-08       Impact factor: 4.475

  6 in total

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