SED-ML – An XML Format for the Implementation of the MIASE Guidelines

  • Dagmar Köhn
  • Nicolas Le Novère
Conference paper

DOI: 10.1007/978-3-540-88562-7_15

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5307)
Cite this paper as:
Köhn D., Le Novère N. (2008) SED-ML – An XML Format for the Implementation of the MIASE Guidelines. In: Heiner M., Uhrmacher A.M. (eds) Computational Methods in Systems Biology. CMSB 2008. Lecture Notes in Computer Science, vol 5307. Springer, Berlin, Heidelberg

Abstract

Share and reuse of biochemical models have become two of the main issues in the field of Computational Systems Biology. There already exist widely-accepted formats to encode the structure of models. However, the problem of describing the simulations to be run using those models has not yet been tackled in a satisfactory way. The community believes that providing detailed information about simulation recipes will highly improve the efficient use of existing models. Accordingly a set of guidelines called the Minimum Information About a Simulation Experiment (MIASE) is currently under development. It covers information about the simulation settings, including information about the models, changes on them, simulation settings applied to the models and output definitions. Here we present the Simulation Experiment Description Markup Language (SED-ML), an XML format that enables the storage and exchange of part of the information required to implement the MIASE guidelines. SED-ML is independent of the formats used to encode the models – as long as they are expressed in XML –, and it is independent of the software tools used to run the simulations. Several test implementations are being developed to benchmark SED-ML on simple cases, and pave the way to a more complete support of MIASE.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Dagmar Köhn
    • 1
  • Nicolas Le Novère
    • 2
  1. 1.Research Training School dIEM oSiRiSUniversity of RostockGermany
  2. 2.European Bioinformatics InstituteHinxtonUK

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