Reproducibility of model-based results in systems biology

Dagmar Waltemath*, Ron Henkel, Felix Winter, Olaf Wolkenhauer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

8 Scopus citations

Abstract

Science requires that results are reproducible. This is naturally expected for wet-lab experiments and it is equally important for model-based results published in the literature. Reproducibility, in general, requires standards that provide the information necessary and tools that enable others to re-use this information. In computational biology, reproducibility requires not only a coded form of the model but also a coded form of the experimental setup to reproduce the analysis of the model. Well-established databases and repositories store and provide mathematical models. Recently, these databases started to distribute simulation setups together with the model code. These developments facilitate the reproduction of results. In this chapter, we outline the necessary steps towards reproducing model-based results in computational biology. We exemplify the workflow using a prominent example model of the Cell Cycle and state-of-the-art tools and standards.

Original languageEnglish
Title of host publicationSystems Biology
Subtitle of host publicationIntegrative Biology and Simulation Tools
PublisherSpringer
Pages301-320
Number of pages20
ISBN (Electronic)9789400768031
ISBN (Print)9789400768024
DOIs
StatePublished - 1 Jan 2013
Externally publishedYes

Keywords

  • CellML
  • Model management
  • Reproducibility
  • SBML
  • SED-ML
  • Simulation experiments
  • Standards

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