PLoS Computational Biology (Jun 2018)

Tellurium notebooks-An environment for reproducible dynamical modeling in systems biology.

  • J Kyle Medley,
  • Kiri Choi,
  • Matthias König,
  • Lucian Smith,
  • Stanley Gu,
  • Joseph Hellerstein,
  • Stuart C Sealfon,
  • Herbert M Sauro

DOI
https://doi.org/10.1371/journal.pcbi.1006220
Journal volume & issue
Vol. 14, no. 6
p. e1006220

Abstract

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The considerable difficulty encountered in reproducing the results of published dynamical models limits validation, exploration and reuse of this increasingly large biomedical research resource. To address this problem, we have developed Tellurium Notebook, a software system for model authoring, simulation, and teaching that facilitates building reproducible dynamical models and reusing models by 1) providing a notebook environment which allows models, Python code, and narrative to be intermixed, 2) supporting the COMBINE archive format during model development for capturing model information in an exchangeable format and 3) enabling users to easily simulate and edit public COMBINE-compliant models from public repositories to facilitate studying model dynamics, variants and test cases. Tellurium Notebook, a Python-based Jupyter-like environment, is designed to seamlessly inter-operate with these community standards by automating conversion between COMBINE standards formulations and corresponding in-line, human-readable representations. Thus, Tellurium brings to systems biology the strategy used by other literate notebook systems such as Mathematica. These capabilities allow users to edit every aspect of the standards-compliant models and simulations, run the simulations in-line, and re-export to standard formats. We provide several use cases illustrating the advantages of our approach and how it allows development and reuse of models without requiring technical knowledge of standards. Adoption of Tellurium should accelerate model development, reproducibility and reuse.