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Editorial Reproducibility of Computational Models.

Herbert M Sauro1, Kiri Choi1, Kyle Medley1

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|July 9, 2020
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Summary
This summary is machine-generated.

Tellurium is a Python platform that aids in creating reproducible systems biology models. It utilizes standards like Systems Biology Markup Language (SBML) and Simulation Experiment Description Markup Language (SED-ML) for enhanced model development.

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Area of Science:

  • Systems biology
  • Computational biology
  • Bioinformatics

Background:

  • Reproducibility is a critical challenge in systems biology model development.
  • Lack of standardized tools hinders the creation and sharing of reliable biological models.

Purpose of the Study:

  • To introduce Tellurium, a novel Python-based platform designed to facilitate the development of reproducible systems biology models.
  • To leverage existing standards for seamless integration and interoperability.

Main Methods:

  • Tellurium is implemented as a Python platform.
  • The platform integrates support for established standards such as Systems Biology Markup Language (SBML), Simulation Experiment Description Markup Language (SED-ML), and COMBINE archives.
  • These standards are exploited to ensure model reproducibility and facilitate data exchange.

Main Results:

  • Tellurium provides a robust environment for building and managing systems biology models.
  • The platform's adherence to standards like SBML, SED-ML, and COMBINE archives enhances model reproducibility and facilitates collaboration.
  • Users can develop, simulate, and share models with greater confidence in their reliability.

Conclusions:

  • Tellurium offers a valuable solution for the systems biology community by promoting reproducibility.
  • The platform's use of standard formats simplifies model development and enhances interoperability.
  • Tellurium empowers researchers to create more reliable and shareable computational models in biology.