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Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research
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Reproducible Research Using Biomodels.

Pedro Mendes1

  • 1Center for Quantitative Medicine and Department of Cell Biology, University of Connecticut School of Medicine, Farmington, CT, 06030, USA. pmendes@uchc.edu.

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|September 8, 2018
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Summary
This summary is machine-generated.

Reproducibility in biological modeling and simulation (biomodels) requires sharing detailed methods and results. Utilizing standard formats and public repositories can significantly enhance the ability to reproduce biomodels.

Keywords:
BiomodelsReproducibilityStandards

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Area of Science:

  • Computational Biology
  • Systems Biology
  • Bioinformatics

Background:

  • Computational research, including biological modeling and simulation (biomodels), often lacks sufficient detail for independent result reproduction.
  • Reproducibility is a cornerstone of scientific integrity and progress.

Purpose of the Study:

  • To highlight the challenges in reproducing biomodels.
  • To propose practical solutions for enhancing the reproducibility of computational research in biology.

Main Methods:

  • Reviewing current practices in communicating biomodels.
  • Identifying existing resources and standards for model sharing.
  • Advocating for the adoption of standardized formats and public repositories.

Main Results:

  • Biomodels are frequently communicated without adequate detail for replication.
  • Existing resources can facilitate independent reproduction of results.
  • Standardized formats and public code/model repositories are key to achieving reproducibility.

Conclusions:

  • Enhancing the reproducibility of biomodels is achievable through established methods.
  • Widespread adoption of standard formats and public repositories is crucial for the advancement of computational biology.