Practical resources for enhancing the reproducibility of mechanistic modeling in systems biology. Issue 27 (September 2021)

• Record Type: Journal Article
• Authors: Blinov, Michael L.; Gennari, John H.; Karr, Jonathan R.; Moraru, Ion I.; Nickerson, David P.; Sauro, Herbert M.
• Is Part Of: Current opinion in systems biology. Issue 27(2021)
• Publication Date: 2021-09
• Subjects: Systems biology -- Mechanistic modeling -- Repeatability -- Reproducibility -- Reusability; Systems biology -- Periodicals; 570
• DOI: 10.1016/j.coisb.2021.06.001
• Languages: English
• ISSNs: 2452-3100

Abstract

Abstract: Although reproducibility is a core tenet of the scientific method, it remains challenging to reproduce many results. Tiwari et al. recently found that they could only repeat 50% of published simulation results in systems biology. We identified several resources that investigators can leverage to make their research more accessible, executable, and comprehensible by others., Enhanced reproducibility would accelerate the development of more sophisticated models that could inform precision medicine and synthetic biology. Highlights: Reproducibility is critical to the advancement of computational modeling. The current high degree of irreproducibility reduces the impact of many studies. Easy access, community standards, annotation, and curation promise to foster reproducibility. Better reproducibility would extend the lifespan of many studies. Repeating a study using the same data and software should be a requirement for a publication.