Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks

Autor: Dominik Gront, Kresten Lindorff-Larsen, Jack Maguire, Jens Meiler, Christopher D. Bahl, Jason S. Fell, Chris Bailey-Kellogg, Andrew M. Watkins, Frank DiMaio, Daniel P. Farrell, Jared Adolf-Bryfogle, Julia Koehler Leman, Frank D. Teets, Vladimir Yarov-Yarovoy, Ajasja Ljubetič, Shannon T. Smith, William A. Hansen, Steven M. Lewis, Justyna Krys, Shourya S. Roy Burman, Amelie Stein, Rhiju Das, David Baker, Vikram Khipple Mulligan, Jason W. Labonte, Georg Kuenze, William R. Schief, Rebecca F. Alford, Shane Ó Conchúir, Hope Woods, Tanja Kortemme, Johanna K. S. Tiemann, Sagar D. Khare, Sergey Lyskov, Ziv Ben-Aharon, Ora Schueler-Furman, Amanda L. Loshbaugh, Richard Bonneau, Brahm J. Yachnin, Andrew Leaver-Fay, Kyle A. Barlow, Phuong T. Nguyen, Jeliazko R. Jeliazkov, Jeffrey J. Gray, Justin B. Siegel, Rocco Moretti, Ameya Harmalkar, Brian Kuhlman
Rok vydání: 2021
Předmět:
Popis: Each year vast international resources are wasted on irreproducible research. The scientific community has been slow to adopt standard software engineering practices, despite the increases in high-dimensional data, complexities of workflows, and computational environments. Here we show how scientific software applications can be created in a reproducible manner when simple design goals for reproducibility are met. We describe the implementation of a test server framework and 40 scientific benchmarks, covering numerous applications in Rosetta bio-macromolecular modeling. High performance computing cluster integration allows these benchmarks to run continuously and automatically. Detailed protocol captures are useful for developers and users of Rosetta and other macromolecular modeling tools. The framework and design concepts presented here are valuable for developers and users of any type of scientific software and for the scientific community to create reproducible methods. Specific examples highlight the utility of this framework and the comprehensive documentation illustrates the ease of adding new tests in a matter of hours.
Databáze: OpenAIRE