Abstract
Benchmarking, which involves collecting reference datasets and demonstrating method performance, is a requirement for the development of new computational tools, but also becomes a domain of its own to achieve neutral comparisons of methods. Although a lot has been written about how to design and conduct benchmark studies, this Perspective sheds light on a wish list for a computational platform to orchestrate benchmark studies. We discuss various ideas for organizing reproducible software environments, formally defining benchmarks, orchestrating standardized workflows, and how they interface with computing infrastructure.
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CITATION STYLE
Mallona, I., Soneson, C., Carrillo, B., Lütge, A., Incicau, D., Gerber, R., … Robinson, M. D. (2025). Building a continuous benchmarking ecosystem in bioinformatics. PLOS Computational Biology, 21(11), 1–15. https://doi.org/10.1371/journal.pcbi.1013658
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