Building a continuous benchmarking ecosystem in bioinformatics

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.

Authors

Publication Details

Journal
Universität Zürich, ZORA
Published
2025-11-13
DOI
https://doi.org/10.5167/uzh-283579
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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Building a continuous benchmarking ecosystem in bioinformatics

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Universität Zürich, ZORA
Scientific Computing and Data Management
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Building a continuous benchmarking ecosystem in bioinformatics

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article en

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.

Universität Zürich, ZORA
Industry, innovation and infrastructure
Openalex Percentile: Top 11%
Scientific Computing and Data Management
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