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- W4254323394 abstract "Rapid technological advances, such as the development of next-generation sequencing, are driving the need for comprehensive computational tools to analyse the wealth of generated genomic data. Systematic benchmarking has been successful in many research disciplines to help non-computational researchers evaluate the accuracy and applicability of new computational tools. Adopting a standardized benchmarking practice and following established principles for the design of new benchmarking studies could help researchers using omics data to better leverage technological innovation. In this Review, we propose step-by-step instructions for increasing reusability, transparency, and reproducibility of benchmarking studies by using containerization, common data representation, open data, and systematic parameter description." @default.
- W4254323394 created "2022-05-12" @default.
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- W4254323394 date "2018-06-12" @default.
- W4254323394 modified "2023-10-14" @default.
- W4254323394 title "Towards reproducible, transparent, and systematic benchmarking of omics computational tools" @default.
- W4254323394 doi "https://doi.org/10.31219/osf.io/p8yd9" @default.
- W4254323394 hasPublicationYear "2018" @default.
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