A call for virtual experiments: accelerating the scientific process

Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models,...

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Main Authors: Cooper, J, Vik, J, Waltemath, D
Format: Journal article
Published: Elsevier 2015
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author Cooper, J
Vik, J
Waltemath, D
author_facet Cooper, J
Vik, J
Waltemath, D
author_sort Cooper, J
collection OXFORD
description Experimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology.
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spelling oxford-uuid:7ee0d8a8-ec14-4898-a085-9214610d674b2022-03-26T21:13:04ZA call for virtual experiments: accelerating the scientific processJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:7ee0d8a8-ec14-4898-a085-9214610d674bSymplectic Elements at OxfordElsevier2015Cooper, JVik, JWaltemath, DExperimentation is fundamental to the scientific method, whether for exploration, description or explanation. We argue that promoting the reuse of virtual experiments (the in silico analogues of wet-lab or field experiments) would vastly improve the usefulness and relevance of computational models, encouraging critical scrutiny of models and serving as a common language between modellers and experimentalists. We review the benefits of reusable virtual experiments: in specifying, assaying, and comparing the behavioural repertoires of models; as prerequisites for reproducible research; to guide model reuse and composition; and for quality assurance in the translational application of models. A key step towards achieving this is that models and experimental protocols should be represented separately, but annotated so as to facilitate the linking of models to experiments and data. Lastly, we outline how the rigorous, streamlined confrontation between experimental datasets and candidate models would enable a “continuous integration” of biological knowledge, transforming our approach to systems biology.
spellingShingle Cooper, J
Vik, J
Waltemath, D
A call for virtual experiments: accelerating the scientific process
title A call for virtual experiments: accelerating the scientific process
title_full A call for virtual experiments: accelerating the scientific process
title_fullStr A call for virtual experiments: accelerating the scientific process
title_full_unstemmed A call for virtual experiments: accelerating the scientific process
title_short A call for virtual experiments: accelerating the scientific process
title_sort call for virtual experiments accelerating the scientific process
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