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Publishing reproducible dynamic kinetic models

Authors :
Herbert M. Sauro
Lucian P. Smith
Veronica L. Porubsky
Source :
Brief Bioinform
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

Publishing repeatable and reproducible computational models is a crucial aspect of the scientific method in computational biology and one that is often forgotten in the rush to publish. The pressures of academic life and the lack of any reward system at institutions, granting agencies and journals means that publishing reproducible science is often either non-existent or, at best, presented in the form of an incomplete description. In the article, we will focus on repeatability and reproducibility in the systems biology field where a great many published models cannot be reproduced and in many cases even repeated. This review describes the current landscape of software tooling, model repositories, model standards and best practices for publishing repeatable and reproducible kinetic models. The review also discusses possible future remedies including working more closely with journals to help reviewers and editors ensure that published kinetic models are at minimum, repeatable. Contact: hsauro@uw.edu

Details

ISSN :
14774054 and 14675463
Volume :
22
Database :
OpenAIRE
Journal :
Briefings in Bioinformatics
Accession number :
edsair.doi.dedup.....b7b0676538673099bc927c4ce4db51c4