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Publishing reproducible dynamic kinetic models
- 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
- Subjects :
- Publishing
0303 health sciences
Computational model
business.industry
Computer science
Systems Biology
Best practice
0206 medical engineering
Computational Biology
02 engineering and technology
Models, Theoretical
Data science
Field (computer science)
Kinetics
03 medical and health sciences
Software
SBML
business
Molecular Biology
Publication
020602 bioinformatics
Method Review
030304 developmental biology
Information Systems
Subjects
Details
- ISSN :
- 14774054 and 14675463
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Briefings in Bioinformatics
- Accession number :
- edsair.doi.dedup.....b7b0676538673099bc927c4ce4db51c4