The five pillars of computational reproducibility: bioinformatics and beyond
Abstract Computational reproducibility is a simple premise in theory, but is difficult to achieve in practice. Building upon past efforts and proposals to maximize reproducibility and rigor in bioinformatics, we present a framework called the five pillars of reproducible computational research. Thes...
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| Vydané v: | Briefings in bioinformatics Ročník 24; číslo 6; s. 1 - 13 |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
England
Oxford University Press
22.09.2023
Oxford Publishing Limited (England) Oxford University Press (OUP) |
| Predmet: | |
| ISSN: | 1467-5463, 1477-4054, 1477-4054 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | Abstract
Computational reproducibility is a simple premise in theory, but is difficult to achieve in practice. Building upon past efforts and proposals to maximize reproducibility and rigor in bioinformatics, we present a framework called the five pillars of reproducible computational research. These include (1) literate programming, (2) code version control and sharing, (3) compute environment control, (4) persistent data sharing and (5) documentation. These practices will ensure that computational research work can be reproduced quickly and easily, long into the future. This guide is designed for bioinformatics data analysts and bioinformaticians in training, but should be relevant to other domains of study. |
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| Bibliografia: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Literature Review-3 content type line 23 |
| ISSN: | 1467-5463 1477-4054 1477-4054 |
| DOI: | 10.1093/bib/bbad375 |