Improving reproducibility in computational biology research
PLoS Comput Biol
.
2020 May 19;16(5):e1007881.
doi: 10.1371/journal.pcbi.1007881.
eCollection 2020 May.
Authors
Jason A Papin
1
,
Feilim Mac Gabhann
2
,
Herbert M Sauro
3
,
David Nickerson
4
,
Anand Rampadarath
4
Affiliations
1
Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America.
2
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America.
3
Department of Bioengineering, University of Washington, Seattle, Washington, United States of America.
4
Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
PMID:
32427998
PMCID:
PMC7236972
DOI:
10.1371/journal.pcbi.1007881
No abstract available
Publication types
Editorial
MeSH terms
Computational Biology / standards*
Reproducibility of Results
Research
Grants and funding
The authors received no specific funding for this work.