Best Practices for Scientific Computing
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Abstract
Suggested Citation
DOI: 10.1371/journal.pbio.1001745
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Citations
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Cited by:
- Benjamin D Lee, 2018. "Ten simple rules for documenting scientific software," PLOS Computational Biology, Public Library of Science, vol. 14(12), pages 1-6, December.
- Glenda M Yenni & Erica M Christensen & Ellen K Bledsoe & Sarah R Supp & Renata M Diaz & Ethan P White & S K Morgan Ernest, 2019. "Developing a modern data workflow for regularly updated data," PLOS Biology, Public Library of Science, vol. 17(1), pages 1-12, January.
- Daniel NĂ¼st & Vanessa Sochat & Ben Marwick & Stephen J Eglen & Tim Head & Tony Hirst & Benjamin D Evans, 2020. "Ten simple rules for writing Dockerfiles for reproducible data science," PLOS Computational Biology, Public Library of Science, vol. 16(11), pages 1-24, November.
- John D Blischak & Emily R Davenport & Greg Wilson, 2016. "A Quick Introduction to Version Control with Git and GitHub," PLOS Computational Biology, Public Library of Science, vol. 12(1), pages 1-18, January.
- Sean C Anderson & Cole C Monnahan & Kelli F Johnson & Kotaro Ono & Juan L Valero, 2014. "ss3sim: An R Package for Fisheries Stock Assessment Simulation with Stock Synthesis," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-7, April.
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