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Ten simple rules for writing Dockerfiles for reproducible data science
Computational science has been greatly improved by the use of containers for packaging software and data dependencies. In a scholarly context, the main drivers for using these containers are transparency and support of reproducibility; in turn, a workflow’s reproducibility can be greatly affected by...
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| Publicado en: | PLoS Comput Biol |
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| Autores principales: | , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7654784/ https://ncbi.nlm.nih.gov/pubmed/33170857 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008316 |
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