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Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing
BACKGROUND: A lack of transparency and reporting standards in the scientific community has led to increasing and widespread concerns relating to reproduction and integrity of results. As an omics science, which generates vast amounts of data and relies heavily on data science for deriving biological...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6745024/ https://www.ncbi.nlm.nih.gov/pubmed/31522294 http://dx.doi.org/10.1007/s11306-019-1588-0 |