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...

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Detalles Bibliográficos
Autores principales: Mendez, Kevin M., Pritchard, Leighton, Reinke, Stacey N., Broadhurst, David I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2019
Materias:
Review Article
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

Internet

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

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