Framing Apache Spark in life sciences

Advances in high-throughput and digital technologies have required the adoption of big data for handling complex tasks in life sciences. However, the drift to big data led researchers to face technical and infrastructural challenges for storing, sharing, and analysing them. In fact, this kind of tas...

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Detalles Bibliográficos
Autores principales: Manconi, Andrea, Gnocchi, Matteo, Milanesi, Luciano, Marullo, Osvaldo, Armano, Giuliano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958288/
https://www.ncbi.nlm.nih.gov/pubmed/36852030
http://dx.doi.org/10.1016/j.heliyon.2023.e13368

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958288/
https://www.ncbi.nlm.nih.gov/pubmed/36852030
http://dx.doi.org/10.1016/j.heliyon.2023.e13368

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