Rapid development of cloud-native intelligent data pipelines for scientific data streams using the HASTE Toolkit

BACKGROUND: Large streamed datasets, characteristic of life science applications, are often resource-intensive to process, transport and store. We propose a pipeline model, a design pattern for scientific pipelines, where an incoming stream of scientific data is organized into a tiered or ordered “d...

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Detalles Bibliográficos
Autores principales: Blamey, Ben, Toor, Salman, Dahlö, Martin, Wieslander, Håkan, Harrison, Philip J, Sintorn, Ida-Maria, Sabirsh, Alan, Wählby, Carolina, Spjuth, Ola, Hellander, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7976223/
https://www.ncbi.nlm.nih.gov/pubmed/33739401
http://dx.doi.org/10.1093/gigascience/giab018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7976223/
https://www.ncbi.nlm.nih.gov/pubmed/33739401
http://dx.doi.org/10.1093/gigascience/giab018

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