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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
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| Materias: | |
| 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 |