Evaluation of serverless computing for scalable execution of a joint variant calling workflow.
Advances in whole-genome sequencing have greatly reduced the cost and time of obtaining raw genetic information, but the computational requirements of analysis remain a challenge. Serverless computing has emerged as an alternative to using dedicated compute resources, but its utility has not been wi...
Guardado en:
Autores principales: | Aji John, Kathleen Muenzen, Kristiina Ausmees |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/2b72b067a19a473b82e50d3191c4398e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Cost-efficient service selection and execution and blockchain-enabled serverless network for internet of medical things
por: Abdullah Lakhan, et al.
Publicado: (2021) -
A scalable workflow to characterize the human exposome
por: Xin Hu, et al.
Publicado: (2021) -
Accurate and scalable variant calling from single cell DNA sequencing data with ProSolo
por: David Lähnemann, et al.
Publicado: (2021) -
Mass molecular testing for COVID19 using NGS-based technology and a highly scalable workflow
por: Fernanda de Mello Malta, et al.
Publicado: (2021) -
Data integration workflow for search of disease driving genes and genetic variants.
por: Sirkku Karinen, et al.
Publicado: (2011)