Tracking the NGS revolution: managing life science research on shared high-performance computing clusters

BACKGROUND: Next-generation sequencing (NGS) has transformed the life sciences, and many research groups are newly dependent upon computer clusters to store and analyze large datasets. This creates challenges for e-infrastructures accustomed to hosting computationally mature research in other scienc...

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Detalles Bibliográficos
Autores principales: Dahlö, Martin, Scofield, Douglas G, Schaal, Wesley, Spjuth, Ola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928410/
https://www.ncbi.nlm.nih.gov/pubmed/29659792
http://dx.doi.org/10.1093/gigascience/giy028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928410/
https://www.ncbi.nlm.nih.gov/pubmed/29659792
http://dx.doi.org/10.1093/gigascience/giy028

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