Scaling computational genomics to millions of individuals with GPUs

Current genomics methods are designed to handle tens to thousands of samples but will need to scale to millions to match the pace of data and hypothesis generation in biomedical science. Here, we show that high efficiency at low cost can be achieved by leveraging general-purpose libraries for comput...

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Detalles Bibliográficos
Autores principales: Taylor-Weiner, Amaro, Aguet, François, Haradhvala, Nicholas J., Gosai, Sager, Anand, Shankara, Kim, Jaegil, Ardlie, Kristin, Van Allen, Eliezer M., Getz, Gad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823959/
https://www.ncbi.nlm.nih.gov/pubmed/31675989
http://dx.doi.org/10.1186/s13059-019-1836-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6823959/
https://www.ncbi.nlm.nih.gov/pubmed/31675989
http://dx.doi.org/10.1186/s13059-019-1836-7

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