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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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Bibliografski detalji
Izdano u:Genome Biol
Glavni autori: Taylor-Weiner, Amaro, Aguet, François, Haradhvala, Nicholas J., Gosai, Sager, Anand, Shankara, Kim, Jaegil, Ardlie, Kristin, Van Allen, Eliezer M., Getz, Gad
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2019
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6823959/
https://ncbi.nlm.nih.gov/pubmed/31675989
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-019-1836-7
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