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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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| Publié dans: | Genome Biol |
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| Auteurs principaux: | , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2019
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| Sujets: | |
| Accès en ligne: | 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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