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Scaling computational genomics to millions of individuals with GPUs
Abstract 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 f...
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| Main Authors: | , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2019-11-01
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| Colecção: | Genome Biology |
| Acesso em linha: | http://link.springer.com/article/10.1186/s13059-019-1836-7 |
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