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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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| Pubblicato in: | Genome Biol |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2019
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| Soggetti: | |
| Accesso online: | 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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