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Private queries on encrypted genomic data
BACKGROUND: One of the tasks in the iDASH Secure Genome Analysis Competition in 2016 was to demonstrate the feasibility of privacy-preserving queries on homomorphically encrypted genomic data. More precisely, given a list of up to 100,000 mutations, the task was to encrypt the data using homomorphic...
Enregistré dans:
| Publié dans: | BMC Med Genomics |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5547495/ https://ncbi.nlm.nih.gov/pubmed/28786359 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-017-0276-z |
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