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...

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Detalles Bibliográficos
Autores principales: Çetin, Gizem S., Chen, Hao, Laine, Kim, Lauter, Kristin, Rindal, Peter, Xia, Yuhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5547495/
https://www.ncbi.nlm.nih.gov/pubmed/28786359
http://dx.doi.org/10.1186/s12920-017-0276-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5547495/
https://www.ncbi.nlm.nih.gov/pubmed/28786359
http://dx.doi.org/10.1186/s12920-017-0276-z

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