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Private genome analysis through homomorphic encryption

BACKGROUND: The rapid development of genome sequencing technology allows researchers to access large genome datasets. However, outsourcing the data processing o the cloud poses high risks for personal privacy. The aim of this paper is to give a practical solution for this problem using homomorphic e...

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Detalles Bibliográficos
Autores principales:	Kim, Miran, Lauter, Kristin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2015
Materias:	Proceedings
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4699052/ https://www.ncbi.nlm.nih.gov/pubmed/26733152 http://dx.doi.org/10.1186/1472-6947-15-S5-S3

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