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

Internet

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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