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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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Dades bibliogràfiques
Publicat a:BMC Med Inform Decis Mak
Autors principals: Kim, Miran, Lauter, Kristin
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2015
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4699052/
https://ncbi.nlm.nih.gov/pubmed/26733152
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-15-S5-S3
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