Private queries on encrypted genomic data

Private queries on encrypted genomic data

Abstract 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 hom...

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Bibliographic Details
Main Authors: Gizem S. Çetin, Hao Chen, Kim Laine, Kristin Lauter, Peter Rindal, Yuhou Xia
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Medical Genomics
Subjects:
Cryptography
Homomorphic encryption
Genome privacy
Online Access:http://link.springer.com/article/10.1186/s12920-017-0276-z

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http://link.springer.com/article/10.1186/s12920-017-0276-z

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