Private queries on encrypted genomic data

• Auteurs principaux: Gizem S. Çetin (Auteur), Hao Chen (Auteur), Kim Laine (Auteur), Kristin Lauter (Auteur), Peter Rindal (Auteur), Yuhou Xia (Auteur)
• Format: Livre
• Publié: BMC, 2017-07-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

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...