Private queries on encrypted genomic data

• Principais autores: Gizem S. Çetin (Autor), Hao Chen (Autor), Kim Laine (Autor), Kristin Lauter (Autor), Peter Rindal (Autor), Yuhou Xia (Autor)
• Formato: Livro
• Publicado em: BMC, 2017-07-01T00:00:00Z.
• Assuntos: article
• Acesso em linha: 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...