Sketching algorithms for genomic data analysis and querying in a secure enclave

Genome-wide association studies (GWAS), especially on rare diseases, may necessitate exchange of sensitive genomic data between multiple institutions. Since genomic data sharing is often infeasible due to privacy concerns, cryptographic methods, such as secure multiparty computation (SMC) protocols,...

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Bibliographic Details
Published in:	Nature methods Vol. 17; no. 3; pp. 295 - 301
Main Authors:	Kockan, Can, Zhu, Kaiyuan, Dokmai, Natnatee, Karpov, Nikolai, Kulekci, M. Oguzhan, Woodruff, David P., Sahinalp, S. Cenk
Format:	Journal Article
Language:	English
Published:	New York Nature Publishing Group US 01.03.2020 Nature Publishing Group
Subjects:	631/114/2785 631/114/794 Algorithms Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology Cloud computing Collaboration Compression Computational biology Computational Biology - methods Computer applications Cryptography Data analysis Data compression Data retrieval Data structures Genetic research Genetic Variation Genome, Human Genome-wide association studies Genome-Wide Association Study Genomes Genomics Genomics - methods Genotype Humans Identification methods Life Sciences Microprocessors Phenotype Polymorphism, Single Nucleotide Privacy Proteomics Rare diseases Software United States
ISSN:	1548-7091, 1548-7105, 1548-7105
Online Access:	Get full text
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