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A utility maximizing and privacy preserving approach for protecting kinship in genomic databases
Author(s) -
Gulce Kale,
Erman Ayday,
Öznur Taştan
Publication year - 2017
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btx568
Subject(s) - kinship , computer science , data sharing , identification (biology) , internet privacy , biology , medicine , sociology , botany , alternative medicine , pathology , anthropology
Rapid and low cost sequencing of genomes enabled widespread use of genomic data in research studies and personalized customer applications, where genomic data is shared in public databases. Although the identities of the participants are anonymized in these databases, sensitive information about individuals can still be inferred. One such information is kinship.

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