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dc.contributor.author Wang, Shuang
dc.contributor.author Mohammed, Noman
dc.contributor.author Chen, Rui
dc.date.accessioned 2014-12-12T21:23:42Z
dc.date.available 2014-12-12T21:23:42Z
dc.date.issued 2014-12-08
dc.identifier.citation BMC Medical Informatics and Decision Making. 2014 Dec 08;14(Suppl 1):S2
dc.identifier.uri http://hdl.handle.net/1993/30109
dc.description.abstract Abstract Advanced sequencing techniques make large genome data available at an unprecedented speed and reduced cost. Genome data sharing has the potential to facilitate significant medical breakthroughs. However, privacy concerns have impeded efficient genome data sharing. In this paper, we present a novel approach for disseminating genomic data while satisfying differential privacy. The proposed algorithm splits raw genome sequences into blocks, subdivides the blocks in a top-down fashion, and finally adds noise to counts to preserve privacy. The experimental results suggest that the proposed algorithm can retain certain data utility in terms of a high sensitivity.
dc.title Differentially private genome data dissemination through top-down specialization
dc.type Journal Article
dc.language.rfc3066 en
dc.description.version Peer Reviewed
dc.rights.holder Shuang Wang et al.; licensee BioMed Central Ltd.
dc.date.updated 2014-12-11T20:11:58Z
dc.identifier.doi http://dx.doi.org/10.1186/1472-6947-14-S1-S2


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