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A private DNA motif finding algorithm.

Abstract：

:With the increasing availability of genomic sequence data, numerous methods have been proposed for finding DNA motifs. The discovery of DNA motifs serves a critical step in many biological applications. However, the privacy implication of DNA analysis is normally neglected in the existing methods. In this work, we propose a private DNA motif finding algorithm in which a DNA owner's privacy is protected by a rigorous privacy model, known as ∊-differential privacy. It provides provable privacy guarantees that are independent of adversaries' background knowledge. Our algorithm makes use of the n-gram model and is optimized for processing large-scale DNA sequences. We evaluate the performance of our algorithm over real-life genomic data and demonstrate the promise of integrating privacy into DNA motif finding.

journal_name

J Biomed Inform

journal_title

Journal of biomedical informatics

authors

Chen R,Peng Y,Choi B,Xu J,Hu H

doi

10.1016/j.jbi.2013.12.016

subject

Has Abstract

pub_date

2014-08-01 00:00:00

pages

122-32

eissn

1532-0464

issn

1532-0480

pii

S1532-0464(13)00207-4

journal_volume

50

pub_type

杂志文章

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