DNA-SeAl: Sensitivity Levels to Optimize the Performance of Privacy-Preserving DNA Alignment
Volume: 24, Issue: 3, Pages: 907 - 915
Published: Mar 1, 2020
Abstract
The advent of next-generation sequencing (NGS) machines made DNA sequencing cheaper, but also put pressure on the genomic life-cycle, which includes aligning millions of short DNA sequences, called reads, to a reference genome. On the performance side, efficient algorithms have been developed, and parallelized on public clouds. On the privacy side, since genomic data are utterly sensitive, several cryptographic mechanisms have been proposed to...
Paper Details
Title
DNA-SeAl: Sensitivity Levels to Optimize the Performance of Privacy-Preserving DNA Alignment
Published Date
Mar 1, 2020
Volume
24
Issue
3
Pages
907 - 915
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