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Privacy-Preserving Microbiome Sequencing Analysis and Storage Systems
Justin Wagner and Hector Corrada-Bravo, University of Maryland, College Park
We examine adapting proposed privacy-preserving analysis and storage systems for human genome sequences to the realm of human microbiome sequencing. To begin, we discuss the methodology and statistics of interest in microbiome sequence-based analysis, referred to as metagenomics. Next, we investigate the capability of microbiome sequencing to uniquely identify an individual. Then, we detail the differences in metagenomic analysis and genome-wide association studies while reviewing a privacy-preserving genome-wide association study approach. We conclude with a discussion of a system for secure storage and disease risk computation using human genome sequences along with design considerations for extending the system to microbiome sequencing.
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author = {Justin Wagner and Hector Corrada-Bravo},
title = {{Privacy-Preserving} Microbiome Sequencing Analysis and Storage Systems},
year = {2014},
address = {San Diego, CA},
publisher = {USENIX Association},
month = aug
}
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