Secure large-scale genome data storage and query

Luyao Chen, Md Momin Al Aziz, Noman Mohammed, Xiaoqian Jiang

Abstract: Highlights•We propose a method utilizing graph database system to store and allow computations on real-world genome dataset in a privacy preserving manner.•A novel indexing scheme is proposed on such database to make the secure query operations more efficient.•We test the proposed approach along with the corresponding indexing scheme on a large-scale genome dataset containing 735; 317 human SNPs ( ∼ 200 GB data).•Experimental results show that it takes less than a minute for a query compared to best-known attempt where it required around 7  min.