Parallel and private generalized suffix tree construction and query on genomic data

ABSTRACT:

Background

Several technological advancements and digitization of healthcare data have provided the scientific community with a large quantity of genomic data. Such datasets facilitated a deeper understanding of several diseases and our health in general. Strikingly, these genome datasets require a large storage volume and present technical challenges in retrieving meaningful information. Furthermore, the privacy aspects of genomic data limit access and often hinder timely scientific discovery.

Methods

In this paper, we utilize the Generalized Suffix Tree (GST); their construction and applications have been fairly studied in related areas. The main contribution of this article is the proposal of a privacy-preserving string query execution framework using GSTs and an addit

SUBMITTER: Al Aziz M 

PROVIDER: S-EPMC9206251 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature