Construction of a Genetic Variant Store

This project proposes to explore and implement a method of storing and retrieving data relating to genetic variation across a population of individuals. Due to the large amount of genetic information each person possesses, such a database requires special attention to minimize the amount of data stored and to create efficient methods of accessing the data. This work will research and test different strategies to build a compact data store that will return results quickly. This data store will be incorporated into the PhenoTips software provided by Gene42 Inc. for use by hospitals specializing in genetic diseases.

Faculty Supervisor:

Eyal de Lara

Student:

Scott Mastromatteo

Partner:

Gene42 Inc

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program: