Improve the computation efficiency in epigenome-wide and genome-wide association studies

• Main Author: Tran, Nhat Sang
• Other Authors: Kwoh Chee Keong
• Format: Final Year Project
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
• Online Access: http://hdl.handle.net/10356/65735
• Institution: Nanyang Technological University

Background: Genome-wide association studies (GWAS) and epigenome-wide association studies (EWAS) hold the promise to explore the relationships among genetic variants, epigenetic changes and human diseases. The challenges lie in their computational burden due to the number of data returned from epige...