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

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

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...

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Bibliographic Details
Main Author: Tran, Nhat Sang
Other Authors: Kwoh Chee Keong
Format: Final Year Project (FYP)
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

Internet

http://hdl.handle.net/10356/65735

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