Inferring Gene Regulatory Networks

Lay Summary 

A major challenge in current post-genome molecular biology and bioinformatics research is to fully understand gene regulation: how and when each and every gene is switched on and off. Gene regulation is essential to organism survival, and deciphering how genes are regulated is critical for understanding genetic misregulation, a major cause of disease and developmental malformations. The aim of our project is to develop a novel machine learning system that combines diverse recently-generated biological evidence to infer transcriptional networks.

Expected outcomes associated with this research program are: to improve our understanding of how cells control gene expression, which plays a key role in human disease; to uncover previously unknown regulatory interactions; to develop an enabling technology for biologists to further analyze their own data; and to develop novel computer programs to model gene regulation.

Departments 
Computer Science
Biology
Funding 
NSERC
Communities 
St. John's
Locations 
Newfoundland and Labrador
Canada
Themes 
Bioinformatics
Molecular Biology
Industry Sectors 
Scientific Research and Development Services
Start date 
1 Jan 2011
End date 
31 Dec 2016