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Bioinformatics

Project Leader(s): 

Dr. Jack A. Tuszynski , University of Alberta

Project team: 
Dr. Thoms Hillen, (University of Alberta)
Dr. Gerda de Vries, (University of Alberta)
Dr. Michael Y. Li, (University of Alberta)
Dr. D. Peter Tieleman, (University of Calgary)
Dr. Lukasz Kurgan, (University of Alberta)
Dr. Eric Cytrynbaum, (University of British Columbia)
Dr. Stephane Portet, (University of Manitoba)
Dr. Siv Sivaloganathan, (University of Waterloo)
Dr. Roderick Melnik, (Wilfrid Laurier University)
Funding period: 
July 1, 2000 - March 31, 2007
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Project Leader(s): 

Dr. Anne Condon , University of British Columbia

Project team: 
Dr. Holger H. Hoos, University of British Columbia
Dr. Ming Li, University of Waterloo
Dr. Irmtraud Meyer, University of British Columbia
Dr. S. Cenk Sahinalp, Simon Fraser University
Dr. Ladislav Stacho, Simon Fraser University
Dr. Peter J. Unrau, Simon Fraser University
Dr. Kaizhong Zhang, University of Western Ontario
Funding period: 
April 1, 2005 - March 31, 2010
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Project Leader(s): 

[url=mailto:laurent@mshri.on.ca]Dr. Laurent Briollais[/url] , University of Toronto

Project team: 
Dr. Gary Bader, University of Toronto
Dr. Adrian Dobra, University of Washington
Dr. Hélène Massam, York University
Dr. Hilmi Ozcelik, Samuel Lunenfeld Research Institute
Non-academic participants: 

[url=http://www.genizon.com/]Genizon Biosciences Inc.[/url]

[url=http://www.wolfram.com/]Wolfram Research[/url]

[url=http://www.ibm.com/ca/en/]IBM[/url]

[url=http://www.tgen.org/]Translational Genomics Research Institute[/url]

Funding period: 
1 April 2009 - 31 March 2011

Graphical models have been one of the most efficient statistical tools used in the last twenty years for the analysis of complex structured high-dimensional data. Graphical models provide a probabilistic framework for making inference and representing the knowledge that we have about these complex structured data. In biological research and more particularly in the emerging -omics disciplines such as genomics, proteomics, metabolomics, transcriptomics, data are often generated from complex high throughput experiments and from complex experimental designs.

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