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Cancer Genetics and Computational Biology


Cancer Genetics and Computational Biology Program
Program Leader: Siegfried Janz, MD, DSc, Professor, Pathology
Program Co-Leader: Thomas L. Casavant, PhD, Professor, Center for Bioinformatics and Computational Biology

Understanding the genetic basis of normal and abnormal cellular processes is central to our ability to prevent and treat cancer. Investigators in the Cancer Genetics and Computational Biology Program are working to uncover genetic events involved in normal and malignant cell growth, differentiation and death, and to investigate how such events impact on cell behavior, with the ultimate goal of developing novel strategies for cancer prevention and therapy based on this information. There are five major overlapping themes within the umbrella of this new Program's research.

Theme 1 - Cancer genes and signaling pathways
Theme 2 - Genomic organization and gene expression in cancer
Theme 3 - Papillomavirus carcinogenesis
Theme 4 - Novel strategies for cancer therapy
Theme 5 - Novel tools in computational biology for cancer genetics

Members of the Cancer Genetics and Computational Biology Program

Research Program Membership Guidelines


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Last modification date: Tue Sep 25 11:40:03 2007
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