Welcome to the Bioinformatics and Computational Genomics Laboratory of
The Bioinformatics and Computational Genomics Laboratory is part of the Princess Margaret Cancer Centre – University Health Network, located in the heart of the Toronto Discovery District. Our research focuses on the development of novel computational approaches to best characterize carcinogenesis and drug mechanisms of action from high-throughput genomic data. We have strong expertise in prognostic and predictive biomarkers identification and drug repurposing.
The Princess Margaret Cancer Centre is a teaching hospital within the University Health Network and affiliated with the University of Toronto. It has the largest cancer research program in Canada. This rich working environment provides ample opportunities for collaboration and scientific exchange with a large community of clinical, genomics, computational biology, and machine learning groups at the University of Toronto and associated institutions, such as The Hospital for Sick Children and the Donnelly Centre.
- Dr. Haibe-Kains talks about data and code sharing for research reproducibility at the 5th Annual Canadian Human and Statistical Genetics Meeting
- Gendoo, Safikhani, Manem, Sachem, Madani for oral and poster presentations at the Great Lakes Bioinformatics and the Canadian Computational Biology Conference 2016
- Dr. Haibe-Kains hosts Dr. Joel Dudley (Icahn School of Medicine at Mount Sinai, NYC, USA) for a TorBUG seminar.
- Zhaleh Safikhani’ abstract has been selected for oral presentation at the Applied Bioinformatics in Life Sciences, Leuven, Belgium
More stories can be read on the News page.
There are currently positions available in the lab for Postdoctoral Fellows in Cancer Computational Biology. Our research focuses on the development of novel computational approaches to best characterize carcinogenesis, drug mechanisms of action and therapeutic potential from high-throughput genomic data. Learn more on the Positions page.