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.
- George-Alexandru Adam has been awarded the CIHR Canada Graduate Scholarship Master's award (http://www.nserc-crsng.gc.ca/Students-Etudiants/CGSAllocations-QuotasBESC_eng.asp)
- Venkata Manem is invited to the CMM Fields Inria Workshop on Mathematics for Medicine and gives a talk titled Modelling of radiation therapeutic effects on cancer cell lines. See http://www.fields.utoronto.ca/talks/Modelling-radiation-therapeutic-effects-cancer-cell-lines for more details.
- Dr. Laleh Ghoraie, Petr Smirnov and Ian Smith are now officially members of the Vector Institute Postgraduate Affiliate Program. Established this year, the program will foster collaboration and contributions among students and researchers with expertise in deep learning as well as machine learning and artificial intelligence more broadly. See https://t.co/GB724MbprT for more details.
- Arvind Mer, Vandana Sandhu and Venkata Manem give poster presentations at the Accelerating Precision Medicine Conference 2018. Talks Pre-Clinical Assessment of Radiation Response using in-vitro data (Dr. Venkata Manem) Posters Pre-Clinical Assessment of Radiation Response using in-vitro data (Dr. Venkata Manem) Meta-analysis of transcriptomic profiles identifies prognostic model for pancreatic ductal adenocarcinoma patients (Dr. Vandana Sandhu) Comprehensive Assessment of Large Scale Patient Derived Xenografts Data (Dr. Arvind Mer) Awards Dr. Vandana Sandhu wins Best Poster award in Accelerating Precision Medicine Conference 2018
More stories can be read on the News page.
There are currently positions available in the lab for Software Developers, Postdoctoral Fellows, Graduate and Undergraduate Students 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.