Francis Ouellette


The technology required for cancer research has become increasingly more complex over the past several years. Accordingly, the development of innovative solutions to handle the large and complicated datasets these new technologies generate has become an essential part of the cancer research process. OICR’s Informatics and Bio-computing Program, led by Dr. Lincoln Stein, integrates and interprets this data, developing visualization tools to turn raw data into meaningful information for biologists, clinicians and trainees. Francis Ouellette will contribute to this program by integrating new data types with other publicly available molecular data. Ouellette is also the Scientific Coordinator of the Canadian Bioinformatics Workshop series.

Contact Information

Mr. Francis Ouellette

francisatoicr [dot] on [dot] ca

Telephone: 416-673-8511


2013 - Editor, PLOS Computational Biology Education.
2011 - Associate Professor, Department of Cell and Systems Biology, University of Toronto.
2008 - Associate Editor, Database: The Journal of Biological Databases and Curation.
2007 - Associate Director and Senior Scientist, Informatics and Bio-computing, Ontario Institute for Cancer Research (OICR).
1998 - Scientific Coordinator, Canadian Bioinformatics Workshops series., Canadian Bioinformatics Workshops.
2004 - 2007Associate Director, UBC/Simon Fraser University (SFU) Canadian Institutes for Health Research (CIHR) Bioinformatics Training Program for Health Research, Simon Fraser University (SFU).
2004 - 2007Director, UBC Bioinformatics Center (UBiC).
2004 - 2007Associate Professor in Medical Genetics, Faculty of Medicine, University of British Columbia.
2002 - 2007Associate Director, Genome BC Bioinformatics.
2002 - 2007Associate Professor, UBC’s Michael Smith Laboratories.
1998 - 2007Director, Bioinformatics core facility for the Centre for Molecular Medicine and Therapeutics (CMMT).
1993 - 1998GenBank coordinator, National Centre for Biotechnology Information, National Institute for Health Research.

Research Output

  • Predicting CAncER oUtcomeS using relationship between protein structural information, protein networks, gene expression data, and mutation data.

  • A gram-based interaction analysis tool – an approach for identifying interacting domains in yeast.

  • A mobile UCSC Genome Browser for the iPhone/iPod Touch.

  • A PAthway and Network DiscOveRy Approach based on common biological evidence.