Francis Ouellette

Overview

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

Affiliations

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.

Research Output

  • Brazas MD, Ouellette BFF
    Navigating the changing learning landscape: Perspective from bioinformatics.ca.
    • Brief Bioinform. 2013 Mar 20.
  • Cheung WA, Ouellette BFF, Wasserman WW.
    Inferring novel gene-disease associations using Medical Subject Heading Over-representation Profiles.
    • Genome Med. 2012 Sep 28;4(9):75.
  • Cheung WA, Ouellette BFF, Wasserman WW.
    Quantitative biomedical annotation using medical subject heading over-representation profiles (MeSHOPs).
    • BMC Bioinformatics. 2012 Sep 27;13:249.
  • Brazas MD, Yim D, Yeung W, Ouellette BF.
    A decade of Web Server updates at the Bioinformatics Links Directory: 2003-2012.
    • Nucleic Acids Res. 2012 Jul;40:W3-W12.
  • Zhang KX and Ouellette BFF
    CAERUS: predicting CAncER oUtcomeS using relationship between protein structural information, protein networks, gene expression data, and mutation data
    • PLoS Comp Bio. 2011 March
  • 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.