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 Platform, 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 platform 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

More Contact Information

Affiliations

Research Output

  • 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
  • Brazas MD, Yamada JT and Ouellette BF
    Providing web servers and training in Bioinformatics: 2010 update on the Bioinformatics Links Directory
    • Nucleic Acids Res. 2010 Jul;38(Web Server issue):W3-6. Epub 2010 Jun 11
  • Zhang KX and Ouellette BFF
    Pandora, a PAthway and Network DiscOveRy Approach based on common biological evidence
    • Bioinformatics. 2010 Feb 15;26(4):529-35
  • Zhang KX and Ouellette BFF
    GAIA: a gram-based interaction analysis tool--an approach for identifying interacting domains in yeast
    • BMC Bioinformatics. 2009 Jan 30;10 Suppl 1:S60
  • Gaudet et al
    Towards BioDBcore: a community-defined information specification for biological databases
    • Database (Oxford). 2011 Jan 4;11:baq027

  • CAERUS

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

  • GAIA

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

  • genomePad

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

  • PANDORA

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