Computational Biology
What we do
Why we do it
How we do it
Computational Biology Summary
Computational Biology

Senior Program Manager
Dr. Michelle Brazas

Telephone: 416-673-8502
Mobile: 416-357-6687

The Computational Biology Program is the scientific engine of research and analytics at OICR. The program’s investigators lead local and international cancer genomics research studies and programs. In many cases, the program’s teams develop new algorithms, software, visualization tools and other necessary components to interrogate and interpret the large and complex datasets. Our resources and expertise are shared with the Ontario and the international cancer research community, with the goal of supporting the acceleration of cancer research.

Our mission is to advance the knowledge and treatment of cancer through computational biology.

Our research objectives are to:

  • Gain new and deeper understanding of cancer biology through the application of computational and data-intensive techniques;
  • Train the next generation of computational biologists to work on cancer-related problems;
  • Foster efficiency, communication and collaboration within and among Computational Biology and Genome Informatics, OICR and the wider community.
Opportunities to Collaborate

The Computational Biology Program is open to and encourages research collaborations. Please contact any of the Principal Investigators or review our Collaborative Research Resources Directory for more information.

Programs Expertise and Capabilities

Principal investigators and senior scientists in the Computational Biology Program have a broad set of research interests and expertise, ranging from open research and reproducibility, to algorithm development for long-read sequences, pipelines for sequencing and analysis, biomarker discovery, viral detection, and population-based genomics approaches to cancer, as well as pathway and network analysis. While our research activities and expertise focus on cancer, they also have broader application in genomic research.


The Computational Biology Program is involved in a wide variety of research projects. We play both leadership, and collaborative, scientific roles in many cancer research projects, with a strong mandate to output to the scientific community open-source, open-access data, tools and resources.

Projects under the Computational Biology Program include:

Canadian Prostate Cancer Genome Network

(CPC-GENE), a project aimed at understanding the prostate cancer genome to better predict treatment failure for intermediate risk prostate cancers.


A pan-Canada research project to rapidly develop novel diagnostic markers for early prostate cancer.

Data, Software & Tools
In the News
Unravelling the secrets of the non-coding cancer genome
Unravelling the secrets of the non-coding cancer genome
Jun 11, 2021
Ontario experts chart vision to advance machine learning for cancer care
Ontario experts chart vision to advance machine learning for cancer care
May 20, 2021