Bioinformatics and Computational Biology Funding Competition (B/CB)

Bioinformatics and Computational Biology Competition

Ontario Genomics is pleased to announce an upcoming Genome Canada funding opportunity for Bioinformatics and Computational Biology to be launched in December 2017. This funding opportunity is aimed at supporting research projects that address any aspect of bioinformatics and computational biology (B/CB) as it relates to genomics across all of Genome Canada’s sectors, i.e., human health, agriculture, aquaculture/fisheries, forestry, energy, mining and environment.

For examples of previously funded projects, see Funded B/CB Projects

Competition Objectives:

  1. To support the development of next generation B/CB tools and methodologies needed to manage, analyze and integrate complex data sets produced by modern genomics technologies to better understand the associated biology; and,
  2. To provide broad and timely access of these B/CB tools to the research community.

Key Program Highlights:

  • Total Funding Available: $12M
  • Project Size: $500k-$1M per project (total)
  • Co-funding: 50% from Genome Canada + 50% from other eligible sources (1:1)
  • Award Duration: Up to 3 years
  • Proposal Focus Areas:
    • Stream 1: proposals mainly impacting the human health sector
    • Stream 2: proposals mainly impacting one or more of the other sectors, i.e., agriculture, aquaculture/fisheries, forestry, energy, mining and/or environment

Two-Step Application Process:

  • Final Registration – due to Ontario Genomics on January 31, 2018*
  • Full application – due date TBD

* Dates are subject to change

For more information please contact  Kelly Hunter, Manager, Research & Business Development at

Key Definitions:
*Bioinformatics: The term bioinformatics is defined here as the development and application of computational tools and approaches for maximizing the use of genomics data.
*Computational Biology: The term computational biology is defined here as the development and application of theoretical data-analytical methods, mathematical modeling and computational simulation techniques in the context of the study of biological systems.
*Genomics: The term genomics is defined here as the comprehensive study, using high throughput technologies, of the genetic information of a cell or organism and its functions. The definition also includes related disciplines such as bioinformatics, epigenomics, metabolomics, metagenomics, nutrigenomics, pharmacogenomics, proteomics and transcriptomics.