This competition is closed. All submitted proposals will be assessed according to the process outlined in the competition timeline, and results will be announced as indicated.
Genome Canada has announced a Request for Applications (RFA) for the 2017 Bioinformatics and Computational Biology Competition.
This funding opportunity will support projects that build the tools and methodologies needed to analyze and integrate the vast amounts of data being gathered in the ‘omics research community. Of particular interest will be proposals that address challenges associated with data handling and analysis associated with new technologies.
For examples of previously funded projects, see Funded B/CB Projects
- 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,
- To provide broad and timely access of these B/CB tools to the research community.
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
To be eligible, proposals must:
- respond to the objectives of the competition,
- be applicable to at least one of the two streams described above; and
- ensure that the essential components and deliverables of the project will be realized by the end of the project and will apply directly to the genomics research community.
- Total Funding Available: $12M (approximately $6M per stream)
- 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
The term bioinformatics is defined here as the development and application of computational tools and approaches for maximizing the use of genomics data.
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.
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.