Genome Canada’s Bioinformatics and Computational Biology (B/CB) Competition supports research projects that address current challenges in bioinformatics and computational biology. Launched in 2012, in partnership with the Canadian Institutes of Health Research (CIHR), this open competition was designed to create an environment that supports the creation and evolution of new tools and methodologies required by the research community to analyze and integrate the influx of large amounts of complex data produced by modern genomics technologies for application across industries.
Funded Ontario B/CB Projects
On February 4, 2019, The Honourable Kirsty Duncan, Minister of Science and Sport, announced the funding recipients from Genome Canada’s 2017 Bioinformatics and Computational Biology Competition (B/CB). Eight (8) of these projects are based in Ontario – driving $3.6 million of federal funding into the province and an additional $3.7 million in investments by industry, the Ontario government and other funding partners, for a total of $7.3 million. This investment will support the development of next generation tools and methodologies to deal with the influx of large amounts of data produced by modern genomics technologies and will provide broad access to these tools to the research community.
- BridGE-SGA: A novel computational platform to discover genetic interactions underlying human disease
- Computational tools for Data-Independent Acquisition (DIA) for quantitative proteomics and metabolomics
- SYNERGx: a computational framework for drug combination synergy prediction
- Software for Peptide Identification and Quantification from Large Mass Spectrometry Data using Data Independent Acquisition
- CReSCENT: CanceR Single Cell ExpressioN Toolkit
- Dockstore 2.0: Enhancing a community platform for sharing cloud-agnostic research tools
- From ePlants to eEcosystems: New Frameworks and Tools for Sharing, Accessing, Exploring and Integrating ‘Omic Data from Plants
- Extracting Signal from Noise: Big Biodiversity Analysis from High-Throughput Sequence Data
On September 13, 2016, Parliamentary Secretary for International Development, Karina Gould, on behalf of the Honourable Kirsty Duncan, Minister of Science, announced the funding recipients from Genome Canada’s 2015 Bioinformatics and Computational Biology competition. Eight (8) projects received funding through Ontario Genomics– with two projects co-led with British Columbia and Atlantic – representing a combined total investment of $1.96 million:
- Enhanced and automated visualization of complex data
- Consolidated epigenetic landscape for congenital, developmental and childhood disorders
- Dockstore: A platform for sharing cloud-agnostic tools with the research community
- Kamphir: A versatile framework to fit models to phylogenetic tree shapes
- ePlants pipeline and navigator for accessing and integrating multi-level ‘omics data for 15 agronomically important species for hypothesis generation
- Rapid, accessible genome assembly using long read sequencing
- Rapid prediction of antimicrobial resistance from metagenomic samples: Data, models, and methods
- Genomic Epidemiology Application Ontology (GenEpiO)
On April 25, 2013, Genome Canada announced the results of the 2012 Bioinformatics and Computational Biology competition. Seven (7) projects received funding through Ontario Genomics, with a combined total investment of $4.7 million ($2.1 million from Genome Canada):
- MedSavant: An integrative framework for clinical and research analysis of human genomes
- ProHits Next Generation: A flexible system for tracking, analyzing and reporting functional proteomics data
- Development of a unified Canadian clinical genomic database as a community resource for standardizing and sharing genetic interpretations
- Large data sets and novel tools for plant biology for use in international consolidation-tier data repositories and portals
- Applying genomic signal processing methods to accelerate crop breeding
- Leveraging meta-transcriptomics for functional interrogation of microbiomes
- Pathway and network visualization for personal genomes