The Centre for the Analysis of Genome Evolution and Function (CAGEF) is an extra-departmental unit established through the University of Toronto’s Academic Initiative Fund in 2006 and maintained via generous continuing support from the Faculty of Arts & Science. CAGEF’s mission is to promote interdisciplinary research in comparative, evolutionary, and functional analyses of genomes and proteomes, and to promote training and education in genome biology through the development and support of innovative teaching initiatives, courses, and workshops. CAGEF provides genomics, proteomics, and bioinformatic services, including next-generation-based genome, microbiome and metagenome sequencing, gene expression and transcriptome analysis, and proteome, protein modification and metabolome analysis. CAGEF has established internationally-recognized genomics expertise in the analysis of non-standard species, systems, and environments, with particular experience in microbial, plant, and environmental genomics and metagenomics.
Our facility is located in the heart of downtown Toronto, on the University of Toronto’s St. George Campus.
CAGEF is closely allied with the department of Cell and Systems Biology at the University of Toronto, and a proud supporter and sponsor of the University of Toronto Collaborative Graduate Program in Genome Biology and Bioinformatics, the Toronto Bioinformatics User Group (TorBUG), and the University of Toronto International Genetically Engineered Machines (iGEM) Team
CAGEF DEVELOPED PROTOCOLS
Next Generation Mapping
Next Generation Mapping harnesses the power of Next Generation Sequencing technology to efficiently map point mutations, identifying the causative lesion of phenotypically identifiable mutations. Austin et al., 2011
http://files/2013/04/NGM_paper.pdfMycobiome Sequence Analysis
Mycobiome sequencing and analysis enables researchers to explore the fungal component of their environmental samples by sequencing a region of the ITS1 gene. McTaggert et al., 2019
Quantitative Interactor Screen Sequencing
Quantitative Interactor Screen Sequencing applies next generation sequencing to yeast two-hybrid interaction screens to quantitatively measure enrichment of candidate interactors. Lewis et al., 2012