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Development of an alternative therapeutic for controlling mastitis in dairy cows

Mastitis is the most frequent and costly disease for dairy producers and is the main reason for antimicrobial use in dairy herds, raising concerns regarding the emergence of antimicrobial resistant pathogens. In this project they will  use state-of-the-art genomics and metagenomics approaches to identify influential members of the mammary gland microbiota with central roles in […]

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Development of a fermentation-based opiate production platform using plant genomics

Cultivation of opiates, the primary drug used in Western medicine for pain management, occurs primarily outside of North America which can be problematic due to uncertain crop yield. This project aims to use plant-based genomics to establish an alternative bioproduction system for high-value opiates through a reliable, environmentally benign, scalable, and cost-effective yeast fermentation platform.

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Genomics-driven development of drought-tolerant wheat cultivars

In wheat, reduced seed yield and quality often occurs due to drought stress resulting in lower germination, net photosynthesis, and biomass. To survive drought stress, plants utilize various physiological responses including those governed by hormonal signaling pathways. The goal of this project is to harness genetic technologies that aim to manipulate hormonal signaling in wheat

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Multi-pathogen, multi-crop disease forecasting network for Alberta

Many economically important plant pathogens are airborne, and a growing area of research involves detecting and quantifying these pathogenic organisms in order to facilitate the study of pathogen/disease etiology and epidemiology, and to develop disease forecasting models. The goal of this project was to compare the performance of microscopy and molecular methods including Next Generation

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Device for the rapid detection of seven common bloodstream infections and assessment of antibiotic susceptibility

Currently, it takes 2-5 days to identify bloodstream infection (BSI) pathogens and perform antibiotic susceptibility testing. Patients who receive the wrong antibiotic over this time are ten times more likely to die. To address this, the project has manufactured a new microscale metabolomics device that integrates all the steps of the microbiology testing pipeline into

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Development of genomic crossbred estimate breeding values (GCEBV) to maximize profitability for Canadian pork producers

The business of Genesus Inc. (User and genetic supplier) is to improve commercial pork producer (customers) profitability through creation and transfer of genetic improvement. Thus, profitability of Genesus and its customers depends directly on its ability to create and transfer genetic improvement to those customers. The objective of this project is to develop and validate

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UCAN CURE: Precision decisions for childhood arthritis

Living with arthritis severely affects a child’s ability to enjoy regular activities with friends and family and participate in school. Recently, effective drugs called “biologics” have become available for children with arthritis. They are expensive, however, causing a burden on public and private health care systems. In this project, they will allow doctors and families

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Illuminating the dark matter of the metabolome with convolutional neural networks

The project will develop computational tools based on recent developments in advanced statistical algorithms, referred to as “deep learning,” to handle the “big data” generated by metabolomics. The first tool, DeepMet, will increase the number of molecules that can be identified in metabolomic experiments. The second, MetUnknown, will help assign chemical structures to molecules that

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A comprehensive analytical toolkit and high‐performance genome browser for rapid, reliable, and in‐depth characterization of bacterial genomes

Genomes represent the ‘recipe’ of life for all living organisms, providing instructions for how they are built, the environments in which they are designed to live, and the things that they can do in those environments. Genome sequencing instruments can now sequence an organism’s genome; however, the results do not come out in one piece,

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Spruce-Up: Advanced spruce genomics for productive and resilient forests

The Spruce-Up Project targets the affects of global warming by utilizing phenotypic traits and comparative genomics to identify and validate biomarkers for resistance to biotic and abiotic stress. The overarching goal of Spruce-Up was to produce new/enhanced genomics and socioeconomic information for development, validation, and implementation of biomarkers/Genomic Selection (GS) systems to accelerate spruce breeding

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