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Computational tools for viral pathogenesis and epidemiology using third-generation sequencing

Third-Generation Sequencing (TGS) technology offers an exciting breakthrough opportunity for virology researchers. However, TGS faces technical challenges including a relatively high base calling error rate that is hard to distinguish from the high mutation rate of viruses. This project will develop novel tools for TGS by taking advantages of existing development focusing on base calling […]

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An open platform for rapid, reproducible, phenotype-centric variant prioritization in poorly-characterized rare genetic disorders

Rare genetic diseases are individually rare but collectively quite common, affecting approximately 3 million Canadians. Unlike common diseases, genetic causes for rare diseases must often be hypothesized from plausibility criteria and identified through progressive exclusion of candidate variants in a single case or a small number of heterogeneous cases. Few integrated software systems exist to

An open platform for rapid, reproducible, phenotype-centric variant prioritization in poorly-characterized rare genetic disorders Read More »

Enabling widespread COVID-19 testing via high throughput proteomics detection

The COVID-19 pandemic has created a global medical and economic crisis. Laboratory testing capacity has played pivotal role in our national response to this emergency. The shift from targeted, clinically oriented testing to widespread high-throughput community testing may dramatically increase the need for affordable COVID19 tests. Although many new assays are coming online, most of

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COVID-19 precision health genomics for children: a multiomic study of the ABCCC (Alberta childhood COVID-19 cohort)

Working in concert with Alberta Health Services Public Health Officers, leading clinicians and Alberta Public Laboratories, the team will recruit the Alberta Childhood COVID-19 Cohort (ABCCC), consisting of all children under the age of 18 who undergo testing for the SARS-COV2 virus. Specifically, the project will: 1) assess the role of children’s immune response as

COVID-19 precision health genomics for children: a multiomic study of the ABCCC (Alberta childhood COVID-19 cohort) Read More »

Developing collaborative research to identify the impacts of Helicobacter pylori genomics research on northern Canadian Indigenous communities

Since 2007, over 1200 residents of Indigenous communities in the Northwest Territories (NWT) and Yukon (YT) have participated in research to learn more about Helicobacter pylori infection. A working group formed that included Indigenous community members, their healthcare providers, territorial health authorities, and academic researchers demonstrated that the community concerns were well founded. They estimated

Developing collaborative research to identify the impacts of Helicobacter pylori genomics research on northern Canadian Indigenous communities Read More »

Comparative genomics of Campylobacter strains prevalent in Canadian poultry production associated with human disease: Identification of biomarkers relevant to the development of targeted mitigation strategies

Campylobacteriosis, an acute intestinal illness and most commonly reported bacterial foodborne infection in Alberta, is caused by Campylobacter jejuni (Cj) through the consumption of contaminated chicken. Decades of research suggest that human infections are a result of a small proportion of high-risk Cj strains in the Canadian chicken supply chain and that these pathogenic strains

Comparative genomics of Campylobacter strains prevalent in Canadian poultry production associated with human disease: Identification of biomarkers relevant to the development of targeted mitigation strategies Read More »

Using machine learning to identify pigs with superior disease resilience to improve animal health and the sustainability of pork production

Animal resilience directly affects the profitability of livestock production. The goal of this project was to develop tools and methods for selection of pigs that are resilient in the face of multiple natural infections. Analysis of detailed physiology, genomics, and health data of pigs will be analyzed using machine learning technologies. This will allow the

Using machine learning to identify pigs with superior disease resilience to improve animal health and the sustainability of pork production Read More »

Is Porcine reproductive and respiratory syndrome virus (PRRSV)-induced fetal death associated with thyroid disruption predicted by DRGA0008048 on SSC7?

A previous study identified an association between DRGA, a single nucleotide polymorphism (SNP) on chromosome 7, and a substantial improvement in fetal viability following PRRSV infection of pregnant dams. This region includes a gene associated with metabolism of a hormone-linked to growth and other processes. Levels of this hormone decrease in fetal and maternal serum

Is Porcine reproductive and respiratory syndrome virus (PRRSV)-induced fetal death associated with thyroid disruption predicted by DRGA0008048 on SSC7? Read More »

Investigating infectiousness of pigs selected for multi-factorial resilience or increased resistance to Porcine Reproductive and Respiratory Syndrome (PRRS)

Disease is a major problem in animal production, resulting in reduced performance and animal welfare with rising treatment costs. Genetic selection of pigs that are more resistant and resilient to infection by pathogens is recognized as a promising tool to reduce the impact of disease. The goal of this project is to develop an experimental

Investigating infectiousness of pigs selected for multi-factorial resilience or increased resistance to Porcine Reproductive and Respiratory Syndrome (PRRS) Read More »

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