Paul Stothard

Professor, Faculty of Agricultural, Life and Environmental Sci - Ag, Food & Nutri Sci Dept


Professor, Faculty of Agricultural, Life and Environmental Sci - Ag, Food & Nutri Sci Dept
(780) 492-5242
231 General Services Building
9007 - 116 St NW
Edmonton AB
T6G 2H1




PhD, molecular biology and genetics, University of Alberta

Job/Research Area 

Bioinformatics, genomics, and genetics


Stothard Research Group

Google Scholar



Genetic basis of important traits in animals - we are using whole-genome sequencing and bioinformatics to understand the genetic basis of production traits and health traits in animals.

Mechanisms of pathogen resistance and resilience in livestock - we are using information in the form of genotypes, miRNA profiles, and mRNA profiles to understand what makes some individuals less susceptible to infection than others.

Genome variation and evolution - we are developing novel tools for visualizing sequence differences among individuals and species, and for predicting the impacts of small- and large-scale sequence variants. We are using these tools to perform detailed comparisons of animal genomes and to find functionally important variants.

Software tools for bacterial genome interpretation - we are creating an expert system to process, analyze, and visualize bacterial genome sequence data. This system uses high-performance computing to quickly deliver high-quality and comprehensively annotated assemblies.


Our paper on a new SNP array for bison has been published in Frontiers in Genetics and the array is available to bison producers through Neogen Canada.

Feed efficiency genetic evaluations created by our Genome Canada-funded research with the University of Guelph have been released by Lactanet Canada.

Our Proksee bacterial genome analysis server is now online.

Our Bison Integrated Genomics (BIG) Project is now underway.


AFNS 508 - Applied Bioinformatics

Introduction to databases, software tools, and analysis methods used to characterize DNA and protein sequences and to measure gene expression. Topics include information retrieval from sequence databases, protein function prediction, assessing sequence similarity, measuring gene expression, and the analysis of high-throughput sequencing data using command-line tools. Prerequisite: consent of instructor.

AN SC 384 - Principles of Animal Genetics

An introduction to the basic principles of animal genetics and their practical application in selection strategies, breeding systems, and methods of improvement for domestic animals. Prerequisites: BIOL 207 and AN SC 101 or consent of instructor.

AN SC 485 - Animal Genetics and Breeding

Application of genetic/genomic principles and methods to the improvement of livestock and poultry. Prerequisite: AN SC 384 or consent of instructor.

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