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PathOGIST: Calibrated multi-criterion genomic analysis for public health microbiology

Status: 
Active
Competition: 
2015 Bioinformatics and Computational Biology B/CB
Sector: 
Health
Agriculture and Agri Food
Environment
Genome Centre(s):
Genome British Columbia
Project Leader(s):
Leonid Chindelevitch (Simon Fraser University), William Hsiao (University of British Columbia), Cedric Chauve (Simon Fraser University)
GE3LS: 
No
Fiscal Year Project Launched: 
2016-2017
Project Description: 

Public health agencies protect the population from infectious diseases by monitoring disease-causing agents (pathogens) and intervening in disease outbreaks. Without these concerted efforts, our population’s health would be endangered. Today, public health workers can conduct pathogen whole-genome sequencing to investigate risks and determine the source of outbreaks. But the challenge of translating that data into actionable interventions remains.

Drs. Leonid Chindelevitch, Cedric Chauve (Simon Fraser University) and William Hsiao (UBC) are developing a statistically sound and robust computational framework called PathOGIST to enable public health workers and others to quickly classify pathogens into epidemiologically related groups based on sequencing data and generate interpreted genomic reports to inform their actions. PathOGIST will revolutionize how disease outbreaks are managed, ensuring faster responses that will significantly reduce the impact of these outbreaks on both health and the economy.