Using Whole Genome Sequencing (WGS) Data to Inform Food Safety Decisions

Prof. Fanning has been helping develop applications around genome sequencing to minimise risks in global food production and improve food safety decision-making. Two practical outcomes have emerged: prevent contamination problems in the industrial environment and track infections when outbreaks occur. The genome data helps identify pathogens in the food chain, like listeria monocytogenes. “We think we have the early stages of a model to differentiate on strains that are more likely to cause human infections versus those that are less likely, based on careful analysis of the whole genome data,” he explained.

 

Watch the full talk below:

 

You might also like

Latest NHANES data and the right tools to understand it

Properly harnessing available data requires innovative and validated solutions that circumvent hype and buzzwords and instead focus on using advanced data access, analytics and predictive modelling harmoniously. Such solutions can then be used to underpin important safety and risk assessment decisions made by the industry and governments.

Read more

Get weekly industry insights from Creme Global

Download The Overview Now

Data Sharing on Creme Global Platform

Gain critical business intelligence
from shared, anonymized data.