Quantitative Microbial Risk Assessment Based on Whole Genome Sequencing Data: Case of <i>Listeria monocytogenes</i>

Quantitative Microbial Risk Assessment Based on Whole Genome Sequencing Data: Case of <i>Listeria monocytogenes</i>

The application of high-throughput DNA sequencing technologies (WGS) data remain an increasingly discussed but vastly unexplored resource in the public health domain of quantitative microbial risk assessment (QMRA). This is due to challenges including high dimensionality of WGS data and heterogeneit...

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Bibliographic Details
Main Authors: Patrick Murigu Kamau Njage, Pimlapas Leekitcharoenphon, Lisbeth Truelstrup Hansen, Rene S. Hendriksen, Christel Faes, Marc Aerts, Tine Hald
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Microorganisms
Subjects:
quantitative microbial risk assessment
whole genome sequencing
exposure assessment
predictive modeling
machine learning
finite mixture models
Online Access:https://www.mdpi.com/2076-2607/8/11/1772

Internet

https://www.mdpi.com/2076-2607/8/11/1772

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