Integrating Whole-Genome Sequencing Data Into Quantitative Risk Assessment of Foodborne Antimicrobial Resistance: A Review of Opportunities and Challenges-Reference-Cited by-同舟云学术

Integrating Whole-Genome Sequencing Data Into Quantitative Risk Assessment of Foodborne Antimicrobial Resistance: A Review of Opportunities and Challenges

Published:2019-05-21 Issue: Volume:10 Page:
ISSN:1664-302X
Container-title:Frontiers in Microbiology
language:
Short-container-title:Front. Microbiol.

Author:

Collineau Lucie,Boerlin Patrick,Carson Carolee A.,Chapman Brennan,Fazil Aamir,Hetman Benjamin,McEwen Scott A.,Parmley E. Jane,Reid-Smith Richard J.,Taboada Eduardo N.,Smith Ben A.

Funder

Government of Canada

Publisher

Frontiers Media SA

Subject

Microbiology (medical),Microbiology

Reference143 articles.

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4. New training tools for new epidemiologists.;Arts;Environ. Mol. Mutagen.,2013

5. A k-mer-based method for the identification of phenotype-associated genomic biomarkers and predicting phenotypes of sequenced bacteria.;Aun;PLoS Comput. Biol.,2018

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