Predicting antimicrobial susceptibility from the bacterial genome: A new paradigm for one health resistance monitoring-Reference-Cited by-同舟云学术

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Predicting antimicrobial susceptibility from the bacterial genome: A new paradigm for one health resistance monitoring

Published:2020-10-03 Issue:2 Volume:44 Page:223-237
ISSN:0140-7783
Container-title:Journal of Veterinary Pharmacology and Therapeutics
language:en
Short-container-title:J vet Pharmacol Therap

Author:

McDermott Patrick F.¹^ORCID,Davis James J.²³

Affiliation:

1. Office of Research Center for Veterinary Medicine U.S. Food and Drug Administration Laurel MD USA

2. Division of Data Science and Learning Argonne National Laboratory Argonne IL USA

3. University of Chicago Consortium for Advanced Science and Engineering University of Chicago Chicago IL USA

Funder

Defense Advanced Research Projects Agency

Publisher

Wiley

Subject

General Veterinary,Pharmacology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jvp.12913

Reference96 articles.

1. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update

2. Commentary: The Future of Whole-Genome Sequencing for Public Health and the Clinic

3. All for one and one for all: the true potential of whole-genome sequencing

4. Whole genome sequencing uses for foodborne contamination and compliance: Discovery of an emerging contamination event in an ice cream facility using whole genome sequencing

5. Evolution and ecology of antibiotic resistance genes

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1. A one health approach for monitoring antimicrobial resistance: developing a national freshwater pilot effort;Frontiers in Water;2024-05-17

2. Bovine colostrum and multidrug resistance: One Health Vision for human consumption;2024-04-10

3. One health initiative to mitigate the challenge of antimicrobial resistance in the perspectives of developing countries;Bulletin of the National Research Centre;2024-02-02

4. An accurate and interpretable model for antimicrobial resistance in pathogenic Escherichia coli from livestock and companion animal species;PLOS ONE;2023-08-24

5. Predicting variable gene content in Escherichia coli using conserved genes;mSystems;2023-06-14

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