mSystems
(Jun 2021)
Predicting Antimicrobial Resistance Using Partial Genome Alignments
D. Aytan-Aktug,
M. Nguyen,
P. T. L. C. Clausen,
R. L. Stevens,
F. M. Aarestrup,
O. Lund,
J. J. Davis
Affiliations
D. Aytan-Aktug
ORCiD National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
M. Nguyen
Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA
P. T. L. C. Clausen
ORCiD National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
R. L. Stevens
Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA
F. M. Aarestrup
National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
O. Lund
ORCiD National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark
J. J. Davis
ORCiD Consortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, USA
DOI
https://doi.org/10.1128/mSystems.00185-21
Journal volume & issue
Vol. 6,
no. 3
Abstract
Read online
Antimicrobial resistance causes thousands of deaths annually worldwide. Understanding the regions of the genome that are involved in antimicrobial resistance is important for developing mitigation strategies and preventing transmission.
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