WGS to predict antibiotic MICs for Neisseria gonorrhoeae
<strong>Background:</strong> Tracking the spread of antimicrobial resistant Neisseria gonorrhoeae is a major priority for national surveillance programmes. <strong>Objectives:</strong> We investigate whether whole-genome sequencing, WGS, and simultaneous analysis of multipl...
Váldodahkkit: | , , , , , , , , , , , , |
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Materiálatiipa: | Journal article |
Almmustuhtton: |
Oxford University Press
2017
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