Journal article
Discordant bioinformatic predictions of antimicrobial resistance from whole-genome sequencing data of bacterial isolates: an inter-laboratory study
- Abstract:
-
Antimicrobial resistance (AMR) poses a threat to public health. Clinical microbiology laboratories typically rely on culturing bacteria for antimicrobial-susceptibility testing (AST). As the implementation costs and technical barriers fall, whole-genome sequencing (WGS) has emerged as a ‘one-stop’ test for epidemiological and predictive AST results. Few published comparisons exist for the myriad analytical pipelines used for predicting AMR. To address this, we performed an inter-laboratory st...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Authors
Funding
Wellcome Trust
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Bibliographic Details
- Publisher:
- Microbiology Society Publisher's website
- Journal:
- Microbial Genomics Journal website
- Volume:
- 6
- Issue:
- 2
- Article number:
- 335
- Publication date:
- 2020-02-12
- Acceptance date:
- 2020-01-17
- DOI:
- EISSN:
-
2057-5858
- Pmid:
-
32048983
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1088009
- Local pid:
- pubs:1088009
- Deposit date:
- 2020-05-08
Terms of use
- Copyright holder:
- Doyle et al.
- Copyright date:
- 2020
- Rights statement:
- © 2020 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License
- Licence:
- CC Attribution (CC BY)
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