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Cited by 799

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Transforming clinical microbiology with bacterial genome sequencing

Open access
Didelot, Xavier, Bowden, Rory, Wilson, Daniel J., Peto, Tim E. A., Crook, Derrick W.·2012·Nature Reviews Genetics

Abstract

Whole-genome sequencing of bacteria has recently emerged as a cost-effective and convenient approach for addressing many microbiological questions. Here, we review the current status of clinical microbiology and how it has already begun to be transformed by using next-generation sequencing. We focus on three essential tasks: identifying the species of an isolate, testing its properties, such as resistance to antibiotics and virulence, and monitoring the emergence and spread of bacterial pathogens. We predict that the application of next-generation sequencing will soon be sufficiently fast, accurate and cheap to be used in routine clinical microbiology practice, where it could replace many complex current techniques with a single, more efficient workflow.

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Registry

Crossref · 10.1038/nrg3226

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Didelot, X., Bowden, R., Wilson, D. J., Peto, T. E. A., & Crook, D. W.
Venue
Nature Reviews Genetics
Published
2012-08-07
Volume
13
Issue
9
Pages
601-612
ISSN
  • 1471-0056 (ISSN-L)
  • 1471-0064
OpenAlex
W2032866129
Cited by
799
References
9
FWCI
6.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Transforming clinical microbiology with bacterial genome sequencing. https://app.cochat.ai/papers/10.1038/nrg3226
The paper
Didelot, X., Bowden, R., Wilson, D. J., Peto, T. E. A., & Crook, D. W. (2012). Transforming clinical microbiology with bacterial genome sequencing. Nature Reviews Genetics. https://doi.org/10.1038/nrg3226

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.