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Cited by 466

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Next-generation sequencing technologies and their application to the study and control of bacterial infections

Open access
Besser, J., Carleton, H.A., Gerner-Smidt, P., Lindsey, R.L., Trees, E.·2018·Clinical Microbiology and Infection

Abstract

BACKGROUND: With the efficiency and the decreasing cost of next-generation sequencing, the technology is being rapidly introduced into clinical and public health laboratory practice. AIMS: The historical background and principles of first-, second- and third-generation sequencing are described, as are the characteristics of the most commonly used sequencing instruments. SOURCES: Peer-reviewed literature, white papers and meeting reports. CONTENT AND IMPLICATIONS: Next-generation sequencing is a technology that could potentially replace many traditional microbiological workflows, providing clinicians and public health specialists with more actionable information than hitherto achievable. Examples of the clinical and public health uses of the technology are provided. The challenge of comparability of different sequencing platforms is discussed. Finally, the future directions of the technology integrating it with laboratory management and public health surveillance systems, and moving it towards performing sequencing directly from the clinical specimen (metagenomics), could lead to yet another fundamental transformation of clinical diagnostics and public health surveillance.

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Metadata

Authors
Besser, J., Carleton, H. A., Gerner-Smidt, P., Lindsey, R. L., & Trees, E.
Venue
Clinical Microbiology and Infection
Publisher
Elsevier BV
Published
2018-04
Volume
24
Issue
4
Pages
335-341
ISSN
1198-743X (ISSN-L)
OpenAlex
W2766648070
Cited by
466
References
48
FWCI
32.14
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Next-generation sequencing technologies and their application to the study and control of bacterial infections. https://app.cochat.ai/papers/10.1016/j.cmi.2017.10.013
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Besser, J., Carleton, H. A., Gerner-Smidt, P., Lindsey, R. L., & Trees, E. (2018). Next-generation sequencing technologies and their application to the study and control of bacterial infections. Clinical Microbiology and Infection. https://doi.org/10.1016/j.cmi.2017.10.013

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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.