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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2021 . Peer-reviewed
License: Springer TDM
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Epidemiological Typing Using WGS

Authors: Alphen, Lieke B.; Wintersdorff, Christian J.H.; Savelkoul, Paul H.M.;

Epidemiological Typing Using WGS

Abstract

Typing methods are continuously developing and improving. The methods aim to discriminate different strains beyond the species identification level. The first methods used to detect strain-specific differences were based on phenotypic characteristics within specific species. In the molecular era this changed towards genotypic fragment-based techniques which were quite laborious or sequence-based but having limited resolution. Nevertheless, these methods provided a new way of identifying specific strains and investigating outbreaks. The introduction of whole-genome sequencing (WGS) to the field of bacterial typing and outbreak investigation has set a new standard for discrimination and accuracy as it encompasses a comprehensive view of the bacterial core and accessory genome. In this chapter, we will review the general concepts of typing, as well as the various available typing techniques, and discuss both the advantages and the challenges of using WGS for typing purposes.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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