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Nucleic Acids Research
Article . 2005 . Peer-reviewed
Data sources: Crossref
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Nucleic Acids Research
Article
License: CC BY NC
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PubMed Central
Other literature type . 2005
Data sources: PubMed Central
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DBLP
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The multilocus sequence typing network: mlst.net

Authors: Aanensen, DM; Spratt, BG;

The multilocus sequence typing network: mlst.net

Abstract

The unambiguous characterization of strains of a pathogen is crucial for addressing questions relating to its epidemiology, population and evolutionary biology. Multilocus sequence typing (MLST), which defines strains from the sequences at seven house-keeping loci, has become the method of choice for molecular typing of many bacterial and fungal pathogens (and non-pathogens), and MLST schemes and strain databases are available for a growing number of prokaryotic and eukaryotic organisms. Sequence data are ideal for strain characterization as they are unambiguous, meaning strains can readily be compared between laboratories via the Internet. Laboratories undertaking MLST can quickly progress from sequencing the seven gene fragments to characterizing their strains and relating them to those submitted by others and to the population as a whole. We provide the gateway to a number of MLST schemes, each of which contain a set of tools for the initial characterization of strains, and methods for relating query strains to other strains of the species, including clustering based on differences in allelic profiles, phylogenetic trees based on concatenated sequences, and a recently developed method (eBURST) for identifying clonal complexes within a species and displaying the overall structure of the population. This network of MLST websites is available at http://www.mlst.net.

Country
United Kingdom
Keywords

Biochemistry & Molecular Biology, 08 Information And Computing Sciences, Internet, Science & Technology, Nucleic Acid, 05 Environmental Sciences, DNA, Sequence Analysis, DNA, 06 Biological Sciences, Article, Bacterial Typing Techniques, Databases, User-Computer Interface, POPULATIONS, Databases, Nucleic Acid, Mycological Typing Techniques, Sequence Analysis, Life Sciences & Biomedicine, BIOCHEMISTRY & MOLECULAR BIOLOGY, Alleles, Software, Developmental Biology

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    222
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
222
Top 1%
Top 1%
Top 10%
Green
gold