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Molecular typing of pathogens.

Authors: Trudy M, Wassenaar;

Molecular typing of pathogens.

Abstract

Molecular typing and fingerprinting of bacterial pathogens has become a major part of epidemiology, disease monitoring, intervention and food safety research. This treatise will briefly address the aims of molecular typing and the criteria that are important to choose the optimal method of typing. However, since the method of choice will depend on a number of factors, including available facilities and research goals, no particular methods are recommended; instead, theoretical considerations are presented as a guide line for the best decision. Since molecular typing is examining the nature of the population genetics of a particular organism, it is important to understand how the degree of clonality of that particular organism will influence outcome and interpretation of results. The mechanisms that lead to non-clonality are briefly outlined. The problems with typing of clonal, non-clonal, and weakly clonal populations are briefly treated. The merits and myths of multilocus sequence typing (MLST) are discussed.

Keywords

DNA, Bacterial, Bacteria, Genotype, Consumer Product Safety, Genes, Bacterial, Food Microbiology, Humans, Bacterial Typing Techniques

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    Average
    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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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
10
Average
Average
Top 10%
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