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Genometyping High Impact Factor Journals | Open Access Journals
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Journal of Clinical & Medical Genomics

ISSN: 2472-128X

Open Access

Genometyping High Impact Factor Journals

In many public health laboratories, genomic data resulting from the implementation of whole genome sequencing can potentially give highly sensitive and accurate descriptions of strain relatedness. Multilocus sequence typing has been widely used to classify broad regional and temporal scales of bacterial populations. This approach includes testing for variability seven fragments of the housekeeping genes. To describe a sequence type (ST) is used the unique combination of all the fragments allelele numbers, the alllic profile. An ST is a reliable and consistent identification of a group of similar strains, and numerous studies have used STs to identify clones within a common community that share important characteristics. Whole genome sequencing (WGS) implementation has the ability to create a coherent method for both long-term and short-term epidemiology. This has significantly enhanced the ability to precisely and rapidly classify clusters of closely related isolates for bacterial outbreak detection.

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