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.
Case Report: Journal of Clinical & Medical Genomics
Case Report: Journal of Clinical & Medical Genomics
Commentary: Journal of Clinical & Medical Genomics
Commentary: Journal of Clinical & Medical Genomics
Review Article: Journal of Clinical & Medical Genomics
Review Article: Journal of Clinical & Medical Genomics
Review Article: Journal of Clinical & Medical Genomics
Review Article: Journal of Clinical & Medical Genomics
Case Report: Journal of Clinical & Medical Genomics
Case Report: Journal of Clinical & Medical Genomics
Scientific Tracks Abstracts: Molecular and Genetic Medicine
Scientific Tracks Abstracts: Molecular and Genetic Medicine
Posters & Accepted Abstracts: Molecular Biomarkers & Diagnosis
Posters & Accepted Abstracts: Journal of Molecular Biomarkers & Diagnosis
Posters & Accepted Abstracts: Journal of Tissue Science and Engineering
Posters & Accepted Abstracts: Journal of Tissue Science and Engineering
Posters-Accepted Abstracts: Journal of Cytology & Histology
Posters-Accepted Abstracts: Journal of Cytology & Histology
Posters: Metabolomics:Open Access
Posters: Metabolomics:Open Access
Journal of Clinical & Medical Genomics received 391 citations as per Google Scholar report