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The Journal of the Japanese Society for Clinical Microbiology |
Biblioraphy Information
| ArticleTitle |
Advancements in Bacterial Identification Through Genome Sequencing |
| Language |
J |
| AuthorList |
Kageto Yamada |
| Affiliation |
Department of Microbiology and Infectious Diseases, Toho University School of Medicine |
| Publication |
J.J.C.M.: 34 (4), 251-258, 2024 |
| Received |
July 10, 2024 |
| Accepted |
|
| Abstract |
Since the advent of massively parallel sequencing (next-generation sequencing) technology, more than a decade has passed. Consequently, the number of analyzed bacterial genome data has been increasing annually. However, the utilization of genome data in clinical microbiology testing remains at the research stage. While species identification using bacterial genome data is currently the most high-resolution method available, the cost and intricate nature of data management may pose challenges to its widespread adoption. This paper provides an overview of species identification methods using genome data, as well as other species identification methods. It is expected that the advancement of genome data utilization will further enhance the development of clinical microbiology. |
| Keywords |
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