Bacterial identification and typing analysis genomic database and identification and typing analysis methods

Abstract

The invention discloses a bacterial identification and typing analysis genome database and an identification and typing analysis method. Create a high-quality genomic database for bacterial identification and phenotyping by removing erroneous labels and low-quality genome assemblies. Relying on this database, it provides bacterial identification and typing analysis methods based on genomic information, and develops a rapid bacterial genome identification and identification platform (FIDBac). The accuracy rate of FIDBac identification is more than 97%, which is significantly higher than other similar identification systems or software. This single, coherent, and automated workflow for bacterial genome identification is of great importance in the food industry, pharmaceutical industry, clinical diagnostics, and microbial resource development.

Description

technical field

[0001] The invention relates to the field of bacterial genome identification and typing, in particular to a bacterial identification and typing analysis genome database and an identification and typing analysis method. Background technique

[0002] Accurate bacterial species identification is the key to successful bacterial classification, pathogen detection and source tracing, and is of great significance in the fields of food industry, pharmaceutical industry, clinical diagnosis, and microbial resource development. Traditionally, bacterial identification has relied on phenotype identification, but phenotype identification has disadvantages such as limited reproductive capacity, labor-intensive experiments, and time-consuming, and molecular biology methods are expected to overcome these disadvantages. The 16S rRNA gene has become a popular molecular biology method in prokaryotic taxonomy because of its ubiquitous distribution in bacterial and archaeal genome...

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