BacWGSTdb
BacWGSTdb performs bacterial genome sequence typing and source tracking to characterize pathogenic and multidrug-resistant bacteria from whole-genome sequence data.
Key Features:
- Core Genome MLST (cgMLST) Integration: Implements core genome multi-locus sequence typing (cgMLST) for scalable sequence typing across lineages.
- Multiple Genome Analysis Module: Supports batch processing and comparative analysis of dozens of genome sequences.
- Source Tracking Module: Compares uploaded plasmid sequences against public databases to aid identification of infection sources.
- Integrated Genome and Metadata Repository: Contains an integrated collection of bacterial genome sequencing data linked with corresponding metadata.
- Expanded Species Coverage: Includes 20 bacterial species with a focus on pathogens of medical importance.
Scientific Applications:
- Hospital-acquired infection investigation: Enables genomic classification and comparison of isolates implicated in hospital-acquired infections.
- Foodborne illness source tracing: Facilitates tracing of bacterial strains involved in foodborne illness outbreaks.
- Surveillance of pathogenic and multidrug-resistant bacteria: Supports epidemiological surveillance and characterization of pathogenic and multidrug-resistant bacteria.
Methodology:
Uses core genome multi-locus sequence typing (cgMLST), batch comparative analysis of dozens of genome sequences, plasmid-sequence comparison against public databases, and an integrated repository of bacterial genome sequences with associated metadata.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 1/29/2021
Operations
Publications
Feng Y, Zou S, Chen H, Yu Y, Ruan Z. BacWGSTdb 2.0: a one-stop repository for bacterial whole-genome sequence typing and source tracking. Nucleic Acids Research. 2020;49(D1):D644-D650. doi:10.1093/nar/gkaa821. PMID:33010178. PMCID:PMC7778894.
Ruan Z, Feng Y. BacWGSTdb, a database for genotyping and source tracking bacterial pathogens. Nucleic Acids Research. 2015;44(D1):D682-D687. doi:10.1093/nar/gkv1004. PMID:26433226. PMCID:PMC4702769.
Ruan Z, Yu Y, Feng Y. The global dissemination of bacterial infections necessitates the study of reverse genomic epidemiology. Briefings in Bioinformatics. 2019;21(2):741-750. doi:10.1093/bib/bbz010.