cano-wgMLST_BacCompare
cano-wgMLST_BacCompare performs whole-genome multilocus sequence typing (wgMLST)-based comparative analyses to assess genetic relatedness and identify discriminatory genes among bacterial strains for epidemiological and comparative genomic studies.
Key Features:
- Whole-Genome Sequence-Based Comparisons: Performs comprehensive whole-genome comparisons derived from next-generation sequencing data.
- Extended MLST Approaches: Implements extended multilocus sequence typing (MLST) approaches with emphasis on whole-genome MLST (wgMLST).
- Canonical wgMLST Tree Construction: Constructs a canonical wgMLST (cano-wgMLST) tree by integrating wgMLST-constructed tree topology with a feature selection approach to identify and visualize genes that differ at each tree split.
- Comparative Genomic Analysis: Identifies and displays gene differences between bacterial strains to highlight functions related to virulence and pathogenicity.
- Demonstrated Datasets: Has been applied to datasets of 22 Campylobacter jejuni isolates and 59 Salmonella Heidelberg isolates.
Scientific Applications:
- Epidemiological Investigations: Assess genetic relatedness among bacterial strains to support outbreak investigation and transmission inference.
- Comparative Genomic Analyses: Identify and study gene variations that may influence bacterial pathogenicity and virulence.
- Public Health Genomic Surveillance: Inform analyses of genetic factors underlying bacterial outbreaks and strain differentiation.
Methodology:
Uses whole-genome multilocus sequence typing (wgMLST) and extended MLST approaches and constructs canonical wgMLST (cano-wgMLST) trees by integrating wgMLST-constructed tree topology with a feature selection approach to identify and visualize discriminatory genes at each split.
Topics
Details
- License:
- GPL-3.0
- Added:
- 11/14/2019
- Last Updated:
- 12/10/2020
Operations
Publications
Liu Y, Lin J, Chen C. cano-wgMLST_BacCompare: A Bacterial Genome Analysis Platform for Epidemiological Investigation and Comparative Genomic Analysis. Frontiers in Microbiology. 2019;10. doi:10.3389/fmicb.2019.01687. PMID:31396192. PMCID:PMC6668299.