MERCAT
MERCAT integrates genetic markers and antibiotic susceptibility data to analyze and visualize the molecular epidemiology of bacterial pathogens such as Mycobacterium tuberculosis.
Key Features:
- Integration of multiple data sources: Combines whole genome sequencing (WGS) data, spoligotyping, multi-locus variable-number-tandem-repeats (VNTR), and antibiotic susceptibility profiles to link genotypic characteristics with resistance patterns.
- Visualization capabilities: Represents genotypes alongside drug resistance profiles across multiple drugs to facilitate interpretation of complex datasets.
- Relationship analysis: Combines information from different genetic markers to visualize relationships among isolates and to trace origins and spread of multi-drug resistant lineages.
Scientific Applications:
- Molecular epidemiology of Mycobacterium tuberculosis: Analyze transmission dynamics and antibiotic resistance mechanisms in M. tuberculosis populations.
- Evolutionary and dissemination analyses: Infer evolutionary pathways and dissemination patterns of bacterial strains to inform public health interventions.
Methodology:
Implemented in the statistical programming language R and supports incorporation of genetic markers such as single nucleotide polymorphisms (SNPs) from whole genome sequencing, spoligotyping, multi-locus VNTR, and antibiotic susceptibility data.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- R
- Added:
- 1/14/2020
- Last Updated:
- 12/23/2020
Operations
Publications
Aandahl RZ, Bhatia S, Vaudagnotto N, Street AG, Francis AR, Tanaka MM. MERCAT: Visualising molecular epidemiology data combining genetic markers and drug resistance profiles. Infection, Genetics and Evolution. 2020;77:104043. doi:10.1016/j.meegid.2019.104043. PMID:31683007.
PMID: 31683007