regentrans
regentrans analyzes whole-genome sequencing data to investigate regional transmission dynamics of multidrug-resistant organisms (MDROs) across and within healthcare facilities.
Key Features:
- Whole-Genome Sequencing Integration: Uses whole-genome sequencing data to resolve transmission links between isolates.
- Genomic Analysis: Applies bioinformatics techniques to identify genetic similarities and differences among isolates indicative of transmission.
- Temporal and Spatial Analysis: Enables examination of transmission dynamics over time and across healthcare facilities to distinguish inter-facility and intra-facility spread.
- Transmission Dynamics Modeling: Employs statistical models to map pathways of pathogen spread within and between healthcare settings.
- Comprehensive Dataset Support: Capable of analyzing large-scale datasets such as over 400 carbapenem-resistant Klebsiella pneumoniae isolates collected from multiple long-term acute care hospitals.
Scientific Applications:
- Genomic epidemiology: Investigates regional spread and transmission networks of MDROs using genomic data.
- Transmission network identification: Identifies inter-facility and intra-facility transmission events and potential drivers of regional prevalence.
- Informing interventions: Provides genomic evidence to inform coordinated interventions in healthcare settings.
Methodology:
Data collection of whole-genome sequencing data from pathogens across facilities; genomic analysis using bioinformatics techniques to identify genetic similarities and differences among isolates; and transmission dynamics modeling using statistical models to map pathways of spread.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 11/21/2021
- Last Updated:
- 11/21/2021
Operations
Publications
Hoffman S, Lapp Z, Wang J, Snitkin ES. regentrans: a framework and R package for using genomics to study regional pathogen transmission. Unknown Journal. 2021. doi:10.1101/2021.07.25.21261097.