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.

Downloads

Links