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CATHAI: cluster analysis tool for healthcare-associated infections
Thom Cuddihy1, Patrick N A Harris1,2,3, Budi Permana4
1University of Queensland, UQ Centre for Clinical Research, Brisbane, QLD 4029, Australia.
Motivation:
Whole genome sequencing (WGS) is revolutionizing disease surveillance where it facilitates high-resolution clustering of related organism and outbreak detection. However, visualizing and efficiently communicating genomic data back to clinical staff is crucial for the successful deployment of a targeted infection control response.
Results:
CATHAI (cluster analysis tool for healthcare-associated infections) is an interactive web-based visualization platform that couples WGS informed clustering with associated metadata, thereby converting sequencing data into informative and accessible clinical information for the management of healthcare-associated infections (HAI) and nosocomial outbreaks.
Availability And Implementation:
All code associated with this application are free available from https://github.com/FordeGenomics/cathai. A demonstration version of CATHAI is available online at https://cathai.fordelab.com.
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