CATHAI: cluster analysis tool for healthcare-associated infections.

Authors :: Cuddihy T
Harris PNA
Permana B
Beatson SA
Forde BM
Source :: Bioinformatics advances [Bioinform Adv] 2022 May 27; Vol. 2 (1), pp. vbac040. Date of Electronic Publication: 2022 May 27 (Print Publication: 2022).
Publication Year :: 2022
Abstract: 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.<br />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.<br />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.<br /> (© The Author(s) 2022. Published by Oxford University Press.)