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CATHAI: cluster analysis tool for healthcare-associated infections

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 deploymen...

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Detalles Bibliográficos
Autores principales: Cuddihy, Thom, Harris, Patrick N A, Permana, Budi, Beatson, Scott A, Forde, Brian M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710666/
https://www.ncbi.nlm.nih.gov/pubmed/36699387
http://dx.doi.org/10.1093/bioadv/vbac040
Descripción
Sumario: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.