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CATHAI: cluster analysis tool for healthcare-associated infections
- Source :
- Bioinformatics Advances. 2
- Publication Year :
- 2022
- Publisher :
- Oxford University Press (OUP), 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. 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.
- Subjects :
- General Medicine
Subjects
Details
- ISSN :
- 26350041
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Bioinformatics Advances
- Accession number :
- edsair.doi...........c233dce8c612e1bbc71700f1f98f651a
- Full Text :
- https://doi.org/10.1093/bioadv/vbac040