This training will introduce participants to advanced visualization techniques for antimicrobial resistance (AMR) and whole genome sequencing (WGS) data. The focus is on practical, hands-on applications using real-world datasets, including heatmaps and integrated analysis of phenotypic and genotypic resistance. This two-part training builds on foundational R skills from the initial R training GenEpi-BioTrain - Virtual training 14 - R data analysis and visualisation for beginners.
and 25 June 2025.
Dates: 18
Duration: Two half-days 09:30-12:00 CEST.
Location: Online - Find the link after enrolment.
Audience: Public health microbiologists, epidemiologist, or bioinformaticians working with national surveillance data or outbreak investigations looking for practical tools to explore, visualize, and share AMR insights using R.
The practical exercise in this webinar has several prerequisites and requires software installation. Please follow the 'Prerequisites' and 'Software Requirements' sections carefully.
Objectives
By the end of this virtual training, participants will be able to:
- Create advanced AMR visualizations using ggplot2 and patchwork.
- Summarise and visualise resistance data by location, organism, and time.
- Generate clustered heatmaps using phenotypic and genotypic resistance data.
- Integrate WGS-derived resistance gene data into AMR analyses.
- Visualise phylogenetic trees using ggtree() and annotate them with AMR data using gheatmap().
- Interpret and communicate trends in AMR using effective plots.
Participation: This course is open for public enrolment.