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Contemporary immunology research requires the ability to handle a wide range of data types—from imaging and cytometry to patient clinical records and multi-omics. Designed for immunologists with basic R experience, this course focuses on mastering the advanced features of ggplot2 to create beautiful, professional plots.
Through a hands-on R Markdown walk-through, you will learn best practices to visualise imaging, cytometry, and omics datasets and make the most of your research findings. This course provides the practical skills needed to move beyond standard charts and produce clear, high-quality visualizations that are both reproducible and publication-ready.
Learning outcomes: ggplot2 | gganimate | data visualisation of RNAseq, scRNAseq, imaging and cytometry datasets
Prerequisites: Basic knowledge of R programming.
Contemporary immunology research requires the ability to handle a wide range of data types—from imaging and cytometry to patient clinical records and multi-omics. Designed for immunologists with basic R experience, this course focuses on mastering the advanced features of ggplot2 to create beautiful, professional plots.
Through a hands-on R Markdown walk-through, you will learn best practices to visualise imaging, cytometry, and omics datasets and make the most of your research findings. This course provides the practical skills needed to move beyond standard charts and produce clear, high-quality visualizations that are both reproducible and publication-ready.
Learning outcomes: ggplot2 | gganimate | data visualisation of RNAseq, scRNAseq, imaging and cytometry datasets
Prerequisites: Basic knowledge of R programming.