Analysis and interpretation of single cell RNAseq (scRNAseq) data requires dedicated workflows. In this hands-on workshop we will show you how to perform single cell RNAseq analysis using Seurat, Harmony and Single R - R packages for QC, analysis, and exploration of single-cell RNAseq data.
We will discuss the ‘why’ behind each step and cover reading in the count data, quality control, filtering, normalisation, clustering, UMAP layout and identification of cluster markers. We will also explore various ways of visualising single cell expression data.
Participants trained: 29
Citation
Williams S, Jaya F, Barugahare A, Harrison P (2026). WORKSHOP: Single cell RNAseq analysis in R. Zenodo. https://doi.org/10.5281/zenodo.21784360