Single cell RNAseq analysis in R
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 analysis using Seurat – an R package 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.This introductory online workshop is offered nationally free of charge by the Australian BioCommons and QCIF. As a member of the Bioinformatics Training Cooperative, Melbourne Bioinformatics is contributing expert facilitators from the University of Melbourne. Places are limited. Applications close 11:59pm AEDT, 10 August 2022.