Single Cell RNA-Seq Analysis (SCRN01)

https://prstats.org/course/single-cell-rna-seq-analysis-scrn01/

Delivered by experienced bioinformaticians and computational biologists specialising in transcriptomics and sequencing data analysis.

Learn how to analyse single-cell RNA sequencing (scRNA-seq) data using modern workflows in R with Seurat, 10x Genomics, and advanced quality control methods.

Single-cell RNA sequencing has transformed biological research by allowing gene expression to be studied at the resolution of individual cells. This hands-on course provides a practical introduction to scRNA-seq analysis, covering experimental design, data processing, quality control, clustering, cell type identification, and differential expression analysis using real-world datasets.

What you’ll gain A strong understanding of single-cell RNA-seq technologies and workflows Practical experience processing and analysing scRNA-seq data in R Skills in quality control, filtering, normalisation, and clustering Ability to identify cell types and explore cellular heterogeneity Confidence in performing differential expression and downstream analyses

Course format Live, instructor-led online training Hands-on coding with real-world single-cell datasets Interactive practical exercises and discussion sessions Strong focus on applied, research-ready workflows

Who is this course for? Bioinformaticians and computational biologists Molecular biologists and genomic researchers Researchers working with transcriptomics or sequencing data PhD students and life scientists interested in single-cell analysis

Why take this course? Single-cell RNA-seq provides unprecedented insight into cellular diversity, developmental processes, disease mechanisms, and tissue organisation. However, analysing scRNA-seq data introduces unique computational and statistical challenges, including quality control, dimensionality reduction, clustering, and interpretation of heterogeneous cell populations.

This course equips you with the practical skills needed to analyse single-cell datasets confidently, helping you move from raw sequencing outputs to biologically meaningful insights using modern bioinformatics workflows.

Learn more & enrol

PR Stats course page for Single Cell RNA-Seq Analysis (SCRN01)

Questions? Email: oliver@prstats.org