Centre for Research Informatics Training
Single-cell RNA-seq analysis
Event details
Sessions
- 9 October 2026 — 09:30 to 17:30 — Zoom
- 12 October 2026 — 09:30 to 17:30 — Zoom
- 16 October 2026 — 09:30 to 17:30 — Zoom
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About the course
Recent technological advances have made it possible to obtain genome-wide transcriptome data from individual cells using high-throughput sequencing. This course provides a practical introduction to single-cell RNA sequencing (scRNA-seq) analysis.
Participants will gain hands-on experience with widely used software packages and methodologies for processing, analysing, and interpreting scRNA-seq data. Topics include data preprocessing, quality control, normalisation, dimensionality reduction, batch correction and data integration, cell clustering, and differential expression and abundance analysis.
By the end of the course, participants should be able to independently conduct and critically evaluate analyses of scRNA-seq experiments.
Teaching is primarily hands-on, with short presentations and demonstrations introducing the concepts and methods needed to analyse single-cell transcriptomic data.
Intended audience
This course is suitable for:
- researchers and students interested in analysing single-cell transcriptomic data
- participants who want practical experience with scRNA-seq analysis workflows
- researchers with experience of high-throughput sequencing who wish to extend their skills to single-cell data analysis
- participants with a working knowledge of UNIX and R
Prerequisites
Participants should have:
- a basic understanding of high-throughput sequencing technologies
- a working knowledge of the UNIX command line (e.g. Introduction to the Unix Command Line)
- a working knowledge of R (e.g. Data analysis in R)
The following experience is strongly recommended:
- analysis of bulk RNA-seq data (e.g. Bulk RNA-seq Analysis)
- running analyses on High Performance Computing (HPC) clusters (e.g. Working on HPC Clusters)
Course fees
All fees are per full training day.
| Category | Fee |
|---|---|
| Industry full charge | £130.00 |
| Academic / Government / charity concessionary | £65.00 |
| Cambridge University staff members / postdocs / visitors | £65.00 |
| Cambridge University registered students | Free |
| Cambridge University registered students non-attendance | £22.00 |
| Special events | Per event |
Payment options will be provided in booking confirmation emails sent after registration.
General information
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