Single-Cell RNAseq Training Course 2020

What is the course about?

The course will provide an introduction to single-cell genomics for researchers who are new to bioinformatics. The course will cover: assessing the quality of sequence data, data visualisation, differential expression analyses and identifying Copy Number Variations at the single-cell level.

The course will consist of a mixture of conceptual and methodological lectures and hands-on sessions, including best practices and tips as learned first-hand by Earlham Institute’s faculty. There will be group discussions with other participants and the course trainers. Participants will gain first-hand experience by learning how to assess data quality with the assistance of the faculty, and in small groups troubleshooting small problems, and reviewing the results.

This course will be delivered virtually, via Zoom.

What will I learn?

• Understand the different data generated in scRNA-seq experiments and analyses
• Learn how to assess data quality and troubleshoot problematic samples
• Introduction and hands-on experience in available tools and resources for analysing single-cell data and identifying cell types
• Understanding and experience in generating differential expression analyses using Galaxy
• Familiarity with Cell Ranger and Seurat for 10x Genomics data analysis
• Introduction to long read sequencing for identification of splice variants

Target Audience & prerequisites

This course is for researchers in the experimental planning stages of a project involving single-cell genomics. No prior experience of bioinformatics is expected and the approaches taught will involve the web-based, user friendly interface, Galaxy. You will not be using the command line during the course. This course would be ideal for bench-based researchers who would like to make the first steps into bioinformatics.