This course provides an introduction to single-cell genomics, for researchers who have basic experience of bioinformatics and who are planning a single-cell project.

The course will consist of a mixture of conceptual and methodological lectures and hands-on bioinformatics sessions, including best practice and tips as learned first-hand by Earlham Institute’s faculty. Participants will gain first-hand experience by learning how to assess data quality with the guidance of the faculty, troubleshoot small problems, and review the results. Hands-on sessions will be using data generated using both Smartseq2 and 10X protocols.

There will be plenty of opportunities to ask questions, and an optional group discussion with other participants and the course trainers.

This course will be delivered in-person at the Earlham Institute, with the option to join remotely via Zoom.

What will I learn?
Understand the different data generated in scRNAseq experiments and analyses
Learn how to assess data quality
Introduction and hands-on experience in available tools and resources for analysing and visualising single-cell data
Introduction to cell type identification and pseudotime analyses
Introduction to long read sequencing with application to transcript annotation and quantification in single cell research