Event Scientific training

Advanced Single-Cell RNAseq Data Analysis 2023

Providing a thorough overview of single-cell data analysis, this course is for researchers who are new to single-cell bioinformatics and are planning a single-cell project.

Start date: 06 November 2023
End date: 09 November 2023
Time: 09.30 - 16.30
Venue: Earlham Institute (Norwich UK)
Organiser: Emily Angiolini
Registration deadline: 30 September 2023
Cost: £250

About the event

This course provides a deep dive into single-cell genomics, for researchers who are in the early stages of 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 (Norwich, UK). This course is for researchers in the experimental planning stages of a project involving single-cell genomics. 

What will I learn?

  • Understand the different data generated in scRNAseq experiments and analyses
  • Learn how to assess data quality and optimise experimental design
  • 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


Once accepted, registrants should watch and read the following supportive course materials:


  • Other pre-requisites:
    • You should have familiarity with the command line and be familiar with actions as in the Software Carpentry lesson on The Unix Shell
    • You should also have basic experience with R, such as being able to complete activities as they appear in Software Carpentry lesson Programming with R); 
    • You should also be in the planning stage of a single-cell project.

Application process

Please complete the application form to apply for a place on the training course. We aim to respond to your application within 2 weeks, but will let you know if there is to be a delay. If successful and are offered a place for the course, you will be sent the link to complete registration, including payment options. 

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Register today.

Registration deadline: 30 September 2023

Participation: Open application with selection process