Event Scientific training

Single-Cell RNAseq Training Course 2021

Providing an introduction to single-cell genomics, this course is for researchers who are new to bioinformatics and are planning a single-cell project.

Start date: 01 November 2021
End date: 04 November 2021
Time: 10h00 - 15h00
Venue: Online (via Zoom)
Organiser: Emily Angiolini
Enquiries:

training@earlham.ac.uk

Registration deadline: 11 September 2021
Cost: £250

About the event

Please note registration for this course has now closed as the course has reached capacity. Please email training@earlham.ac.uk to register interest for future workshops or if places become available. 

What is the course about?

This course provides an introduction to single-cell genomics for researchers who are new to bioinformatics. 

The course will consist of a mixture of conceptual and methodological lectures and hands-on sessions (delivered via Galaxy), 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. 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 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 and visualising single-cell data 
  • Understanding and experience in generating differential expression analyses and identifying Copy Number Variations
  • Introduction to long read sequencing for identification of splice variants

Who is this training for?

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 use 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. 

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 registration form, including payment options. 

Register today.

Registration deadline: 11 September 2021

Participation: Open application with selection process