Single-Cell RNAseq Bioinformatics 2024

Please note: We are currently experiencing some issues with card payments through our registration system for events. We hope to resolve this shortly. 

In the meantime, you can complete your registrations as normal if selecting invoice as the payment method. If you are unable to pay by invoice, please contact the training team (training@earlham.ac.uk) who will be happy to assist you.

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, from both short read and long read platforms.

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

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, differential expression and pseudotime analyses
• Introduction to long read sequencing with application to transcript annotation and quantification in single cell research
• Overview of spatial transcriptomics platforms and demonstration of visualiser software capabilities

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.
• Once accepted, participants should watch the following supportive course materials:
  • Introduction to data management video
  • ELIXIR Research Data Management materials (RDMbites)

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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