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
Who is this event for?
This course is for researchers in the experimental planning stages of a project involving single-cell genomics.
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.
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.
