Single Cell Data Analysis
This workshop is a follow-up session from the online Innovations Scholar Workshop. The online workshop *must* be completed before coming to this in-person workshop.
Single-cell transcriptomics is a powerful tool to study the heterogeneity of the cellular transcriptome at single-cell levels. This course aims to equip participants with essential skills to process RNA-sequencing reads from single-cell transcriptomics experiment and to perform downstream analyses of the single-cell gene expression data. This course is designed for participants with some experience in R programming and running command-line programs. We will be using published single-cell RNA-sequencing datasets to perform quality control, data normalisation, cell clustering, differential expression and trajectory analyses.
We will use the objects produced from the online workshop and other single-cell datasets to expand on the important aspects of single-cell analysis, discuss decision-making steps along the analysis pipeline, visualise the data differently, and perform additional analysis. Due to time constraints, we are limited to tools that are implemented in R and that run reasonably fast. But where relevant, case studies could be shown and discussed. By the end of the workshop, delegates will be able to independently conduct and critically analyse data from scRNA-seq experiments
Please complete the following requirements before attending the in-person follow-up:
- A certificate from the online workshop
- RStudio and the installation of all the libraries used in the online workshop
- The RDS obtained from the online workshop
If you are having any issues, please contact Michelle Simon (michelle.1.simon@kcl.ac.uk) directly. If the event is full or closed for registration, and you would like to register last-minute or be added to a waitlist, please e-mail hab@kcl.ac.uk
We are looking forward to seeing you there!
Price: £50
To register please click here: Single Cell Data Analysis 2027 | King’s College London eStore