Following the recent announcement that GraphPad Prism will now require individual group subscriptions, the HAB will be offering a new series of hands-on workshops for non-coders.  

These workshops are designed to help researchers at all career levels (PIs included!) to carry out the analyses they would usually perform in GraphPad Prism, this time in R, a powerful open-source alternative.  

We will begin with an introductory module on R basics, followed by a series of topic-focused sessions, helping you to convert your existing Prism-based analyses into the R language. The programme will conclude with a “Bring Your Own Data” workshop, where participants can apply their newly acquired skills to their own datasets with support from our team.   

Each workshop runs for 3 hours (10:00-13:00) and are scheduled from February through June. Participants can choose to attend the full series (at a discount!) or select individual modules according to their needs. However, the Basic R module is a prerequisite unless you are already confident with the fundamentals, as we will not re-cover them in later sessions.

Please click on the "More Info" tab for further information about the course and sessions that are available.

Individual Sessions are £50 (KCL) / £100 (external). Save by buying a bundle of all sessions for £200/£400!

Registration for each session will close four days in advance. Bundles will be available until before Session 2.

Please select the attendee category below that is applicable to you. You will then need to select which session/s you wish to attend on the next page. 

Any bookings where payment hasn't been taken will be cancelled.

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. 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. 

We are looking forward to seeing you there!