[4 half days] - [starts on 03-10-2023 at 09:00] - [English] - [Woluwé Saint-Lambert]
Do you want to get started with RNAseq data processing and learn how to analyse this type of data?
RNA sequencing is a powerful technology that is now commonly used to measure gene expression. A differential expression analysis is a statistical analysis that aims to identify quantitative changes in gene expression levels between different experimental groups.
Training aims
The goal of this training is to give an overview of the RNAseq technology and to learn how to analyse and interpret the data using dedicated R Bioconductor packages. It's aimed at biologists who want to learn how to do a differential expression analysis on their RNaseq data.
Content
Requirements
Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have installed R (https://cloud.r-project.org/) and Rstudio (https://rstudio.com/products/rstudio/download/#download).
Location
Woluwé Saint-Lambert : FARM 1 - Find the location on Google Maps
Salle FARM1 - Bâtiment ICP - 74 Avenue Hippocrate - 1200 Woluwé Saint-Lambert
Attendance
The training is open to all but requires prior registration.
Time slots for training
03-10-2023 from 09:00 to 17:00
05-10-2023 from 09:00 to 17:00
Rate
UCLouvain member (with an internal account), Invoice paid by university, UCLouvain clinic member, UCLouvain student : 150 euros per day for a total of 300 euros
Company, Researcher, Non-UCLouvain member : 250 euros per day for a total of 500 euros
For more information (open)
Tools used during training
R
Methods and method families discussed
Differential expression analysis
Regression model
Multiple linear regression
Multivariate exploratory analyses
PCA - Principal component analysis