Precourse preparations

Required competences

Knowledge

You should meet the learning outcomes of:

• Introduction to bulk RNA-Seq: From Quality Control to Pathway Analysis
• Introduction to Sequencing Data Analysis
• First Steps with R in Life Sciences
• Single-Cell Transcriptomics with R

In summary, participants must already have a basic knowledge in: - Next Generation Sequencing (NGS) techniques - Analyzing gene expression data - Dimensionality reduction (PCA, UMAP) - Graph-based clustering - R (evaluate your R skills here) - UNIX (self-assess your skills with the e-learning course UNIX Fundamentals, and this quiz)

Technical

Attendees should have a Wi-Fi enabled computer. An online R and RStudio environment will be provided. In order to access that environment your computer needs to be able to access http websites (not https). You can check this by browsing to http://www.httpforever.com. However, in case you wish to perform the practical exercises on your own computer, please take a moment to install the following before the course:

• R version > 4.5.
• Latest RStudio version, the free version is perfectly fine.
• The R packages necessary for the course. Find the renv to install them here.