26th, 28th May and 5th, 6th June 2025

This course provides an introduction to R and Bioconductor, focusing on data manipulation, visualization, and analysis in life sciences. It covers fundamental R programming concepts, data processing with the tidyverse, and essential Bioconductor data structures for handling genomic data. By the end of the course, participants will gain hands-on experience in using R for biological data analysis and visualization.

This beginner-friendly course is ideal for students and researchers looking to integrate R and Bioconductor into their bioinformatics workflows.

- No prior experience with R or Bioconductor is required.
- Participants should install R and RStudio before the course.

By the end of this course, participants will be able to:

1) Navigate RStudio and manage projects for efficient data analysis.
2) Understand R data structures (vectors, data frames) and perform data subsetting.
3)  Use the tidyverse ecosystem for data importing, cleaning, and manipulation.
4)  Create publication-ready plots using ggplot2 and arrange multiple visualizations.
5) Utilize Bioconductor packages to work with genomic data structures.
6)  Analyse and manage quantitative biological data with SummarizedExperiment and other Bioconductor object classes.

Day 1: 26.05 - 9.30-12.30

 • Getting to know RStudio and data classes in R

• Project management with RStudio
• R vectors and data frames
• Subsetting data
• Using R packages


Day 2: 28.05 - 9.30-12.30

• Importing data with {readr}
• Data processing with {dplyr}, {tidyr}, and {stringr}
• Types of graphics
• Enhancing your plots for publications
• Arranging multiple plots into panels


Day 3: 5.06 - 9.30-12.30

• Using Bioconductor packages
• Working with DNA, RNA, and protein sequences
• Working with genomic intervals


Day 4: 6.06 - 9.30-12.30

• Quantitative data and SummarizedExperiment objects
• SingleCellExperiment, SpatialExperiment, and MultiAssayExperiment objects