Workshops and courses
Analysis of single cell RNASeq data
Date: 4 - 11 March 2025
Language of instruction: English
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Single cell RNASeq provides genome-wide transcriptome data from single cells. The data can be used to unravel heterogenous cell populations, to discover new cell types and states, reconstruct developmental trajectories and fate decisions, all previously masked in bulk transcriptome analyses. To analyze scRNASeq data, novel methods are required and some of the underlying assumptions for the methods developed for bulk RNASeq experiments are no longer valid.
Keywords: omics
Venue: Leuven - Campus Gasthuisberg, Herestraat 49
City: Leuven
Country: Belgium
Postcode: 3000
Learning objectives:
- “Cluster your cells and create UMAP plots”
- “Do proper quality control and filtering on gene level and cell level”
- “Get potential markers for these subsets of cells”
- “Identify genes that are differentially expressed genes between conditions”
- “Remove as much noise as possible”
Organizer: VIB
Event types:
- Workshops and courses
Instructors: 
Janick Mathys
Activity log
