Analysis of single cell RNASeq data
Date: 13 - 16 May 2025
Language of instruction: English
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, and 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methods are required and some of the underlying assumptions for the methods developed for bulk RNASeq experiments are no longer valid.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: Ghent - VIB/UGent FSVM II, Technologiepark 75
City: Zwijnaarde
Country: Belgium
Postcode: 9052
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, Thomas Eekhout
Activity log
