Analysis of single cell RNASeq data
Date: 23 - 26 September 2025
Single-cell RNASeq provides genome-wide transcriptome data from single cells. The data can be used to unravel heterogeneous cell populations, to discover new cell types and states, and to reconstruct developmental trajectories and fate decisions, all previously masked in bulk transcriptome analyses. Novel methods are required to analyze scRNASeq data, and some of the underlying assumptions for the methods developed for bulk RNASeq experiments are no longer valid.In this course, we will go through the whole pipeline to analyze short-read scRNASeq data.
Keywords: omics
Venue: Ghent - VIB/UGent FSVM II, Technologiepark 75
City: Zwijnaarde
Country: Belgium
Postcode: 9052
Organizer: VIB
Event types:
- Workshops and courses
Activity log