Analysis of single-cell ATAC-seq data
Date: 14 - 15 October 2025
Language of instruction: English
This course introduces methods for analyzing and gaining insights from scATAC-seq (Single-cell Assay for Transposase-Accessible Chromatin with sequencing) data. Unlike bulk ATAC-seq, scATAC-seq provides cell-type-specific insights into chromatin accessibility, enabling a deeper understanding of regulatory landscapes at single-cell resolution. During the course, you will learn how the ArchR tool can be used to identify cell populations and regulatory patterns. The course will also highlight how scATAC-seq data can be integrated with single-cell RNA sequencing (scRNA-seq) to uncover gene regulatory mechanisms.
Keywords: advanced bioinformatics, Artificial Inteligence, omics
Venue: Ghent - VIB/UGent FSVM II, Technologiepark 75
City: Zwijnaarde
Country: Belgium
Postcode: 9052
Learning objectives:
- Apply ArchR to perform quality control doublet inference clustering, annotation and peak calling of scATAC-seq datasets
- Describe the principles and workflow of scATAC-seq technology and scATAC-seq analysis
- Integrate scATAC-seq data with scRNA-seq data to infer gene regulatory networks
- Interpret output files and quality reports generated by CellRanger-ATAC
- Possibility to analyse your own scATAC-seq data under the guidance of experts
- Visualize the data in a Genome Browser
Organizer: VIB
Event types:
- Workshops and courses
Instructors: 
Vanessa Vermeirssen
Activity log
