e-learning
Multi-sample batch correction with Harmony and SnapATAC2
Abstract
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- Why is batch correction important during the analysis of data from multiple samples?
- How is batch correction performed on single cell ATAC-seq data?
Learning Objectives
- Perform batch correction on a dataset collection of multiple single cell ATAC-seq samples.
- Learn how Harmony and other batch correction algorithms remove batch effects.
Licence: Creative Commons Attribution 4.0 International
Keywords: 10x, Single Cell, epigenetics
Target audience: Students
Resource type: e-learning
Version: 1
Status: Active
Prerequisites:
- Introduction to Galaxy Analyses
- Pre-processing of 10X Single-Cell ATAC-seq Datasets
- Single-cell ATAC-seq standard processing with SnapATAC2
Learning objectives:
- Perform batch correction on a dataset collection of multiple single cell ATAC-seq samples.
- Learn how Harmony and other batch correction algorithms remove batch effects.
Date modified: 2025-02-28
Date published: 2025-02-28
Contributors: Diana Chiang Jurado, Saskia Hiltemann, Timon Schlegel
External resources:
Activity log
