The aim of this workshop is to introduce best practice bioinformatics methods for processing, analyses and integration of epigenomics data. The online teaching includes lectures, programming tutorials and interactive group sessions.

Topics covered include:
- Data processing and analyses for differential DNA methylation with Illumina EPIC arrays and Bisulfite-seq
- ChIP-seq: overview of the methods, peak calling, peak independent/dependent quality metrics, joint visualization of different chromatin marks
- ATAC-seq: peak calling, peak independent/dependent quality metrics, differential accessibility analysis
- Integrative visualizations of epigenomics datasets
- Motif analyses: PWMs, motif enrichment, regression-based approaches
- Functional analyses, including finding nearest genes and custom features, GO terms and Reactome pathways enrichment
- Introduction to analysis of single cell omics such as scATAC-seq