Epigenomic Data Analysis


18-20 November 2020



University of Vienna, Max Perutz Labs



This course is an introduction to the bioinformatic analysis of large epigenomic data sets obtained using Next-Generation Sequencing (NGS) technologies, with a focus on ChIP-seq, RNA-seq and chromatin accessibility (DNase-seq & ATAC-seq). After a targeted introduction to scripting in bash and R (Tidyverse & Bioconductor), the course briefly covers the theoretical foundations of the most widely adopted algorithms and analysis pipelines, followed by hands-on tutorials using publicly available NGS data sets.




The course is aimed at researchers moving the first steps in epigenomic data analysis and / or interested in learning more about this subject. The course offers a mixture of lectures and hands-on practical tutorials using widely used tools and R/BioConductor packages. Previous knowledge of genomics data formats from Illumina sequencers, exposure to bioinformatics and basic computer programming knowledge are all beneficial but not a necessary prerequisite.




Day 1 (Wed) - Introduction to R/Tidyverse/BioConductor/Bash; Introduction to the datasets used in the course


Day 2 (Thu) - ChIP-seq & chromatin accessibility, theory and practice


Day 3 (Fri) - RNA-seq, theory and practice; Introduction to integrative analyses




Dr. Federico Comoglio






Dr. Iros Barozzi

Cost overview

Package 1:

Max Perutz Labs members


          380 € (VAT incl.)



Cancellation Policy:


> 30  days before the start date = 30% cancellation fee

< 30 days before the start date= No Refund.


Physalia-courses cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.