Epigenomic Data Analysis


18-20 November 2020



Due to the COVID-19 outbreak, this course will be held online

In collaboration with the Max Perutz labs in Vienna (Austria)



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



Package 1:

external members


          380 € (VAT incl.)


  480 € (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.