Epigenomic Data Analysis
Dates
18-20 November 2020
Where
Due to the COVID-19 outbreak, this course will be held online
In collaboration with the Max Perutz labs in Vienna (Austria)
Overview
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.
TARGETED AUDIENCE & ASSUMED BACKGROUND
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.
program
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
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.