Galaxy Festival and Training, Freiburg July 1-6

Training at GCC2019 Conference webpage: Training on a wide range of topics will be offered before and during the GCC2019 meeting. Training topics are determined by the community via a nomination and voting process. The voting is now open until February, 4th. You can vote for as many topics as you want, but please note that the more topics you vote for the less your vote for each one counts. What? Here's an example. If Moni votes for 4 topics then each of her votes counts for 1/4 of a point. If Dave votes for 22 topics then each of his votes counts for 1/22 of a point.

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Full list of potential Galaxy trainings here:

Please find below a list of EPIGENETIC related topics.

If you would like to contribute to the decision making VOTE till FEB4!!!!

Please take a few minutes to vote which training should be offered at GCC2019: 



EWAS data analysis for population epigenetics integrated into Galaxy

Epigenetic aberrations which involve DNA modifications give researchers an interest to identify novel non-genetic factors responsible for complex human phenotypes such as height, weight, and disease. The goal of this session is to analyse differentially methylated regions in treatment resistant melanomas using Galaxy.


DNA Methylation data analysis

  • What is methylation and why it cannot be recognised by a normal NGS procedure?
  • Can a different methylation influence the expression of a gene? How?
  • Which tools you can use to analyse methylation data?

Learning objectives

  • Learn how to analyse methylation data
  • Get a first intuition what are common pitfalls in DNA methylation


Hi-C analysis

  • Why is a Hi-C) analysis useful?
  • What is 'chromosome conformation capture'?
  • What are main steps in order to generate and plot a Hi-C contact matrix?


ChIP-seq data analysis

  • What is an histone modification?
  • How is a raw set of ChIP-seq data processed and analyzed?

Learning objectives

  • Assess the quality of a ChIP-seq experiment
  • Create coverage files
  • Call enriched regions or peaks


Balint Laszlo Balint

researcher, University of Debrecen

genomics, IVF, RNA, biomarkers, epigenetics, transcription, personalized medicine, diagnostic development, FAIR, superenhancers, data management, estrogen, nuclear receptors