Environmental and (eco)toxicological Omics and Epigenetics: Science, Technology and Regulatory Applications

Training workshops

Two training workshops will be organized on Thursday 15 September, 13:35-16:15.

Both workshops run in parallel, so you will need to choose one of the 2 workshops. Participation to these training sessions is included in the meeting registration fee. Tickets are available on a first comefirst served basis (!) and should be ordered when registering.


  • Analysis and Interpretation of Epigenomic Data
  • Computational Approaches for the integration of multi-level omics data for the prediction of phenotypic outcome: SOLD OUT! If you are interested in participating in this workshop, please write an e-mail to barbara.koelman@setac.org


Analysis & Interpretation of Epigenomic Data

Organizers: Dr. Jana Asselman (GhenToxLab, Belgium,www.ecotox.ugent.be) & Dr. Dieter De Coninck (NXTGNT sequencing center, Ghent University, Belgium, http://www.nxtgnt.ugent.be).
Course Content:
  1. Experimental design of epigenomic research for different epigenomic technologies
  2. Epigenomic research with non-model organisms or organisms without a reference genome
  3. Quality analysis of epigenomic data
  4. Introduction to data analysis software and tools
  5. Hands-on training on data processing of epigenomic data in R 
The course will introduce participants to different epigenomic technologies (including bisulfite sequencing and MBD sequencing) and how to apply these in their own research. It will briefly discuss experimental design considerations, particularly for participants working without reference genomes. Next, participants will be introduced in quality analysis, data analysis and commonly used software. The course will conclude with a hands-on training session in R in which partcipants will learn how to statistically analyze epigenomic data.


Computational Approaches for the integration of multi-level omics data for the prediction of phenotypic outcome SOLD OUT!
Organizer: Prof. Francesco Falciani (University of Liverpool), Dr. Philipp Antczak (University of Liverpool) & Dr. John Herbert (University of Liverpool).
Course Content:
  1. Considerations on experimental designs compatible with multi-level data integration
  2. Knowledge management systems and data integration
  3. Integrating genetics, epigenetics and functional genomics to predict multiple phenotypes
  4. Hands-on training using the statistical environment R
The proliferation of technologies that can measure the molecular state of a cell at different levels in the hierarchy of events linking genome to phenotype has created a formidable challenge. These data needs to be integrated in order to provide a comprehensive model of organism homeostasis and ultimately predict response to stress.
This course is designed to introduce participants to an integrative strategy to for multi-level omics data integration, starting from considerations on the experimental design and data generation to a comprehensive overview of computational analysis.
The participants will be introduced to the possible designs that are compatible with data integration and will be shown how to perform computational data integration and prediction of phenotypic outcomes. The course will include hands-on training sessions with real world datasets.