Two training workshops will be organized on Thursday 15 September, 13:35-16:15.
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
come, first served basis (!) and should be ordered
- 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 firstname.lastname@example.org
Analysis & Interpretation of Epigenomic Data
- Experimental design of epigenomic research for different epigenomic technologies
- Epigenomic research with non-model organisms or organisms without a reference genome
- Quality analysis of epigenomic data
- Introduction to data analysis software and tools
- Hands-on training on data processing of epigenomic data in R
Organizer: Prof. Francesco Falciani (University of Liverpool), Dr. Philipp Antczak (University of Liverpool) & Dr. John Herbert (University of Liverpool).
- Considerations on experimental designs compatible with multi-level data integration
- Knowledge management systems and data integration
- Integrating genetics, epigenetics and functional genomics to predict multiple phenotypes
- Hands-on training using the statistical environment R
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.