Nijmegen, Netherlands

Integrative X-omics Analyses Empowering Personalized Healthcare

online course
when 5 July 2021 - 9 July 2021
language English
duration 1 week
credits 2 EC
fee EUR 600

Molecular indicators for health, disease and response to treatment are increasingly guiding personalized healthcare. At the same time, single biomarkers will never fully reflect the interplay between the genetic make-up and environmental exposure. This asks for a more holistic view on human health, and integrated analyses of large-scale molecular and clinical data.

This course will lay a firm basis for such an integrative approach. It provides a comprehensive overview of state-of-the-art biomarker discovery strategies using -omics analysis platforms, gives practical cues to the most fit-for-purpose experimental approaches, based on real-life examples.

The basic principles and workflows of genomics, proteomics, metabolomics and data analysis, integration and stewardship will be covered.

The course will contain demonstrations and hands-on computer practical's of commonly used open-source analysis and visualization packages. Special attention will be paid to the different analysis to integrate X-omics data from different levels, ranging from pure statistical integration approaches (including machine learning) to knowledge-based data integration.

Course leader

P.A.C. ’t Hoen, Professor of Bioinformatics
Center for Molecular and Biomolecular Informatics
Radboud University Medical Center

A.J. van Gool, Professor Personalized Healthcare
Laboratory Medicine
Radboud University Medical Center

Target group

• Master
• PhD

This course is designed for translational researchers who would like to set-up or are starting a molecular biomarker profiling study in human individuals.

Course aim

After this course you are able to:

1. Able to design an X-omics experiment and able to choose the most adequate -omics technologies.
2. Master basic analysis workflows for -omics data.
3. Understand the advantages and disadvantages of different data integration strategies.

Fee info

EUR 600: The fee includes the registration fees, course materials, access to library and IT facilities, coffee/tea, lunch, and a number of social activities.


We offer several reduced fees:
€ 540 early bird discount- deadline 1 March 2020 (10%)
€ 510 partner + RU discount (15%)
€ 450 early bird + partner + RU discount and Radboud University, and EATRIS-Plus members, BioSB members and X-omics partners.

Register for this course
on course website