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Integrative X-omics Analyses Empowering Personalised Healthcare

Radboud Summer School 2020;
The four-days course offers scientists from partner universities a reduced fee. Danish Radboud Summer School partners are Copenhagen Business School, the University of Southern Denmark, the University of Aalborg and the University of Aarhus.




Radboud University
Houtlaan 4
6525 - XZ Nijmegen
The Netherlands


Radboud Summer School


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.

Learning Outcomes

  1. 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

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

Level of participant

Admission Requirements
Understanding of biomolecular processes and pathways. Understanding of the basics of biostatistics Linux/unix and R experience are preferred.

Admission Documents
Motivation letter

Course Leaders
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

    Admission fee € 600, including:

    • course materials
    • lunch
    • coffee/tea
    • a number of social activities
    • access to library and IT facilities

    Early bird deadline 1 May 2020

    Reduced Fee:
    € 540 early bird discount
    € 510 for students and PhDs from partner universities and Radboud University
    € 450 early bird + students and PhDs from partner universities and Radboud University, and EATRIS-Plus members, BioSB members and X-omics partners.

    ECTS credits: 2

    Study Load - total 56 hrs.

    • Pre-course assignments/reading 10 hours
    • Class attendance 16 hours
    • Self-study 16 hours
    • Assignment(s) 6 hours
    • Presentation(s) 2 hours

    The student will not receive a grade, but the course is assessed on a pass/fail basis, based on active participation in discussions, assignments and the presentation.

    Read more and sign up

    The Netherlands X-Omics Initiative
    The Netherlands X-omics Initiative is a National Roadmap Large Scale Reaearch Infrastructure that aims to establish an X-Omics infrastructure across them Netherlands by combining technologies in the field of genomics, proteomics, metabolomics and data analysis, integration and stewardship.

    Read more

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