Radboud Summer School in July 2020: Integrative X-omics Analyses Empowering Personalised Healthcare
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.