Course Data analysis for Metabolomics
Metabolomics experiments based on mass spectrometry (MS) or nuclear magnetic resonance (NMR) produce large and complex data sets. This course will introduce approaches to process and analyse data and design high-quality experiments. Through hands-on workshops and lectures highlighting the different concepts you will get a thorough basis for tackling the challenges in metabolomics data analysis.
X-omics workshop: Pitch your own multi-omics project
The data pillar of X-omics will organize a first series of online workshops in June 2020. In the final workshop, we invite you to pitch your own multi-omics project and discuss it with other researchers and experts from the field.
X-omics workshop: Showcases of multi-omics data integration
The data pillar of X-omics will organize a first series of online workshops in June 2020. The third workshop will highlight showcases of multi-omics data integration. You will learn first-hand what challenges other researchers experienced and how they approached them.
X-omics workshop: Linked data in practice: An RDF-based approach with SPARQLing-genomics
The data pillar of X-omics will organize a first series of online workshops in June 2020. In the second workshop we look at an example of how to create and query linked data.
X-omics workshop: Data standards and multi-omics data integration
The data pillar of X-omics will organize a first series of online workshops in June 2020. In the first workshop, you will learn about common standards for different types of omics data, public databases, and FAIR omics data. We invited experts that will explain how to lay the foundations for successful multi-omics data integration.
Data visualization aims at providing people insight into large amounts of data using interactive computer graphics by exploiting the unique capabilities of the human visual system to perceive patterns, trends, and outliers. The course aims to provide a broad overview of data visualization and to engage students via hands-on exercises.