Multi-Omics and Data Sciences in Complex Diseases

Many diseases are complex, their polygenic nature combined with gene-environment interactions leads to a situation where single omics are insufficient to both understand the biology and to make reliable diagnostic or prognostic predictions. This course will cover advanced multi-omics screening…

Computational Metagenomics (Advanced)

This course teaches state of the art computational methods for the analysis of metagenomic data. First, the fundamentals are discussed, then the topics are explored in depth with lectures by experts and practical exercises with real data. Course coordinator(s) Marnix…

Single-Cell Analysis – 2024

This 4-day course will cover the practicalities of single-cell sample prep and analysis with a particular focus on single-cell RNA-seq libraries.  Course coordinator(s) Dr. Susan Kloet (LUMC) Dr. Miao-Ping Chien (Erasmus MC) Dr. Ahmed Mahfouz (LUMC) Course credits The study…

Integrated Modeling and Optimization (2024) – Fundamental course

In validating models one always meet with the need to fit models to data. So, the parameters that are present in any realistic model have to be chosen based on comparison of model predictions with data. In this matching process optimization…

Constraint-based modeling: Introduction and Advanced topics

This course will introduce computational modeling of large (genome-scale) metabolic reaction networks through a scalable framework known as constraint-based modeling. Emphasis will be on the usage in both biotechnology and systems biomedicine. Main topics will be fundamental constraint-based modeling methods,…