Metabolomics, defined as the measurement of all small molecules detected in a given biological sample, has gained a great importance within the field of clinical mass spectrometry. The metabolome is directly linked to key factors influencing health and disease, such as genetics, the environment, and the microbiome and thus offers a unique insight into metabolic mechanisms mediating health and disease. However, a key challenge remains in the high-throughput metabolite identification indispensable for biological interpretation. In recent years, an increasing number of computational metabolomics tools have started to embrace this challenge.
During this four-day summer school, students will learn how to preprocess liquid chromatography tandem-mass spectrometry (LC-MS/MS) based metabolomics data to retrieve quantitative information using MZmine. Furthermore, the students will learn how to retrieve chemical structure information using the Global Natural Products Social Molecular Networking (GNPS) platform, in silico structure annotation and unsupervised substructure discovery using MS2LDA. Finally, the network-based algorithm MetaboRank will be taught to facilitate metabolite annotation in the context of biochemical pathways.
Refund of 75% up to June 30
Refund of 50% up to July 14
Refund of 25% up to August 11