09.10.2025 - preliminary Scientific Program
8:00 - 9:00 Arrival, Registration and Coffee
9:00 - 10:30 Session 1 - Metabolomics 1
9:00 - 9:25
9:25 - 9:45
9:45 - 10:00
10:00 - 10:15
10:15 - 10:30
10:30 - 11:00 Coffee & Snacks
11:00 - 12:30 Session 2 - Bioinformatics
11:00 - 11:45
11:45 - 12:00
12:00 - 12:15
12:15 - 12:30
12:30 - 14:30 Lunch Break and Poster Session
13:00 - 13:20 Lunch seminar Sponsor: Agilent
The Agilent Targeted Omics Method Platform for targeted Metabolomics, Lipidomics and Proteomics, including the “3 in 1” Automated Sample Preparation Extractions using the Agilent Bravo System
13:20 - 13:40 Lunch seminar Sponsor: Thermo
13:40 - 14:00 Lunch seminar Sponsor: Waters
14:00 - 14:30 Poster presentations (all presenters should be at their poster stands)
14:30 - 16:00 Session 3 - Metabolomics 2
14:30 - 14:55
14:55 - 15:15
15:15 - 15:30
15:30 - 15:45
15:45 - 16:00
16:00 - 16:30 Coffee & Snacks
16:30 - 17:50 Session 4 - Lipidomics
16:30 - 16:55
16:55 - 17:15
17:15 - 17:30
17:30 - 17:50
17:50 - 18:00 Best Poster & Best Young Scientist Talk awards
(sponsored by the Deutsche Gesellschaft für Metabolomforschung)
18:00 - 19:00 Wrap up, Drinks & Brezels
10.10.2024 - Workshop
"Ensuring Data Integrity in Metabolomics: Validation and Quality Control Approaches for Targeted and Untargeted Mass Spectrometry "
8:40 - 9:00 Introductory Talk: Preprocessing of Metabolomics Data
9:00 - 11:00 Workshop Session 1: Data analysis and evaluation in Metabolomics
Dr. Alexander Cecil – Metabolomics and Proteomics Core, Helmholtz Munich
Statistical analysis in metabolomics is a cornerstone for the identification of valid biomarkers. The correct approaches and selection of statistical tests drastically improves data and result quality. In this part of the workshop, we will cover the following topics for metabolomics data evaluation:
• Data pre-processing and batch effects - and methods on how to avoid them
• Statistics for Metabolomics: Uni-variate, Multi-variate and Linear modelling
• Metaboanalyst webserver demo and hands-on
11:00 - 11:30 Coffee & snacks
PD Dr. Michael Witting – Metabolomics and Proteomics Core, Helmholtz Munich
Metabolism forms a dense network of (bio)chemical reactions. Yet, metabolomics data analysis often focuses on isolated metabolic pathways or reactions instead of using the entire metabolic network. Usage of networks is manifold from data interpretation to metabolite identification. In this part of the workshop we will cover the following topics:
• Different types of networks (e.g. mass difference, correlation, molecular networks)
• Ways of calculating networks
• Usage of networks for metabolite identification