• Singapore

Educators:

  • Nils Hoffmann (CAU, Forschungszentrum Jülich GmbH, University of Vienna, Austria) (CAU & BioInfra.Prot)
  • Dominik Kopczynski (Skyline & LipidCreator Tutorial Material, University of Vienna, Austria) (Associated member)
  • Lisa Hahnefeld (Pre-Analytics and study design, Goethe-Universität Frankfurt und Fraunhofer ITMP, Germany)

Date:
Monday, February 23rd, 2026

Location:
Centre for Life Sciences, Level 1 auditorium, 28 Medical Drive, 117456, Singapore

Contents:
The SysMeC Workshop on Lipidomics Data Analysis is part of the SysMeC Workshop on Lipidomics Data Analysis and Lipidomics Symposium until February 25th, 2026, with two additional days of tutorials and presentations on Lipidomics Bioinformatics. 

This workshop on February 23rd will provide an introduction to the field of mass spectrometry-based lipidomics, pre-analytical and study design challenges, hands-on with LipidCreator and Skyline for targeted lipidomics and quantification, as well   

Throughout the training, attendees will explore state-of-the-art bioinformatics tools essential for Lipidomics research. They will be introduced to comprehensive lipidomics workflows, offering a clear understanding of the capabilities, challenges and limitations inherent in Lipidomics from multiple perspectives. This knowledge is crucial for effectively analyzing lipid data and integrating it with other biological data types.

The workshop will feature a mix of engaging lectures and interactive hands-on sessions. The program is designed for PhD students, postdoctoral fellows, and other scientists who have a foundation in bioinformatics, molecular biology, analytical chemistry or medicine and who are eager to expand their expertise in Lipidomics bioinformatics. 

Participants will be equipped with the skills and insights necessary to advance their research and contribute to the growing field of Lipidomics, helping to unlock biological insights that can drive innovative solutions in health and disease management and other application areas.

Learning goals:
Participants will be instructed in (pre-)analytical challenges of Lipidomics. workflows and gain understanding about the possibilities, challenges and limitations of Lipidomics. They will gain hands-on experience in developing and analysing targeted lipidomics data and will learn which resources and tools to use for lipid data analysis and comparison. 

Prerequisites:
The workshop is targeted towards early career scientists like PhD students and Postdocs, but also experienced scientists, who want to learn more about Lipidomics and Lipidomics Data Analysis.

Keywords:
Lipidomics, Pre-Analytics and study design, Mass Spectrometry, Data Processing and Analysis, Visualization

Tools:
LipidCreator & Skyline, Lipidomics Checklist, Goslin, LipidCompass

Contact:
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Application:
https://uvents.nus.edu.sg/event/lsildaw 

Deadline: Mid of February 2026