Introduction to Metabolomics Data Analysis
Date: 23 - 25 March 2026
Language of instruction: English
Application Deadline: 16 February 2026 @ 23:55
National course open for PhD students, postdocs, researchers and other employees in all Swedish universities, in need of metabolomics data analysis skills. We also welcome applications from outside of Sweden and from the non-academic sector, for more info contact us!
We will go through study design, familiarize ourselves with principles of LCMS, GCMS and NMR experiments, pre-process the raw data acquired from analytical instruments and perform downstream data analysis and interpretation using multivariate methods such as PCA, (O)PLS and (O)PLS-DA. The course will include lectures and hands-on exercises.
Important dates and information
Application opens: 2025-09-19
Application closes: 2026-02-16
Confirmation to accepted students: 2026-02-20
Course Leader and teachers: Elena Dracheva, Katie Bennett, Carl Brunius, Hans Stenlund, Stefano Papazian, Ilona Dudka.
In case you miss information on any of the above dates, please contact: Elena Dracheva
Email: edu.metabolomics@nbis.se
Course fee
A course fee of 2000 SEK for academic participants and 9500 SEK for non-academic participants will be invoiced to accepted participants.
The fee includes lunches and coffee.
Please note that NBIS cannot invoice individuals
Topics covered will include:
- Designing a metabolomics experiment
- Principles of LCMS, GCMS and NMR techniques
- Pre-processing (peak picking, alignment, annotation) of raw metabolomics and exposomics data with MS-Dial
- Quality controls of raw data
- Analysis of metabolomics and exposomics data using PCA, (O)PLS and (O)PLS-DA in R and SIMCA software
- Assessment of model performance and selection of differential metabolites
Due to limited space the course can accommodate a maximum of 20 participants. If we receive more applications, participants will be selected based on selection criteria, including (but not limited to) correct entry requirements, motivation to attend the course, as well as gender and geographical balance.
Contact: elena.dracheva@scilifelab.se
Keywords: metabolomics, data analysis, multivariate
Venue: Umeå University, KBC-huset, room KBC-Glasburen
City: Umeå
Country: Sweden
Prerequisites:
- Ability to bring your own laptop with R and SIMCA installed for practical exercises;
- Programming experience in R is desirable
Learning outcomes:
Upon completion of this course, you will be able to:
- Describe the key steps and components of a typical metabolomics workflow.
- Explain the fundamental principles and differences between LC-MS, GC-MS, and NMR techniques in metabolomics.
- Pre-process raw metabolomics data using MS-DIAL, including peak picking, alignment, and annotation.
- Apply multivariate (e.g., PCA, PLS, PLS-DA) methods to metabolomics and exposomics datasets using R and SIMCA software
- Evaluate the assumptions, strengths, and limitations of multivariate methods used in metabolomics.
- Interpret the biological significance of results from multivariate methods.
- Select appropriate data processing and statistical approaches based on study design and research objectives.
Target audience: PhD students, postdocs, researchers, industry professionals
Cost basis: Cost incurred by all
Activity log
