Course at EMBL-EBI
Introduction to metabolomics analysis
2026
This course will provide an introduction to metabolomics through lectures and hands-on sessions, using publicly available data, software, and tools. Participants will become familiar with standardised workflows as well as with the current state of experimental design, data acquisition (LC-MS, MS imaging), data processing and compound annotation, and modelling. In addition, they will learn about community standards and open data practices in metabolomics, particularly through the use of EMBL-EBI’s MetaboLights repository and Galaxy infrastructure. Participants will learn through hands-on tutorials how to use the tools available for data analysis and data submission. Additionally, case studies will be discussed to show how to employ the week’s learning.
Who is this course for?
This course is aimed at researchers who are new to the field of metabolomics and wish to learn about the process of conducting a metabolomics study. The course will benefit those who are planning to integrate metabolomics into their work, either moving into the field or as an investigator from other -omics. We will primarily focus on a basic introduction to metabolomics with worked examples using a predesigned LC-MS analysis workflow. Basic knowledge of programming languages can be an advantage (e.g. you understand the basic command line functioning, you can navigate Galaxy tutorials).
We recommend these free resources or other similar ones:
- The Unix Shell: https://swcarpentry.github.io/shell-novice/
- A Short Introduction to Galaxy: https://www.youtube.com/watch?v=IRdlOcVgjRY
What will I learn?
Learning outcomes
After the course, you should be able to:
- Perform basic data processing, compound annotation, and modelling in metabolomics
- Estimate what factors contribute to designing a successful metabolomics study
- Describe the state-of-the-art in open science practices in metabolomics
- Access and use public metabolomics resources
- Cite the principles of creating a standardised workflow to perform metabolomics analysis
Course content
During this course, you will learn about:
- Basic metabolomics experimental design, acquisition, and analysis
- Public metabolomics resources: Galaxy and MetaboLights
- Open source metabolomics tools made available through customisable workflows
- Case study based on a published/public example
Trainers
Ozgur Yurekten
EMBL-EBI Juan Antonio Vizcaino
EMBL-EBI
Programme
Please note that the program is subject to minor changes. Trainers or sessions marked as 'to be confirmed' (TBC) will be detailed shortly.
Time
Topic
Trainers
Day one – Monday 27 May 2026
10:30 – 11:00
Registration and coffee
11:00 – 11:30
Welcome and introduction to EMBL-EBI
Tugdem Muslu Ufuk, Thomas Payne, and Noemi Tejera Hernandez
11:30 – 12:30
Introduction to metabolomics
Noemi Tejera Hernandez
12:30 – 13:30
Lunch break
13:30 – 15:00
Experimental design and quality control in metabolomics: lecture and exercise
Catherine Winder
15:00 – 15:30
Sample preparation
Catherine Winder 15:30 – 16:00
Coffee break
16:00 – 17:00
LC-MS: data acquisition (MS1 and MS2): lecture
Warwick Dunn
17:30 – 17:45
LC-MS: data quality assessment (MS1 and MS2): exercise
Warwick Dunn
18:00
Dinner and posters (session one)
Day two – Tuesday 28 April 2026
08:30 – 09:00
Introduction to Galaxy
Callum Martin
09:00 – 10:00
Data pre-processing: lecture (XCMS)
Ibrahim Karaman
10:00 – 10:30
Coffee break
10:30 – 11:00
Data pre-processing: lecture (XCMS)
Ibrahim Karaman
11:00 – 12:30
Data pre-processing – practical (XCMS in Galaxy)
Ibrahim Karaman
12:30 – 13:30
Lunch break
13:30 – 14:30
Metabolite identification – lecture and practical (session 1)
Elena Chekmeneva
14:30 – 15:30
MS data processing in mzmine (session 1)
Steffen Heuckeroth 15:30 – 16:00
Coffee break
16:00 – 17:30
MS data processing in mzmine (session 2)
Steffen Heuckeroth 17:30
End of day and free time
18:30
Dinner Hinxton Hall
Day three – Wednesday 29 April 2026
08:30 – 09:30
MS data processing in mzmine (session 3)
Steffen Heuckeroth
09:30 – 10:30
MS data processing in mzmine (session 4)
Steffen Heuckeroth 10:30 – 11:00
Coffee break
11:00 – 12:30
Statistical analysis (data modelling) – lecture and practical
Gonçalo Correia
12:30 – 13:30
Lunch break
13:30 – 14:30
Statistical analysis (data modelling) – lecture and practical
Gonçalo Correia
14:30 – 16:00
Metabolite identification – lecture and practical (session 2)
Elena Chekmeneva
16:00 – 16:30
Coffee break
16:30 – 17:30
Case study presentation: MS imaging – data acquisition and data processing
Melanie Föll
17:30-19:00
Dinner and posters (session two)
Day four – Thursday 30 April 2026
08:30 – 10:30
Functional analyses for biological interpretation: lecture and practical
Christina Schmidt and Denes Turei
10:30 – 11:00
Coffee break
11:00 – 12:00
Functional analyses for biological interpretation: lecture and practical
Christina Schmidt and Denes Turei 12:00 – 13:00
Lunch break
13:00 – 14:00
Introduction to MetaboLights
Noemi Tejera Hernandez
14:00 – 15:30
MetaboLights data and workflows: practical
Thomas Payne and Ozgur Yurekten
15:30-16:00
Free time
16:00 - 21:00
Social activity and dinner
Day five – Friday 1 May 2026
09:00 – 10:00
Case study presentation: translational metabolomics – from discovery to clinical trials
Natasa Giallourou
10:00 – 10:30
Coffee break
10:30 – 12:30
MetaboLights data submission – practical
Thomas Payne and Noemi Tejera Hernandez
12:30 – 13:15
Lunch break
13:15 – 14:15
Keynote talk - Lipidomics (virtual session)
Nils Hoffmann
14:15 – 15:15
Data reuse
Juan Antonio Vizcaino
15:15 – 15:30
The importance of “good” data management
Tugdem Muslu Ufuk
15:30 – 16:00
Feedback and wrap-up session
Tugdem Muslu Ufuk
16:00
End of course
16:15 Bus to Cambridge station
Please read our support page before starting your application. In order to be considered for a place on this course, you must do the following:
- Complete the online application form.
- Ensure you add relevant information to the ‘submission details’ section where you are asked to provide information on your:
- pre-requisite skills and knowledge
- current work and course expectations
- data availability
- Upload one letter of support from your supervisor or a senior colleague detailing reasons why you should be selected for the course.
Please submit all documents during the application process by 23:59 on 11 January 2026. Items marked * in the application are mandatory. Incomplete applications will not be processed.
All applicants will be informed of the status of their application (successful, waiting list, unsuccessful) by 26 January 2026. If you have any questions regarding the application process, please contact Juanita Riveros.
Fees
The registration fee includes:
- Catering as detailed on the course programme
- Accommodation for four nights (27, 28, 29, and 30 April)
- Bespoke course handbook with links to all course materials
- Use of a computer in the EMBL-EBI training suite throughout the course
- Secure virtual machines for the practical sessions listed in the programme
- Shuttle bus on the final course day to Cambridge train station
Academia
£925.00
Industry*
£1,225.00
* If your company is an EMBL-EBI Industry Programme Member, discounts may be available. This will apply automatically on registration if applicable; alternatively, please contact your Event Organiser for more information.
Financial assistance
Financial assistance is available to a limited number of participants attending this course.
Registration fee waivers
A limited number of registration fee waivers are offered for this course.
- Application process:
- Apply for the fee waiver alongside your course application.
- Provide a brief explanation of why you require the waiver and how attending the course will benefit your career.
- Notification:
- You will be informed of your waiver status at the same time as the outcome of your course application.
- If awarded, the registration fee will be waived entirely.
Travel grants
A limited number of travel grants of up to £1,000.00 are available to support participants' travel expenses.
- Covered expenses:
- Airfare, train, bus, taxi, and visa costs.
- Application process:
- Apply for the travel grant when submitting your course application.
- You will be informed of the grant decision, including the amount awarded, along with your course application outcome.
- Reimbursement process:
- Participants must pay upfront for their travel costs.
- A reimbursement form will be provided upon course completion.
- Submit the completed form with receipts within one month of travel completion.
- Grant adjustment:
- The organisers may adjust the grant amount to accommodate more participants.
Financial assistance terms and conditions
- Selection process: Recipients of financial assistance will be selected by the scientific organisers during the course application review.
- Selection criteria:
- Selection is based on scientific merit, your current work or study location, the need for financial support, and the career impact of attending the course.
- Priority will be given to applicants from Low- and Middle-Income Countries (LMICs).
- Fair consideration: Applying for financial assistance will not impact the outcome of your course application.
Additional information
Accommodation
Hotel rooms will be provided on-site at Hinxton Hall Conference Centre. Please contact them directly if you wish to arrange to stay additional nights around the course dates.
Catering
The course includes catering as detailed on the programme tab. Successful applicants will be asked for any dietary requirements and allergies upon registration.
Course materials
The course materials from the 2025 edition of the course are now live and available for you to use. They provide a mixture of pre-recorded lectures, presentations, and practicals from the course, and will give you a snapshot of what to expect in the 2026 edition.
Posters
All participants are expected to present a poster, and successful applicants will be asked to submit their poster upon registration. We expect the posters to act as a talking point between you, other participants, and the trainers on the course. They should give the reader an idea of the work you are engaged in, what you are planning to do next, and anything of interest that might be useful for sharing with the gathered participants.
Travel information
Electronic Travel Authorisations (ETAs) are needed for visitors to the UK who do not currently need a visa for short stays, or who do not already have a UK immigration status. Full details and information on how to apply can be found at the UK Gov website.
Event terms and conditions
- Selection process: Recipients will be selected by the scientific organisers during the course application review.
- Selection criteria:
- Selection is based on scientific merit, your current work or study location, the need for financial support, and the career impact of attending the course.
- Priority will be given to applicants from Low- and Middle-Income Countries (LMICs).
- Fair consideration: Applying for financial assistance will not affect your course application outcome.
EMBL-EBI
EMBL-EBI
Programme
Please note that the program is subject to minor changes. Trainers or sessions marked as 'to be confirmed' (TBC) will be detailed shortly.
Time | Topic | Trainers |
Day one – Monday 27 May 2026 | ||
10:30 – 11:00 | Registration and coffee | |
11:00 – 11:30 | Welcome and introduction to EMBL-EBI | Tugdem Muslu Ufuk, Thomas Payne, and Noemi Tejera Hernandez |
11:30 – 12:30 | Introduction to metabolomics | Noemi Tejera Hernandez |
12:30 – 13:30 | Lunch break | |
13:30 – 15:00 | Experimental design and quality control in metabolomics: lecture and exercise | Catherine Winder |
15:00 – 15:30 | Sample preparation | Catherine Winder |
15:30 – 16:00 | Coffee break | |
16:00 – 17:00 | LC-MS: data acquisition (MS1 and MS2): lecture | Warwick Dunn |
17:30 – 17:45 | LC-MS: data quality assessment (MS1 and MS2): exercise | Warwick Dunn |
18:00 | Dinner and posters (session one) | |
Day two – Tuesday 28 April 2026 | ||
08:30 – 09:00 | Introduction to Galaxy | Callum Martin |
09:00 – 10:00 | Data pre-processing: lecture (XCMS) | Ibrahim Karaman |
10:00 – 10:30 | Coffee break |
|
10:30 – 11:00 | Data pre-processing: lecture (XCMS) | Ibrahim Karaman |
11:00 – 12:30 | Data pre-processing – practical (XCMS in Galaxy) | Ibrahim Karaman |
12:30 – 13:30 | Lunch break | |
13:30 – 14:30 | Metabolite identification – lecture and practical (session 1) | Elena Chekmeneva |
14:30 – 15:30 | MS data processing in mzmine (session 1) | Steffen Heuckeroth |
15:30 – 16:00 | Coffee break | |
16:00 – 17:30 | MS data processing in mzmine (session 2) | Steffen Heuckeroth |
17:30 | End of day and free time | |
18:30 | Dinner Hinxton Hall | |
Day three – Wednesday 29 April 2026 | ||
08:30 – 09:30 | MS data processing in mzmine (session 3) | Steffen Heuckeroth |
09:30 – 10:30 | MS data processing in mzmine (session 4) | Steffen Heuckeroth |
10:30 – 11:00 | Coffee break | |
11:00 – 12:30 | Statistical analysis (data modelling) – lecture and practical | Gonçalo Correia |
12:30 – 13:30 | Lunch break | |
13:30 – 14:30 | Statistical analysis (data modelling) – lecture and practical | Gonçalo Correia |
14:30 – 16:00 | Metabolite identification – lecture and practical (session 2) | Elena Chekmeneva |
16:00 – 16:30 | Coffee break | |
16:30 – 17:30 | Case study presentation: MS imaging – data acquisition and data processing | Melanie Föll |
17:30-19:00 | Dinner and posters (session two) | |
Day four – Thursday 30 April 2026 | ||
08:30 – 10:30 | Functional analyses for biological interpretation: lecture and practical | Christina Schmidt and Denes Turei |
10:30 – 11:00 | Coffee break | |
11:00 – 12:00 | Functional analyses for biological interpretation: lecture and practical | Christina Schmidt and Denes Turei |
12:00 – 13:00 | Lunch break | |
13:00 – 14:00 | Introduction to MetaboLights | Noemi Tejera Hernandez |
14:00 – 15:30 | MetaboLights data and workflows: practical | Thomas Payne and Ozgur Yurekten |
15:30-16:00 | Free time | |
16:00 - 21:00 | Social activity and dinner
| |
Day five – Friday 1 May 2026 | ||
09:00 – 10:00 | Case study presentation: translational metabolomics – from discovery to clinical trials | Natasa Giallourou |
10:00 – 10:30 | Coffee break | |
10:30 – 12:30 | MetaboLights data submission – practical | Thomas Payne and Noemi Tejera Hernandez |
12:30 – 13:15 | Lunch break | |
13:15 – 14:15 | Keynote talk - Lipidomics (virtual session) | Nils Hoffmann |
14:15 – 15:15 | Data reuse | Juan Antonio Vizcaino |
15:15 – 15:30 | The importance of “good” data management | Tugdem Muslu Ufuk |
15:30 – 16:00 | Feedback and wrap-up session | Tugdem Muslu Ufuk |
16:00 | End of course | |
| 16:15 | Bus to Cambridge station | |
Please read our support page before starting your application. In order to be considered for a place on this course, you must do the following:
- Complete the online application form.
- Ensure you add relevant information to the ‘submission details’ section where you are asked to provide information on your:
- pre-requisite skills and knowledge
- current work and course expectations
- data availability
- Upload one letter of support from your supervisor or a senior colleague detailing reasons why you should be selected for the course.
Please submit all documents during the application process by 23:59 on 11 January 2026. Items marked * in the application are mandatory. Incomplete applications will not be processed.
All applicants will be informed of the status of their application (successful, waiting list, unsuccessful) by 26 January 2026. If you have any questions regarding the application process, please contact Juanita Riveros.
Fees
The registration fee includes:
- Catering as detailed on the course programme
- Accommodation for four nights (27, 28, 29, and 30 April)
- Bespoke course handbook with links to all course materials
- Use of a computer in the EMBL-EBI training suite throughout the course
- Secure virtual machines for the practical sessions listed in the programme
- Shuttle bus on the final course day to Cambridge train station
Academia | £925.00 |
Industry* | £1,225.00 |
* If your company is an EMBL-EBI Industry Programme Member, discounts may be available. This will apply automatically on registration if applicable; alternatively, please contact your Event Organiser for more information.
Financial assistance
Financial assistance is available to a limited number of participants attending this course.
Registration fee waivers
A limited number of registration fee waivers are offered for this course.
- Application process:
- Apply for the fee waiver alongside your course application.
- Provide a brief explanation of why you require the waiver and how attending the course will benefit your career.
- Notification:
- You will be informed of your waiver status at the same time as the outcome of your course application.
- If awarded, the registration fee will be waived entirely.
Travel grants
A limited number of travel grants of up to £1,000.00 are available to support participants' travel expenses.
- Covered expenses:
- Airfare, train, bus, taxi, and visa costs.
- Application process:
- Apply for the travel grant when submitting your course application.
- You will be informed of the grant decision, including the amount awarded, along with your course application outcome.
- Reimbursement process:
- Participants must pay upfront for their travel costs.
- A reimbursement form will be provided upon course completion.
- Submit the completed form with receipts within one month of travel completion.
- Grant adjustment:
- The organisers may adjust the grant amount to accommodate more participants.
Financial assistance terms and conditions
- Selection process: Recipients of financial assistance will be selected by the scientific organisers during the course application review.
- Selection criteria:
- Selection is based on scientific merit, your current work or study location, the need for financial support, and the career impact of attending the course.
- Priority will be given to applicants from Low- and Middle-Income Countries (LMICs).
- Fair consideration: Applying for financial assistance will not impact the outcome of your course application.
Additional information
Accommodation
Hotel rooms will be provided on-site at Hinxton Hall Conference Centre. Please contact them directly if you wish to arrange to stay additional nights around the course dates.
Catering
The course includes catering as detailed on the programme tab. Successful applicants will be asked for any dietary requirements and allergies upon registration.
Course materials
The course materials from the 2025 edition of the course are now live and available for you to use. They provide a mixture of pre-recorded lectures, presentations, and practicals from the course, and will give you a snapshot of what to expect in the 2026 edition.
Posters
All participants are expected to present a poster, and successful applicants will be asked to submit their poster upon registration. We expect the posters to act as a talking point between you, other participants, and the trainers on the course. They should give the reader an idea of the work you are engaged in, what you are planning to do next, and anything of interest that might be useful for sharing with the gathered participants.
Travel information
Electronic Travel Authorisations (ETAs) are needed for visitors to the UK who do not currently need a visa for short stays, or who do not already have a UK immigration status. Full details and information on how to apply can be found at the UK Gov website.
Event terms and conditions
- Selection process: Recipients will be selected by the scientific organisers during the course application review.
- Selection criteria:
- Selection is based on scientific merit, your current work or study location, the need for financial support, and the career impact of attending the course.
- Priority will be given to applicants from Low- and Middle-Income Countries (LMICs).
- Fair consideration: Applying for financial assistance will not affect your course application outcome.