Course content
Participants will become familiar with the current state of experimental design, data acquisition (LC-MS, MS imaging), processing, and modelling. In addition, they will learn about community standards and sharing in metabolomics, particularly through using the EMBL-EBI鈥檚 MetaboLights repository and Galaxy infrastructure. Participants will learn through hands-on tutorials to use tools available for data analysis and data submission. Additionally, case studies will be used to discuss and show how to employ the week鈥檚 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. Attendees will gain an understanding of a standardised workflow, from experimental design to data acquisition and analysis. 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. The course assumes little prior knowledge of using bioinformatics tools.
Learning outcomes
After the course you should be able to:
During this course you will learn about:
Participants will become familiar with the current state of experimental design, data acquisition (LC-MS, MS imaging), processing, and modelling. In addition, they will learn about community standards and sharing in metabolomics, particularly through using the EMBL-EBI鈥檚 MetaboLights repository and Galaxy infrastructure. Participants will learn through hands-on tutorials to use tools available for data analysis and data submission. Additionally, case studies will be used to discuss and show how to employ the week鈥檚 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. Attendees will gain an understanding of a standardised workflow, from experimental design to data acquisition and analysis. 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. The course assumes little prior knowledge of using bioinformatics tools.
Learning outcomes
After the course you should be able to:
- Discuss basic data acquisition, processing, and modelling in metabolomics
- Estimate what factors contribute to designing a successful metabolomics study
- Describe the issues of data standards and sharing in metabolomics
- Access and use public metabolomics resources
- Be familiar with the principles of creating a standardised workflow to perform basic metabolomics analysis
During this course you will learn about:
- Basic metabolomics experimental design, acquisition, and analysis
- Public metabolomics resources: MetaboLights, Galaxy
- Open source metabolomics tools made available through customisable workflows
- Case study based on a published/public example
