Introduction to metabolomics analysis
Date: 24 - 27 May 2022
This course will provide an introduction to metabolomics using publicly available data, software and tools. Participants will become familiar with the current state of experimental design, data acquisition (LC-MS, GC-MS, MS imaging), processing and modelling as well as community standards and sharing in metabolomics, particularly through using the EMBL-EBI’s MetaboLights repository and Galaxy infrastructure. There will be a practical component, where participants will learn through hands-on tutorials to use tools available for data analysis and data submission. The course will be completed with an interactive session which will build on the week’s learning to discuss how to employ a metabolomics workflow with a case study.
In-person course
We plan to deliver this course in an in-person manner onsite at our training suite at EMBL-EBI, Hinxton. Please be aware that we are continually evaluating the ongoing pandemic situation and, as such, may need to change the format of courses at short notice. Your safety is paramount to us; you can read our COVID guidance policy for more information. All information is correct at time of publishing.
Contact: Meredith Willmott - [email protected]
Keywords: Galaxy for metabolomics, MS Imaging, Metabolite identification, Metabolights
Venue: European Bioinformatics Institute, Hinxton
Region: Cambridge
Country: United Kingdom
Postcode: CB10 1SD
Organizer: European Bioinformatics Institute (EBI)
Host institutions: European Bioinformatics Institute
Target audience: 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, and 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.
Capacity: 30
Event types:
- Workshops and courses
Scientific topics: Metabolomics, Mass spectrometry data, Metabolic network modelling
Activity log