Date: Monday 24 October - Friday 28 October 2022
Venue: Wageningen University and Research - Campus
Application opens: Wednesday 01 June 2022
Application deadline: Registration has closed
Participation: Open application with selection
Registration: Registration has closed
Registration fee:
Academic EUR 450 including accommodation & food
Industry EUR 1000 including accommodation & food
Overview
This course will provide an overview of key issues that affect metabolomics studies, handling datasets and procedures for the analysis of metabolomics data using bioinformatics tools. It will be delivered using a mixture of lectures, computer-based practical sessions and interactive discussions. The course will provide a platform for discussion of the key questions and challenges in the field of metabolomics, from study design to metabolite identification.
Audience
This course is aimed at PhD students, post-docs and researchers with at least one to two years of experience in the field of metabolomics who are seeking to improve their skills in metabolomics data analysis. Participants ideally must have working experience using R (including a basic understanding of the syntax and ability to manipulate objects).
Syllabus, tools and resources
During this course you will learn about:
Metabolomics study design, workflows and sources of experimental error, the difference between targeted and untargeted approaches
Metabolomics data processing tools: hands-on open-source R based programs, XCMS, MetFrag, MetFusion
Metabolomics data analysis: Using R Bioconductor, understanding the usage of univariate and multivariate data analysis, data fusion concepts, data clustering and regression methods
Metabolomics downstream analyses: MetExplore for metabolic pathway and network analysis with visualisation of differential expression
Metabolomics standards and databases
Metabolomics Flux and Stable Isotope Resolved Metabolomics (SIRM)
Outcomes
After this course you should be able to:
Discuss major principles of metabolomics experimental design and factors that impact upon subsequent analysis
Identify strengths and weaknesses in a variety of metabolomics analytical approaches
Use a range of Bioinformatics software to pre-process, process and analyse metabolomics data
Discuss current trends and challenges in metabolomics
Additional information
We invite participants to bring along a poster to display for the duration of the course. These will serve to facilitate discussion about your research and to convey your reasons for attending the course to others.
Click here for a detailed programme.
How to apply
In order to be considered for a place in this course applicants must submit the following:
A 300 word document containing 2 sections:
1. a 200-word paragraph on your work history and biography
2. a 100-word description of your current research interests
Please attach a letter of support from your supervisor or a senior co-worker explaining why you should be selected for this course.
Fill in this application form.
Number of places
30 places
In association with
Organisers
Reza Salek - Bruker GmbH, Germany
Jos Hageman – Wageningen University and Research
Ron Wehrens – Wageningen University and Research
Trainers
Oscar Yanes - University Rovira i Virgili (Spain)
Maria Vinaixa- University Rovira i Virgil
Reza Salek- Bruker GmbH. Germany
Pietro Franceschi - Fondazione Edmund Mach
Steffen Neumann - Leibniz Institute of Plant Biochemistry
Jos Hageman - Wageningen University & Research
Bénédicte Elena-Herrmann. CNRS, Grenoble
Johan Westerhuis - University of Amsterdam