Metabolomics experiments based on mass spectrometry (MS) or nuclear magnetic resonance (NMR) produce large and complex data sets. This course will introduce approaches to process and analyse data and design high-quality experiments. Through hands-on workshops and lectures highlighting the different concepts you will get a thorough basis for tackling the challenges in metabolomics data analysis.
Course dates: 7-8 April 2022
Why follow this course?
The course provides an overview of the tools and approaches used to design a study, process and analyse the data, avoiding common traps and mistakes. Principles will be explained in a general way, meaning they are valid for all common data acquisition platforms (e.g., NMR and MS) and software packages. The focus is on understanding, correct application and interpretation. After the course, participants are able to design appropriate experiments for typical metabolomics studies, taking into account quality assurance and quality control considerations.
For whom is this course?
This course targets professionals working in health and life sciences (e.g., food industry, breeding and seed business, pharmaceutical companies, hospital laboratories, biotech and agro chemical industry). Presumed knowledge: a background in and basic understanding of analytical chemistry or metabolomics by work or education. No prior knowledge of programming, mathematics or statistics is assumed.
