This 1-day course provides an introduction to metabolomics for complete beginners, providing an overview of the history, development and current use of metabolomics in fields such as clinical, environmental, flavour and fragrance and biotechnology applications and it's use in method development.
The course provides a summary of the workflows in a metabolomics study, as an example, and goes on to outline the considerations when designing a metabolomics experiment or study including sampling and quality control, metadata and sample preparation techniques.
The course will provide an overview of different Mass Spectrometry-based instrumentation and other techniques (such as NMR and Infrared) that produce data used for metabolomic analysis.
The course covers data processing and statistical analysis including worked examples using data analysis software. This section will cover processing and preparation of mass spectrometry data and will give an overview of Multivariate Statistical Analysis techniques for Biomarker Discovery, Environmental Analysis, Flavour and Fragrance Analysis and in Method Development. It will go through the different chemometric techniques, methods and tools used for creating and mapping data and includes an overview of the various commercial and freeware software tools available.
The final part of the course goes on to explore the frontiers of metabolomics and advancements in the field.
The course provides a summary of the workflows in a metabolomics study, as an example, and goes on to outline the considerations when designing a metabolomics experiment or study including sampling and quality control, metadata and sample preparation techniques.
The course will provide an overview of different Mass Spectrometry-based instrumentation and other techniques (such as NMR and Infrared) that produce data used for metabolomic analysis.
The course covers data processing and statistical analysis including worked examples using data analysis software. This section will cover processing and preparation of mass spectrometry data and will give an overview of Multivariate Statistical Analysis techniques for Biomarker Discovery, Environmental Analysis, Flavour and Fragrance Analysis and in Method Development. It will go through the different chemometric techniques, methods and tools used for creating and mapping data and includes an overview of the various commercial and freeware software tools available.
The final part of the course goes on to explore the frontiers of metabolomics and advancements in the field.
