Absolute Basics of Metabolomics
The Hands-on Advanced Injection course combines advanced GC training on Multi-Mode Inlets (MMIs) and Programmable Temperature Vaporizers (PTVs).
This course provides an overview of the history, development and current use of metabolomics in fields such as clinical, environmental, flavour and fragrance andbiotechnology applications and its use in method development.
The course opens with a walk-though 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 techniques, methods and tools used for creating and mapping dataand 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.
Who is this course for?
If you have no or very little knowledge of Metabolomics and would like to improve your knowledge in this area, then this is the course for you.
- Beginners - those new to Metabolomics.
- Analysts, Data Analysts or Technicians looking for a refresher in this technique.
- Lab Managers and Line Managers - those who are responsible for the data or the analysts performing data analysis.
- Report Writers - technical specialists who aren't performing the data analysis but are using the results.
- Service Engineers and Consultant Engineers - those who install the software or recommend the use of this technique but don't have the background.
- Those involved in the Sales or Marketing of the software or the technique for sample data analysis - e.g. manufacturers, contract labs, media companies.