Absolute Basics of Metabolomics
- Duration: 1 day for live courses 6.50 hours for on-demand
- Experience level: Beginners
- Delivery methods: Face-to-face | Offsite training & consultancy | On-Demand | Online | Onsite training & consultancy | Tailored training |
- Type of course: Universal
- Applicable to manufacturer(s): Agilent |
- CPD Approved: Not yet approved
- Scheduled course price: £385.00 + TAX per delegate
- Course discounts: RSC CAMS HEaTED Cambridge Network TSN members receive a discount on this course
Your beginner’s guide to metabolomics
Learn the fundamentals of metabolomics, with this 1-day classroom-based beginners course for professionals and students. This introduction to metabolomics will take you through from the concepts behind metabolomics, pathways and reactions of metabolites alongside the omics hierarchy. Followed by a basic introduction to chemometrics covering multivariate analysis, fundamental experiment design and basic statistical tests.
Whether you’re stepping into the world of metabolomics for the first time, or looking to refresh your metabolomic understanding, this essential metabolomics training course gives you the knowledge you need to understand metabolomics, the analytical technologies used, such as mass spectrometry, in the field and the basic statistical approaches to metabolomic data.
Why should I join?
On completion, you will be able to understand what defines metabolomics, how various analytical methods such as nuclear magnetic resonance (NMR), mass spectrometry (MS) and infrared spectroscopy are used within the field of metabolomics. You will also be able to understand the statistical analysis of metabolomic data, often termed “chemometrics”.
This metabolomic training course gives you:
- A solid understanding of metabolomics and its analytical workflows
- Clear explanations of metabolomics and the statistical analysis associated with it
- Insights into chromatography and MS concepts from separation through to ionisation, fragmentation and detection
- Understanding of data analysis, including data pre-processing and statistical concepts
- Familiarity with experimental design and where sources of variability can impact results
- Applications of metabolomics including medicine, health and genetic marker studies
- A great summary of metabolomics aided with an acronym glossary
This is your opportunity to learn metabolomics and how chemical data interpretation can aid your own workflows
What would I learn?
A beginner‑friendly introductory course focusing on the what, how, why, where and when of metabolomics, including:
- What metabolomics is
- The history of metabolomics and what metabolites are
- What defines metabolomics and the common terminology used in the field
- Diverse types of analytical techniques used for metabolomics including NMR and MS
- What the typical metabolomic workflow consists of, from raw data through to statistical analysis
- How metabolomics works
- The core principles of metabolomics
- How various analytical techniques contribute to metabolomics
- How various data analysis techniques are useful to metabolomic data including principal component analysis (PCA) and its main outputs
- How multivariate analysis can be applied to various metabolomic data
- Why we use metabolomics
- Why metabolomics is an important field in analytical chemistry today
- Why mass spectrometry aids in metabolomics
- Why chemometrics is vital to help process large data sets and why experimental design is key to success
- Where metabolomics is involved
- Where metabolomics contributes to genetic marker studies and biomarker identification
- Where various analytical techniques are used to aid the analysis of metabolites, whether it be gas chromatography mass spectrometry (GC-MS) or liquid chromatography mass spectrometry (LC-MS)
- When metabolomics is the right choice
- Examples of metabolic pathway engineering through to identifying biomarkers for screening or early diagnosis of diseases
- When chemometric techniques like PCA and multivariate analysis can be applied to metabolomic data
What knowledge will I gain?
By the end of the course, you will:
- Understand the principles and concepts of metabolomics
- Know the terminology behind metabolomics, typical metabolomic workflows and basic chemometric techniques
- Feel confident discussing metabolomics and mathematical statistics in chemistry
- Understand the several types of analytical techniques used in the field of metabolomics
- Be familiar with common statistical processes and how they can be applied to chemical data
- Comprehend the theories behind basic statistical and modelling methods
This course gives you the language and understanding needed to use metabolomics with everyday analytical chemistry data.
Is this course for me?
This training is designed for anyone who needs an introduction to metabolomics, including:
- For beginners to metabolomics
- Analysts & technicians wanting a clear, structured refresher
- Laboratory or line managers overseeing analytical data
- Data analysts and report writers who interpret results but do not use the instruments
- Service and consultant engineers who need a chemistry-focused viewpoint
- Sales, marketing, or commercial teams working with analytical chemistry data
Delegates must have a good understanding of analytical science and ideally have in-depth knowledge of at least one analytical chemistry technique that can produce data used in metabolomics.
If metabolomics touches your work in any way, this well-planned course delivered by experts in the field equips you to understand the use of metabolomics in everyday analytical chemistry.
