Introduction to Metabolomics (IN-PERSON) BeginnersUpdated
The goal of metabolomics is to identify and quantify the complete biochemical composition of a biological sample. With the increase in genomic, transcriptomic and proteomic information there is a growing need to understand the metabolic phenotype that these genes and proteins ultimately control.
The aim of this course is to provide an introductory overview of metabolomics and its applications in life sciences and environmental settings. We will introduce different techniques used to extract metabolites and analyse samples to collect metabolomic data (such as HPLC or GC-based MS and NMR), present how to analyse such data, how to identify metabolites using online databases and how to map the metabolomic data to metabolic pathways.
| As a follow-up of this course, we run an extra data clinic on 20 June AM, where you can get one-to-one support with your own data analysis and/or experimental design. This is exclusively available to participants on this course. |
If you do not have a University of Cambridge Raven account please book or register your interest here.
- ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
- Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
- Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
- Further details regarding eligibility criteria are available here.
- Guidance on visiting Cambridge and finding accommodation is available here.
- This course is aimed at researchers with an interest in metabolomics and its applications.
- No prior experience in the analysis of these types of data is required.
Bioinformatics, Data visualisation, Data handling, Metabolomics
During this course you will learn about:
- Evaluating the advantages and limitations of the analytical techniques used in metabolomics studies.
- Recognizing the principles behind data analysis and metabolite identification including key statistical methods.
- Accessing and using a number of key online resources for metabolomics research, including databases for metabolomics data.
After this course you should be able to:
- Recognise the different metabolomics techniques available and their suitability for different applications.
- Process and analyse metabolomics data, including how to apply univariate and multivariate statistical analysis techniques.
- Use pathway databases to perform metabolic pathway and network analysis.
- Work with and explore metabolomic and chemical databases.
Presentations, demonstrations and practicals
| Day | Time | Topics | |
|---|---|---|---|
| Day 1 | 9:30 - 10:00 | Introduction to metabolomics: what it can and cannot do | |
| 10:00 - 11:00 | Targeted and untargeted metabolomics introduction | ||
| 11:00 - 11:15 | Break | ||
| 11:15 - 12:30 | How to identify one metabolite (practical) | ||
| 12:30 - 13:30 | Lunch (not provided) | ||
| 13:30 - 15:00 | From simple statistics to multivariate statistics (inc. practical) | ||
| 15:00 - 15:15 | Break | ||
| 15:15 - 17:00 | Quantification, standard curves and internal standards for GC data (inc. practical) | ||
| Day 2 | 9:30 - 10:30 | Data Integration | |
| 10:30 - 11:15 | Volatiles and Gases – SPME and headspace ECD analysis | ||
| 11:15 - 11:30 | Break | ||
| 11:30 - 13:00 | Pathway Analysis (inc. practical) | ||
| 13:00 - 14:00 | Lunch (not provided) | ||
| 14:00 - 14:45 | Metabolomic resource databases | ||
| 14:45 - 15:00 | Break | ||
| 15:00 - 17:00 | Application of NMR in metabolomics |
- Free for registered University of Cambridge students
- £ 60/day for all University of Cambridge staff, including postdocs, temporary visitors (students and researchers) and participants from Affiliated Institutions. Please note that these charges are recovered by us at the Institutional level
- It remains the participant's responsibility to acquire prior approval from the relevant group leader, line manager or budget holder to attend the course. It is requested that people booking only do so with the agreement of the relevant party as costs will be charged back to your Lab Head or Group Supervisor.
- £ 60/day for all other academic participants from external Institutions and charitable organizations. These charges must be paid at registration
- £ 120/day for all Industry participants. These charges must be paid at registration
- Further details regarding the charging policy are available here
2
A number of times per year
Events available