An introduction to metabolomics and its application in life-sciences 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 overview of metabolomics and its applications in life sciences, clinical and environmental settings. Over 2 days 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.
The course content will predominantly be based on analysing samples from model plant species such as Arabidopsis thaliana but the procedures are transferable to all other organisms, including clinical and environmental settings.
A draft agenda can be found here.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.
- This course is aimed at researchers with an interest in metabolomics and its applications
- Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
- Further details regarding eligibility criteria are available here
- Further details regarding the charging policy are available here
Number of sessions: 2
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Mon 20 Jun 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Dr Reza Salek, Dr Matt P Davey, Dr Alexandra M Murphy |
| 2 | Tue 21 Jun 2016 09:30 - 17:30 | 09:30 - 17:30 | Bioinformatics Training Room, Craik-Marshall Building | map | Dr Reza Salek, Dr Matt P Davey, Dr Alexandra M Murphy |
Bioinformatics, Cell biology, Data visualisation, Data handling, Functional genomics, Metabolomics
After this course you should be able to:
- Evaluate advantages and limitations of some analytical techniques used in metabolomics studies
- Recognize the principles behind data analysis and metabolite identification including key multivariate statistics
- Access and use a number of key online resources for metabolomics research
During this course you will learn about:
- Different metabolomics techniques for data collection
- Metabolomics data processing and analysis overview including the basics of conducting univariate and multivariate statistics
- Using pathway databases to perform metabolic pathway and network analysis
- Working with metabolomic databases and exploring chemical databases
- Overview of EMBL-EBI MetaboLights database for metabolomics data
Presentations, demonstrations and practicals
2
A number of times per year
Booking / availability