Hands-on Data Analysis for Metabolomics

By the end of the course you will be able to:

• Describe the main ideas and concepts underlying untargeted metabolomics
• Outline the characteristics of NMR & LCMS metabolomic data, and how these influence data analysis
• Process both NMR and LCMS metabolomic data, ensuring high quality and reproducibility
• Discuss the concepts, strengths and weaknesses of multivariate statistical techniques such as PCA and OPLS as applied to metabolomics data
• Summarise the main data-driven techniques helping to identify unknown metabolites
• Explain the main ideas behind pathway analysis with metabolite data
  Apply all these tools to your own data with confidence and understanding

Learning and teaching methods

The course consists of:

• Lectures covering the computational metabolomics techniques
• Hands-on practical sessions analysing example data sets
• Discussion and Q&A sessions addressing key data analysis topics

Our courses are designed for customers from universities, research institutions and industry who wish to expand their knowledge and skills in metabolomics, including:

• Analytical scientists working with complex mixtures
• Bioinformaticians or statisticians wishing to understand metabolomics techniques
• Clinicians interested in applying metabolomics to their clinical studies

The course assumes no prior knowledge of multivariate statistics, and does not require prior coding experience.  To fully benefit from this course, attendees will ideally have a basic knowledge of analytic chemistry techniques.

£900 Early Bird fee (until 15 May)

£1100 Standard fee (after 15 May)

Bursaries:

Three bursaries are available for this course which cover the early bird fee of £900. Bursaries will be prioritised to applicants who are:

• a current PhD student or postdoc,
• who currently apply metabolomics in clinical/toxicology/medical/informatics settings. 

The deadline for applying for a bursary is 12 Midday (BST) 1 May. To apply click on link below:
 
Bursary application

A 20% administration fee will be levied for cancellations made up to two weeks prior to the start of the course.  Cancellations thereafter will be liable to the loss of the full fee.  Notice of cancellation must be given in writing by letter or fax and action will be taken to recover, from the delegates or their employers, that proportion of the fee owing at the time of cancellation. 

Imperial College London reserves the right to cancel an advertised course at short notice.  It will endeavour to provide participants with as much notice as possible, but will not accept liability for costs incurred by participants or their organisations for the cancellation of travel arrangements and/or accommodation reservations as a result of the course being cancelled or postponed.  If a course is cancelled, fees will be refunded in full. Imperial College also reserves the right to postpone or make such alterations to the content of a course as may be necessary.