Hands-on Data Analysis for Metabolic Profiling

21 April 2020 09:00 - 24 April 2020 17:00, London, United Kingdom


Introduction
The course offers a comprehensive, hands-on training in processing and analysing metabolomics data from LC-MS and NMR technologies.

Attendees will have the opportunity to:
  • Learn directly from internationally recognised leaders in the field;
  • Benefit from practical training in computational techniques and statistical methods;
  • Enjoy excellent networking opportunities with IIPTC specialists and fellow trainees.
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
  • Lectures covering the computational metabolomics techniques
  • Hands-on practical sessions analysing example data sets
  • Discussion and Q&A sessions addressing key data analysis topics
  • Networking and social opportunities
Speakers
Venue
Imperial College London, South Kensington Campus

Room tbc, Sir Alexander Fleming Building, Imperial College London, South Kensington Campus, Imperial College London, Exhibition Road, London, SW7 2AZ, United Kingdom

Organised by
Centre for Continuing Professional Development
Imperial College London
South Kensington Campus
 
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