My objectives

Target audience

The recommended course

  • To establish a LC-MS-based metabolic phenotyping laboratory
  • To be able to competently operate LC-MS to acquire metabolic profiles of biological samples through hands-on experience
  • To gain experience of untargeted and targeted LC-MS methodology, and development of these
  • To design and conduct a metabolic profiling project using LC-MS
  • Basic processing of LC-MS data, with some univariate and multivariate statistics
  • Early career researchers e.g. PhD students or postdoctoral researchers looking to move into metabonomics / metabolomics with LC-MS
  • People who need an understanding of metabolic profiling with LC-MS
  • More experienced LC-MS analysts who wish to troubleshoot their experiments
  • Theoretical knowledge of LC-MS (don’t need to have operated one)
  • Suitable for clinicians and researchers from industry who plan to use LC-MS for metabolic profiling
  • To establish an NMR spectroscopy-based metabolic phenotyping lab
  • To be competently operate NMR spectrometer for high-throughput metabolic profiling
  • To learn biomarker identification strategy (e.g. 2 dimensional NMR)
  • To design and conduct a metabolic profiling project
  • To be able to process the spectral data and perform multivariate statistical analysis
  • Early career researchers e.g. PhD students or postdoctoral researchers looking to move into metabonomics / metabolomics with NMR
  • People who need an understanding of metabolic profiling with NMR
  • More experienced NMR analysts who wish to troubleshoot their experiments
  • Suitable for clinicians and researchers from industry who plan to use NMR for metabolic profiling
  • To understand the aims of untargeted metabolic profiling
  • To understand the characteristics of metabolic profile data from NMR and LC-MS
  • To know the basic steps involved in pre-processing NMR and LC-MS profiles
  • To gain a good conceptual understanding of multivariate statistical methods like PCA and PLS
  • To be able to apply processing and modelling techniques using common software packages
  • Analytical scientists with minimal statistics knowledge and no coding experience
  • Bioinformaticians or statisticians wishing to understand more about techniques used in metabolic profiling
  • Clinicians with minimal statistics knowledge and no coding experience