Presented by Dr. Ruey-Leng Loo (Murdoch University, Western Australia) Metabolic phenotyping (metabolomics/metabonomics) by mass spectrometry and nuclear magnetic resonance spectroscopy has been increasingly applied to human population studies. Different data analysis tools have been applied to interpret the complex metabolic phenotyping datasets generated by these analytical platforms. However, these techniques are often inefficient for extracting detailed information from these complex datasets. In this talk, I will describe an interactive software pipeline for exploratory analyses of real population-based nuclear magnetic resonance spectral data using the Combined Multi-block Principal component Analysis with Statistical Spectroscopy (COMPASS). I will explain the key principles behind the COMPASS approach and will conclude the talk by demonstrating some of its key advantages.