title: Processing and analysis of GC/LC-MS-based metabolomics data.
abstract: Data processing forms a crucial step in metabolomics studies, impacting upon data output quality, analysis potential and subsequent biological interpretation. This chapter provides an overview of data processing and analysis of GC-MS- and LC-MS-based metabolomics data. Data preprocessing steps are described, including the different software available for dealing with such complex datasets. Multivariate techniques for the subsequent analysis of metabolomics data, including principal components analysis (PCA) and partial least squares discriminant analysis (PLS-DA), are described with illustrations. Steps for the identification of potential biomarkers and the use of metabolite databases are also outlined.
authors.affiliation: Biomolecular Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College, London, UK. e.want@imperial.ac.uk
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Want
authors.forename: Perrine
authors.initials: P
authors.lastname: Masson
mesh_terms: D000818:Animals; D002849:Chromatography, Gas / Q000379:methods*; D002853:Chromatography, Liquid / Q000379:methods*; D016208:Databases, Factual; D016002:Discriminant Analysis; D006801:Humans; D016018:Least-Squares Analysis; D013058:Mass Spectrometry / Q000379:methods*; D055432:Metabolomics / Q000379:methods*; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D012984:Software; D013223:Statistics as Topic / Q000379:methods*