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A protocol for LC-MS metabolomic data processing using chemometric tools

AuthorsGorrochategui, Eva; Jaumot, Joaquim; Tauler, Romà
Computational biology
Issue Date30-Nov-2015
PublisherNature Publishing Group
CitationProtocol exchange 2015
AbstractLiquid chromatography- mass spectrometry (LC-MS) is a powerful methodology for metabolomics. However, LC-MS data processing comes out as the “bottleneck” of omic sciences due to its complexity. The present protocol, easy to execute in MATLAB environment, covers all data analysis steps (conversion and import, compression and processing) of LC-MS data sets and it is specifically designed for users with limited background in chemometric and data analysis tools. Data conversion and import are described for most important LC-MS manufacturers (i.e., Waters, Thermo Fischer, Agilent, AB Sciex and Bruker), data compression consists on the search of “regions of interest” (ROI) and data processing is based on the use of Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS), a powerful chemometric tool that allows chromatographic resolution. Results are rapidly achieved (usually ˂ 15 min per sample), and they are easy to interpret and evaluate both in terms of chemistry and biology.
Publisher version (URL)10.1038/protex.2015.102
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