MetaboLyzer: A Novel Statistical Workflow for Analyzing Postprocessed LC–MS Metabolomics Data

• Published in: Analytical chemistry (Washington) Vol. 86; no. 1; pp. 506 - 513
• Main Authors: Mak, Tytus D, Laiakis, Evagelia C, Goudarzi, Maryam, Fornace, Albert J
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 07.01.2014
• Subjects: Animals; Chromatography; Chromatography, Liquid - methods; Humans; Lipids; Mass spectrometry; Mass Spectrometry - methods; Metabolites; Metabolomics - methods; Mice; Molecules; Obstacles; Pathways; Rodents; Statistical analysis; Statistical methods; Statistics as Topic - methods; Three dimensional; Workflow

Metabolomics, the global study of small molecules in a particular system, has in the past few years risen to become a primary -omics platform for the study of metabolic processes. With the ever-increasing pool of quantitative data yielded from metabolomic research, specialized methods and tools with...