Semantically Annotated RESTful Services for Large-scale Metabolomics Data Analysis

Abstract

<p>The term metabolomics is defined as a comprehensive analysis in which metabolites of a biological system are identified and quantified. Any technique that can quantify metabolites can be used for metabolomics, but there are two primary techniques seen in the literature: nuclear magnetic resonance (NMR) and mass spectrometry with a prior on-line separation step such as high performance liquid chromatography (HPLC) or gas chromatography (GC). While neither technique is strictly superior, each technique has its own advantages and disadvantages. Existing applications include the identification of biomarkers associated with responses to toxin and pathophysiologic changes, sample classification based on the type of toxic exposure, large scale human studies, clinical diagnosis, and the study of genetic disorders.</p><p>This poster was presented at the Ohio Collaborative Conference on Bioinformatics 2010, Columbus, Ohio, June 15-17, 2010.</p>