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The '''Golm Metabolome Database (GMD)''' <ref>{{cite journal | title= Decision tree supported substructure prediction of metabolites from GC-MS profiles|author= Hummel J, Strehmel N, Selbig J, Walther D and Kopka J|journal= [[Metabolomics]] |volume=6 |pages=322-333 |year=2010 |doi=10.1007/s11306-010-0198-7 | issue= 2}}</ref><ref>{{cite journal | title= Retention index thresholds for compound matching in GC-MS metabolite profiling|author= Strehmel N, Hummel J, Erban A, Strassburg K and Kopka J |journal= [[Journal of Chromatography B]] |volume=871 |pages=182-190 |year=2008 |doi=10.1016/j.jchromb.2008.04.042 | issue= 2}}</ref><ref>{{cite book |last1=Hummel |first1=Jan|last2=Selbig |first2=Joachim|last3=Walther |first3=Dirk|last4=Kopka |first4=Joachim |editor-first=John |editor-last1=Nielsen |editor-last2=Jewett |title=Metabolomics |publisher=Springer Berlin Heidelberg |date=2007 |pages=75-96 |chapter=The Golm Metabolome Database: a database for GC-MS based metabolite profiling |isbn=978-3-540-74719-2 |doi=10.1007/4735_2007_0229}}</ref><ref>{{cite journal | title= GC-MS libraries for the rapid identification of metabolites in complex biological samples|author= Schauer N, Steinhauser D, Strelkov S, Schomburg D, Allison G, Moritz T, Lundgren K, Roessner-Tunali U, Forbes MG, Willmitzer L, Fernie AR and Kopka J |journal= [[FEBS letters]] |volume=579 |pages=1332-1337 |year=2005 |doi=10.1016/j.febslet.2005.01.029 | issue= 6}}</ref><ref>{{cite journal | title= GMD@CSB.DB: the Golm Metabolome Database|author= Kopka J, Schauer N, Krueger S, Birkemeyer C, Usadel B, Bergmuller E, Dormann P, Weckwerth W, Gibon Y, Stitt M, Willmitzer L, Fernie AR and Steinhauser D |journal= [[Bioinformatics]] |volume=21 |pages=1635-1638 |year=2005 |doi=10.1093/bioinformatics/bti236 | issue= 8}}</ref> is a [[gas chromatography–mass spectrometry]] (GC-MS) reference library dedicated to [[metabolite]] profiling experiments and comprises mass spectral and retention index (RI) information for non-annotated mass spectral tags (MSTs, mass spectral information with [[retention time]] attached indices) together with data of a multitude of already identified metabolites and reference substances. The GMD is hosted at the [[Max Planck Institute for Molecular Plant Physiology]] in [[Potsdam]], Germany.
== Background ==
Gas chromatography (GC) coupled to mass spectrometry (MS) is one of the most widespread routine technologies applied to the large scale screening and discovery of novel metabolic biomarkers. However, the majority of MSTs currently measured in plant [[metabolomic]] [[profiling]] experiments remains unidentified due to the lack of authenticated pure reference substances and the expensive and time-consuming effort to maintain mass spectral RI libraries required for compound identification by GC-MS.
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