Poster Abstracts for Category F: Metabolomics Poster F01 The Metabolomic Landscape: Emergent Self Organizing Maps for Metabolome Analysis Karsten Hiller (1), Beatrice Benkert (1), Andreas Grote (1), Bernhard Thielen (2), Richard Munch (1), Dietmar Schomburg (2), Dieter Jahn (1) (1) Institute of Microbiology, Technical University of Braunschweig; (2) Institute of Biochemistry, University of Cologne Abstract: In order to interpret experimentally obtained metabolomics data we used algorithms based on Emergent Self Organizing Maps (ESOMs). The experimental data was used for the training of the ESOM. Further analysis of the ESOM yielded to a specific clustering of the data corresponding to the different growth conditions. Finally, we statistically determined significant similarities and differences between the clusters and linked the results to the metabolic KEGG pathways. Contact: k.hiller [at] tu-bs.de Keywords: Metabolomics, Self Organizing Maps, Metabolome Poster F02 Metabolomics in Plants and Yeast: Gene Function and Metabolic Pathway Discovery via Analytical Chemistry, Chemometrics and Computational Biology Ilya Venger* (1,2), Ilana Rogachev* (2), Tali Mandel (2), Yitzhak Pilpel (1), Asaph Aharoni (2) (1) Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot, Israel; (2) Department of Plant Sciences, The Weizmann Institute of Science, Rehovot, Israel Abstract: Metabolomics aims at the quantitation of all the small molecules present within a cell in a particular condition. We have established Gas and Liquid Chromatography (GC and LC) coupled to Mass Spectrometry (MS) platforms for the metabolome analysis of Solanum lycopersicum (Tomato) and Saccharomyces cerevisiae. Each analyzed sample could be represented as a vector in the multidimensional space of metabolites' concentrations. Using non-parametric inference we were able to gain insight into the biochemical impact of a mutation in tomato and discern between a set of deletion mutants in yeast. Contact: asaph.aharoni [at] weizmann.ac.il Keywords: Metabolomics, GC-MS, LC-MS, Saccharomyces cerevisiae