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          Institute: MPI für molekulare Pflanzenphysiologie     Collection: Publikationen Pflanzenphysiologie     Display Documents



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ID: 251377.0, MPI für molekulare Pflanzenphysiologie / Publikationen Pflanzenphysiologie
GMD@CSB.DB: the Golm Metabolome Database
Authors:Kopka, J.; Schauer, N.; Krueger, S.; Birkemeyer, C.; Usadel, B.; Bergmuller, E.; Dormann, P.; Weckwerth, W.; Gibon, Y.; Stitt, M.; Willmitzer, L.; Fernie, A. R.; Steinhauser, D.
Language:English
Date of Publication (YYYY-MM-DD):2005-04-15
Title of Journal:Bioinformatics
Journal Abbrev.:Bioinformatics
Volume:21
Issue / Number:8
Start Page:1635
End Page:1638
Review Status:not specified
Audience:Not Specified
Abstract / Description:Metabolomics, in particular gas chromatography-mass spectrometry (GC-MS) based metabolite profiling of biological extracts, is rapidly becoming one of the cornerstones of functional genomics and systems biology. Metabolite profiling has profound applications in discovering the mode of action of drugs or herbicides, and in unravelling the effect of altered gene expression on metabolism and organism performance in biotechnological applications. As such the technology needs to be available to many laboratories. For this, an open exchange of information is required, like that already achieved for transcript and protein data. One of the key-steps in metabolite profiling is the unambiguous identification of metabolites in highly complex metabolite preparations from biological samples. Collections of mass spectra, which comprise frequently observed metabolites of either known or unknown exact chemical structure, represent the most effective means to pool the identification efforts currently performed in many laboratories around the world. Here we present GMD, The Golm Metabolome Database, an open access metabolome database, which should enable these processes. GMD provides public access to custom mass spectral libraries, metabolite profiling experiments as well as additional information and tools, e.g. with regard to methods, spectral information or compounds. The main goal will be the representation of an exchange platform for experimental research activities and bioinformatics to develop and improve metabolomics by multidisciplinary cooperation.
Free Keywords:systems-biology
; functional genomics
; escherichia-coli
; gene-expression
; tool
; representation
; spectrometry
; phenotypes
; community
; pathways
External Publication Status:published
Document Type:Article
Communicated by:N. N.
Affiliations:MPI für molekulare Pflanzenphysiologie/Molekulare Physiologie/AG Doermann
MPI für molekulare Pflanzenphysiologie/Molekulare Physiologie/AG Willmitzer/Fernie
MPI für molekulare Pflanzenphysiologie/Molekulare Physiologie/AG Kopka
MPI für molekulare Pflanzenphysiologie/Metabolische Netzwerke/AG Stitt
MPI für molekulare Pflanzenphysiologie/Metabolische Netzwerke/AG Weckwerth
External Affiliations:Max Planck Inst Mol Plant Physiol, Am Muhlenberg 1, D-14476 Golm, Germany
Max Planck Inst Mol Plant Physiol, D-14476 Golm, Germany
Swiss Fed Inst Technol, Inst Plant Sci, CH-8092 Zurich, Switzerland
Identifiers:ISI:000228401800050 [ID No:1]
ISI:000228401800050 [ID No:2]
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