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Open Access Green as soon as Postprint is submitted to ZB.
TICL - a web tool for network-based interpretation of compound lists inferred by high-throughput metabolomics.
FEBS J. 276, 2084-2094 (2009)
High-throughput metabolomics is a dynamically developing technology that enables the mass separation of complex mixtures at very high resolution. Metabolic profiling has begun to be widely used in clinical research to study the molecular mechanisms of complex cell disorders. Similar to transcriptomics, which is capable of detecting genes at differential states, metabolomics is able to deliver a list of compounds differentially present between explored cell physiological conditions. The bioinformatics challenge lies in a statistically valid interpretation of the functional context for identified sets of metabolites. Here, we present TICL, a web tool for the automatic interpretation of lists of compounds. The major advance of TICL is that it not only provides a model of possible compound transformations related to the input list, but also implements a robust statistical framework to estimate the significance of the inferred model. The TICL web tool is freely accessible at http://mips.helmholtz-muenchen.de.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
bioinformatics tools for high-throughput metabolomics; metabolomics; statistical analysis and data mining; statistical and bioinformatics tools; web tools for metabolomics; gene-expression; mass-spectrometry; complex functionality; level analysis; pathways; bioinformatics; visualization; patterns; systems; routes
ISSN (print) / ISBN
1742-464X
e-ISSN
1742-4658
Journal
FEBS Journal, The
Quellenangaben
Volume: 276,
Issue: 7,
Pages: 2084-2094
Publisher
Wiley
Non-patent literature
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Reviewing status
Peer reviewed