Article (Scientific journals)
Integration of proteomic and metabolomic profiling as well as metabolic modeling for the functional analysis of metabolic networks.
May, Patrick; Christian, Nils; Ebenhoh, Oliver et al.
2011In Methods in Molecular Biology, 694, p. 341-63
Peer reviewed
 

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Keywords :
Cluster Analysis; Hordeum/metabolism; Metabolic Networks and Pathways; Metabolomics/methods; Models, Biological; Proteomics/methods; Seeds/metabolism; Software; Time Factors
Abstract :
[en] The integrated analysis of different omics-level data sets is most naturally performed in the context of common process or pathway association. In this chapter, the two basic approaches for a metabolic pathway-centric integration of proteomics and metabolomics data are described: the knowledge-based approach relying on existing metabolic pathway information, and a data-driven approach that aims to deduce functional (pathway) associations directly from the data. Relevant algorithmic approaches for the generation of metabolic networks of model organisms, their functional analysis, database resources, visualization and analysis tools will be described. The use of proteomics data in the process of metabolic network reconstruction will be discussed.
Disciplines :
Biochemistry, biophysics & molecular biology
Author, co-author :
May, Patrick  ;  Max Planck Institute for Molecular Plant Physiology > Bioinformatics
Christian, Nils ;  Max Planck Institute for Molecular Plant Physiology
Ebenhoh, Oliver
Weckwerth, Wolfram
Walther, Dirk
Language :
English
Title :
Integration of proteomic and metabolomic profiling as well as metabolic modeling for the functional analysis of metabolic networks.
Publication date :
2011
Journal title :
Methods in Molecular Biology
ISSN :
1064-3745
Volume :
694
Pages :
341-63
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 23 April 2013

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