title: Integration of proteomic and metabolomic profiling as well as metabolic modeling for the functional analysis of metabolic networks.
abstract: 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.
authors.affiliation: Max-Planck-Institute for Molecular Plant Physiology, Potsdam-Golm, Germany.
authors.forename: Patrick
authors.initials: P
authors.lastname: May
authors.forename: Nils
authors.initials: N
authors.lastname: Christian
authors.forename: Oliver
authors.initials: O
authors.lastname: Ebenhöh
authors.forename: Wolfram
authors.initials: W
authors.lastname: Weckwerth
authors.forename: Dirk
authors.initials: D
authors.lastname: Walther
mesh_terms: D016000:Cluster Analysis; D001467:Hordeum / Q000378:metabolism; D053858:Metabolic Networks and Pathways; D055432:Metabolomics / Q000379:methods*; D008954:Models, Biological; D040901:Proteomics / Q000379:methods*; D012639:Seeds / Q000378:metabolism; D012984:Software; D013997:Time Factors