Integration of proteomic and metabolomic profiling as well as metabolic modeling for the functional analysis of metabolic networks

Patrick May, Nils Christian, Oliver Ebenhoeh, Wolfram Werkwerth, Dirk Walther

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationBioinformatics for Comparative Proteomics
EditorsCathy H. Wu, Chuming Chen
Place of PublicationTotowa, NJ, USA
PublisherHumana Press
Pages341-363
Number of pages23
Volume694
ISBN (Print)1607619768, 978-1607619765
DOIs
Publication statusPublished - 2011

Publication series

NameMethods in Molecular Biology
PublisherHumana Press
Number3
Volume694

    Fingerprint

Cite this

May, P., Christian, N., Ebenhoeh, O., Werkwerth, W., & Walther, D. (2011). Integration of proteomic and metabolomic profiling as well as metabolic modeling for the functional analysis of metabolic networks. In C. H. Wu, & C. Chen (Eds.), Bioinformatics for Comparative Proteomics (Vol. 694, pp. 341-363). (Methods in Molecular Biology; Vol. 694, No. 3). Totowa, NJ, USA: Humana Press. https://doi.org/10.1007/978-1-60761-977-2_21