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Briefings in Bioinformatics Advance Access originally published online on May 11, 2006
Briefings in Bioinformatics 2006 7(2):151-158; doi:10.1093/bib/bbl009
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© The Author 2006. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

Special Issue Papers

Review: On the analysis and interpretation of correlations in metabolomic data

Ralf Steuer

Ralf Steuer, University Potsdam, Insitute of Physics, Am Neuen Palais 10, Haus 19, 14469 Potsdam, Germany. E-mail: steuer{at}agnld.uni-potsdam.de

A remarkable inherent feature of cellular metabolism is that the concentrations of a small but significant number of metabolites are strongly correlated when measurements of biological replicates are performed. This review seeks to summarize the recent efforts to elucidate the origin of these observed correlations and points out several aspects concerning their interpretation. It is argued that correlations between metabolites differ profoundly from their transcriptomic and proteomic counterparts, and a straightforward interpretation in terms of the underlying biochemical pathways will unavoidably fail. It is demonstrated that the comparative correlations analysis offers a way to exploit the observed correlations to obtain additional information about the physiological state of the system.

Keywords: correlation and association networks, data analysis, differential correlations, metabolomics


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F. Jourdan, R. Breitling, M. P. Barrett, and D. Gilbert
MetaNetter: inference and visualization of high-resolution metabolomic networks
Bioinformatics, January 1, 2008; 24(1): 143 - 145.
[Abstract] [Full Text] [PDF]


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