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Bioinformatics Advance Access published online on April 3, 2006
Bioinformatics, doi:10.1093/bioinformatics/btl119
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© The Author (2006). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
Received September 13, 2005
Revised March 24, 2006
Accepted March 25, 2006

Discovery note

Global dynamics of biological systems from time-resolved omics experiments

Martin G. Grigorov 1 *

1 Nestlé Research Center, BioAnalytical Science, CH-1000 Lausanne 26, Switzerland

* To whom correspondence should be addressed.
Martin G. Grigorov, E-mail: martin.grigorov{at}rdls.nestle.com


  Abstract

The emergent properties of biological systems, organized around complex networks of irregularly connected elements, limit the applications of the direct1 scientific method to their study. The current lack of knowledge opens new perspectives to the inverse1,2 scientific paradigm where observations are accumulated and analysed by advanced data-mining techniques to enable a better understanding and the formulation of testable hypotheses about the structure and functioning of these systems2. The current technology allows for the wide application of omics analytical methods3 in the determination of time-resolved molecular profiles of biological samples4,5. Here it is proposed that the theory of dynamical systems6 could be the natural framework for the proper analysis and interpretation of such experiments. A new method is described, based on the techniques of non-linear time series analysis7, which is providing a global view on the dynamics of biological systems probed with time-resolved omics experiments.

Associate Editor: Martin Bishop
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