Using gene expression data and network topology to detect substantial pathways,clusters and switches during oxygen deprivation of <Emphasis Type="Italic">Escherichia coli</Emphasis> |
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| Authors: | Gunnar Schramm Marc Zapatka Roland Eils Rainer König |
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| Institution: | (1) Theoretical Bioinformatics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany;(2) Department of Bioinformatics and Functional Genomics, Institute of Pharmacy and Molecular Biotechnology, University of Heidelberg, 69120 Heidelberg, Germany |
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| Abstract: | Background Biochemical investigations over the last decades have elucidated an increasingly complete image of the cellular metabolism.
To derive a systems view for the regulation of the metabolism when cells adapt to environmental changes, whole genome gene
expression profiles can be analysed. Moreover, utilising a network topology based on gene relationships may facilitate interpreting
this vast amount of information, and extracting significant patterns within the networks. |
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