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Open Access Methodology article

FFCA: a feasibility-based method for flux coupling analysis of metabolic networks

Laszlo David123, Sayed-Amir Marashi24*, Abdelhalim Larhlimi5, Bettina Mieth26 and Alexander Bockmayr12*

Author Affiliations

1 DFG-Research Center Matheon, Berlin, Germany

2 FB Mathematik und Informatik, Freie Universität Berlin, Arnimallee 6, D-14195 Berlin, Germany

3 Berlin Mathematical School (BMS), Berlin, Germany

4 International Max Planck Research School for Computational Biology and Scientific Computing (IMPRS-CBSC), Max Planck Institute for Molecular Genetics, Ihnestr. 63-73, D-14195 Berlin, Germany

5 Department of Bioinformatics, Institute for Biochemistry and Biology, University of Potsdam, Karl-Liebknecht-Str. 24-25, D-14476 Potsdam, Germany

6 School of Mathematics, University of Southampton, Highfield, Southampton, SO17 1BJ, UK

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BMC Bioinformatics 2011, 12:236  doi:10.1186/1471-2105-12-236

Published: 15 June 2011

Additional files

Additional file 1:

Different approaches to flux coupling analysis and implementation details. In this file, pseudocodes and implementation details of different FCA methods are presented.

Format: PDF Size: 198KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 2:

Dependence of flux coupling analysis on the number of reversible reactions. In this file, we show how flux coupling relations depend on the number of reversible reactions in the E. coli metabolic network.

Format: PDF Size: 33KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data