BMC Bioinformatics

official impact factor 3.03

Open Access Highly Access Methodology article

An analytic and systematic framework for estimating metabolic flux ratios from 13C tracer experiments

Ari Rantanen1,2*, Juho Rousu1, Paula Jouhten3, Nicola Zamboni2, Hannu Maaheimo3 and Esko Ukkonen1

Author Affiliations

1 Department of Computer Science, University of Helsinki, Finland

2 Institute of Molecular Systems Biology, ETH Zurich, Switzerland

3 VTT Technical Research Centre of Finland, Finland

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BMC Bioinformatics 2008, 9:266 doi:10.1186/1471-2105-9-266

Published: 6 June 2008

Additional files

Additional file 1:

Model of central carbon metabolism of S. cerevisiae in SBML format. Additional file 1 contains the stoichiometric model of central carbon metabolism of S. cerevisiae used in the experiments of the article. The model is provided as a text file containing SBML compliant descriptions of metabolites and reactions in the model. Metabolites are identified by their KEGG LIGAND codes.

Format: TXT Size: 43KB Download file

Open Data

Additional file 2:

Illustration of the model of central carbon metabolism of S. cerevisiae. Bidirectional reactions in PPP pathways are depicted as unidirectional for better readability.

Format: PDF Size: 22KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data

Additional file 3:

Model of central carbon metabolism of B. subtilis in SBML format. Additional file 2 contains the stoichiometric model of central carbon metabolism of B. subtilis used in the experiments of the article. The model is provided as a text file containing SBML compliant descriptions of metabolites and reactions in the model. Metabolites are identified by their KEGG LIGAND codes.

Format: TXT Size: 36KB Download file

Open Data

Additional file 4:

Illustration of the model of central carbon metabolism of B. subtilis. Bidirectional reactions in PPP pathways are depicted as unidirectional for better readability.

Format: PDF Size: 19KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data