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This article is part of the supplement: 22nd International Conference on Genome Informatics: Systems Biology

Open Access Proceedings

Framework for network modularization and Bayesian network analysis to investigate the perturbed metabolic network

Hyun Uk Kim12, Tae Yong Kim12* and Sang Yup Lee123*

Author Affiliations

1 Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 program), Center for Systems and Synthetic Biotechnology, Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 305-701, Republic of Korea

2 BioInformatics Research Center, KAIST, Daejeon 305-701, Republic of Korea

3 Department of Bio and Brain Engineering and BioProcess Engineering Research Center, KAIST, Daejeon 305-701, Republic of Korea

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BMC Systems Biology 2011, 5(Suppl 2):S14  doi:10.1186/1752-0509-5-S2-S14

Published: 14 December 2011

Additional files

Additional file 1:

Table S1. Detailed information of clustered core reactions and their duplicate reactions in E. coli metabolism perturbed with lpdA knockout.

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Additional file 2:

Figure S1. Local scale Bayesian networks of clusters from wild-type and lpdA mutant of E. coli.

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