Quantitative Relationship Analysis of Bacterial Metabolic Network using ARACNE
2009
Nguyen, Thuy Vu An, University of Ulsan, Ulsan, Republic of Korea | Hong, S.H., University of Ulsan, Ulsan, Republic of Korea
Metabolic network is composed of more than thousands of metabolic reactions. Therefore, understanding of metabolic behavior of microorganisms is required to engineer metabolism of microorganisms. In this paper, we employed ARACNE (Algorithm for the Reconstruction of Accurate Cellular Networks) to quantify relationships among metabolic subpathways. The results showed that ARACNE analysis can give new insight into the study of bacterial metabolism.
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