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Decomposition of metabolic network into functional modules based on the global connectivity structure of reaction graph
Author(s) -
Hongwu Ma,
Xueming Zhao,
YingJin Yuan,
AnPing Zeng
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bth167
Subject(s) - metabolic network , computer science , decomposition , network analysis , modularity (biology) , graph , graph theory , theoretical computer science , complex network , power graph analysis , tree structure , modular design , mathematics , algorithm , computational biology , chemistry , biology , combinatorics , physics , genetics , organic chemistry , quantum mechanics , world wide web , binary tree , operating system
Metabolic networks are organized in a modular, hierarchical manner. Methods for a rational decomposition of the metabolic network into relatively independent functional subsets are essential to better understand the modularity and organization principle of a large-scale, genome-wide network. Network decomposition is also necessary for functional analysis of metabolism by pathway analysis methods that are often hampered by the problem of combinatorial explosion due to the complexity of metabolic network. Decomposition methods proposed in literature are mainly based on the connection degree of metabolites. To obtain a more reasonable decomposition, the global connectivity structure of metabolic networks should be taken into account.

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