Final Paper: Large-Scale Alignment of Encyclopedic Metabolic Networks

نویسنده

  • Tomer Altman
چکیده

Encyclopedic metabolic networks capture the sum of human knowledge of biochemical reactions and substrates as found across a multitude of organisms, and not one particular organism. A method for large-scale alignment of two such encyclopedic metabolic networks, KEGG and MetaCyc, has been designed to allow for a systematic comparison of their contents. A variety of methods for matching reactions and compounds in the two datasets and a method of scoring the fitness of the alignment are proposed.

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تاریخ انتشار 2009