Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
505868 | Computers in Biology and Medicine | 2010 | 10 Pages |
Abstract
Metabolic pathway diagrams provide a wealth of information on how reactions combine to perform biological functions. While pathway diagrams are arranged in a way that allows a specific area of metabolism to be visualised, the inherent complexity of each pathway makes it difficult to identify the sets of reactions linking groups of compounds; a common task for researchers attempting to explain observed correlations or looking for further compounds of potential interest to use in validation work. Here we introduce Linked Metabolites, a tool that identifies sets of reactions linking groups of compounds in the context of the KEGG pathway diagrams.
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
John M. Easton, Lisa M. Harris, Mark R. Viant, Andrew C. Peet, Theodoros N. Arvanitis,