title: A method of biological pathway similarity search using high performance computing.
abstract: Comparative study of biological pathway structures and composition can aid us in elucidating the functions of newly discovered pathways, understanding evolutionary traits, and determining missing pathway elements. A method has been developed to perform pair-wise comparison and similarity search of biological pathways. The comparison determines the differences of each pair of pathways represented in the XML format. The similarity search uses a scoring mechanism to rank the similarities of the pathway in question against those in the pathway repository. To achieve a reasonably good performance, the method is being implemented using the Condor high performance computing environment.
authors: Department of Computer Information Technology and Graphics, Purdue University Calumet, Hammond, IN 46323, USA. jiang@calumet.purdue.edu
authors: Keyuan
authors: K
authors: Jiang
authors: Yingmeng
authors: Y
authors: Huang
authors: Joseph
authors: J
authors: Robertson
mesh_terms: D000818:Animals; D003205:Computing Methodologies; D006801:Humans; D015398:Signal Transduction / Q000502:physiology*