DocumentCode :
2378249
Title :
A method of biological pathway similarity search using high performance computing
Author :
Jiang, Keyuan ; Huang, Yingmeng ; Robertson, Joseph
Author_Institution :
Dept. of Comput. Inf. Technol. & Graphics, Purdue Univ. Calumet, Hammond, IN, USA
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
4933
Lastpage :
4936
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.
Keywords :
XML; biology computing; Condor method; XML format; biological pathway; high-performance computing; pair-wise comparison; pathway repository; scoring mechanism; similarity search; Animals; Computing Methodologies; Humans; Signal Transduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5332712
Filename :
5332712
Link To Document :
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