DocumentCode
1990999
Title
MotifNetwork: Genome-Wide Domain Analysis using Grid-enabled Workflows
Author
Tilson, Jeffrey L. ; Blatecky, Alan ; Rendon, Gloria ; Ger, Mao-Feng ; Jakobsson, Eric
Author_Institution
Renaissance Comput. Inst., Chapel Hill
fYear
2007
fDate
14-17 Oct. 2007
Firstpage
872
Lastpage
879
Abstract
It has been recently demonstrated that the understanding of gene interactions, gene function and ultimately gene and organism evolutionary processes, is facilitated by determination of relationships among the constituent "domains" and "motifs." This understanding, however, comes at the expense of substantial computation necessary to support the required data mining. The detailed computations behind a typical domain and motif analysis are described in our recently developed grid-enabled environment called the MotifNetwork. In this work, the MotifNetwork is applied, for the first time, to large genome-wide association analysis of the entire Apis mellifera (honeybee) genome. Several impediments to this computation are identified including weaknesses in workflow creation and enactment capabilities and limitations in hardware capacity. Nonetheless, though generated in a non-optimum fashion, preliminary results of the honeybee analysis are presented. Lastly, suggestions for future work are summarized.
Keywords
biology computing; genetics; grid computing; Apis mellifera; MotifNetwork; genome-wide association analysis; grid-enabled workflows; honeybee; Bioinformatics; Biology computing; Concurrent computing; Databases; Genomics; Grid computing; High performance computing; Organisms; Proteins; Signal analysis; High throughput genomics; grid computing; parallel processing; workflow systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-1509-0
Type
conf
DOI
10.1109/BIBE.2007.4375662
Filename
4375662
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