By Topic

MotifNetwork: Genome-Wide Domain Analysis using Grid-enabled Workflows

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Jeffrey L. Tilson ; Renaissance Computing Institute, Chapel Hill, U.S.A. ; Alan Blatecky ; Gloria Rendon ; Mao-Feng Ger
more authors

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.

Published in:

2007 IEEE 7th International Symposium on BioInformatics and BioEngineering

Date of Conference:

14-17 Oct. 2007