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Enabling GeneHunter as a grid service: a case study for implementing analytical services for biomedical grids.
Sergey Krikov1, Ronald C Price, Kristina Allen-Brady
1Department of Biomedical Informatics, University of Utah, 26 South 2000 East Room 5775 HSEB, Salt Lake City, UT 84112, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|November 13, 2008
Summary
Grid computing offers biomedical researchers easier access to analytical services. This study demonstrates the effectiveness of caGrid tools in deploying a genetic linkage analysis service using GeneHunter, comparing favorably to existing methods.
Area of Science:
- Biomedical Informatics
- Computational Biology
- Grid Computing
Background:
- Biomedical researchers require efficient analytical services.
- Grid computing offers a promising infrastructure for service provisioning.
- Existing methodologies for genetic linkage analysis can be resource-intensive.
Purpose of the Study:
- To present experiences in creating a grid analytical service for biomedical research.
- To implement and deploy a service based on the GeneHunter genetic linkage analysis tool.
- To evaluate the effectiveness of caGrid tools for this purpose.
Main Methods:
- Development of a grid analytical service using GeneHunter.
- Deployment of the service utilizing caGrid project tools.
- Evaluation of the service's performance and usability.
Main Results:
- Successful implementation and deployment of the GeneHunter grid service.
- caGrid tools proved effective for creating the analytical service.
- The developed service demonstrated favorable comparison with existing methodologies.
Conclusions:
- caGrid tools are effective for provisioning biomedical analytical services.
- Grid computing enhances accessibility of tools like GeneHunter for researchers.
- This approach offers a viable alternative to traditional analytical methods.
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