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An application of a service-oriented system to support array annotation in custom chip design for epigenomic analysis
Junghee Han1, Dustin Potter, Tahsin Kurc
1Department of Biomedical Informatics and Department of Molecular Virology, Immunology, and Medical Genetics, The Ohio State University, Columbus, OH 43210, USA.
Cancer Informatics
|March 5, 2009
Summary
This study implements a caGrid application for designing and analyzing cancer epigenetics microarray experiments. The service-oriented approach enhances flexibility and integration of diverse data sources for research.
Area of Science:
- Bioinformatics
- Cancer Research
- Genomics
Background:
- Designing custom microarray experiments for cancer epigenetics requires integrating diverse data types and datasets.
- Existing infrastructure may lack flexibility for dynamic data integration and analysis.
Purpose of the Study:
- To implement a caGrid-based application supporting the design and analysis of custom microarray experiments for cancer epigenetics research.
- To leverage a service-oriented architecture for flexible integration of data and analytical resources.
Main Methods:
- Utilized caGrid, the service-oriented Grid software infrastructure of the NCI cancer Biomedical Informatics Grid (caBIG).
- Implemented data sources as caGrid Data Services.
- Wrapped analytical resources as caGrid Analytical Services.
Main Results:
- The service-based implementation allows backend resources to be modified or upgraded independently.
- Remote resources can be easily added without centralizing infrastructure.
- Facilitates the synthesis of information from multiple data types and datasets for complex analyses.
Conclusions:
- The caGrid application provides a flexible and scalable platform for cancer epigenetics research using microarray data.
- Service-oriented architecture enhances the adaptability and extensibility of bioinformatics applications.
- This approach supports custom experimental design and analysis by integrating distributed resources effectively.
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