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Adapters, shims, and glue--service interoperability for in silico experiments.
U Radetzki1, U Leser, S C Schulze-Rauschenbach
1Department of Computer Science, University of Bonn D-53117 Bonn, Germany. ur@iai.uni-bonn.de
Bioinformatics (Oxford, England)
|February 17, 2006
Summary
This study introduces a semi-automatic method to improve bioinformatics workflow composition. It identifies and integrates necessary adapters, enhancing service interoperability for in silico experiments.
Area of Science:
- Bioinformatics
- Computational Biology
- Life Sciences
Background:
- In silico experiments in biology rely on complex workflows involving people, data, and methods.
- Grid and Web services offer next-generation infrastructure for bioinformatics workflows.
- Service composition faces challenges due to autonomous, heterogeneous services, impacting interoperability.
Purpose of the Study:
- To address service interoperability challenges in bioinformatics workflow composition.
- To semi-automatically identify and integrate customizable adapters into workflows.
- To enhance the efficiency and robustness of in silico experiment execution.
Main Methods:
- Developed a semi-automatic procedure for service composition within the IRIS project.
- Focused on identifying and placing customizable adapters to ensure service interoperability.
- Utilized a case study in life sciences for validation.
Main Results:
- Demonstrated the effectiveness and robustness of the software-aided composition procedure.
- Successfully combined diverse database and analysis services.
- Achieved high precision and recall in identifying relevant adapters.
Conclusions:
- The proposed method significantly improves the composition of bioinformatics workflows.
- Software-aided adapter identification enhances service interoperability for in silico experiments.
- The approach is effective and robust, validated by a life science case study.