Web Services and Workflow Management for Biological Resources
Author Information
Author(s): Romano Paolo, Marra Domenico, Milanesi Luciano
Primary Institution: National Cancer Research Institute (IST)
Hypothesis
There is a need for a system that can automate access to remote sites and understand the information it manages to link data properly.
Conclusion
The study presents a general architecture for a system that can remotely execute biomedical workflows, improving automation in in-silico analysis.
Supporting Evidence
- The architecture allows access to the IARC TP53 Mutation Database and CABRI catalogues.
- Workflows for data retrieval from these services have been created and are available online.
Takeaway
Scientists need a better way to access and use biological data, and this study shows how to create systems that can help them do that automatically.
Methodology
The study designed a system architecture for managing and executing biomedical workflows using open-source tools like Taverna Workbench.
Limitations
The system's effectiveness depends on the availability of comprehensive biomedical databases and workflows.
Digital Object Identifier (DOI)
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