Model-driven User Interfaces for Bioinformatics Data Resources
Author Information
Author(s): Kevin Garwood, Christopher Garwood, Cornelia Hedeler, Tony Griffiths, Neil Swainston, Stephen G Oliver, Norman W Paton
Primary Institution: University of Manchester
Hypothesis
Can a model-driven approach reduce the time spent on developing user interfaces for bioinformatics data repositories?
Conclusion
The Pierre model-driven architecture effectively generates user interfaces for bioinformatics data repositories, improving development efficiency.
Supporting Evidence
- The Pierre system was validated through its application to various bioinformatics use cases.
- It supports multiple types of user interfaces including web, stand-alone applications, text-menu, and command line.
- The approach reduces the time spent on repetitive aspects of user interface development.
Takeaway
This study shows that using a special method called model-driven architecture can help scientists create easier ways to access and use bioinformatics data without spending too much time on repetitive tasks.
Methodology
The study developed a system called Pierre that generates user interfaces based on models describing data access patterns.
Limitations
The approach may not be suitable for all types of bioinformatics applications and relies on existing data management systems.
Digital Object Identifier (DOI)
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