OpenFlyData: an exemplar data web integrating gene expression data on the fruit fly Drosophila melanogaster

Area of Science:

• Bioinformatics
• Genomics
• Data Integration

Background:

• Integrating heterogeneous, distributed data is crucial for in silico bioinformatics and translational research.
• Genome-scale gene expression data from Drosophila melanogaster is vital for functional genomic studies.
• Existing data integration solutions are often resource-intensive, necessitating lighter-weight alternatives.

Purpose of the Study:

• To develop and demonstrate a proof-of-concept system, OpenFlyData, for integrating Drosophila melanogaster gene expression data.
• To leverage Semantic Web standards and Web 2.0 design patterns for efficient data integration.
• To provide researchers with intuitive access to and comparison of gene expression data for study design and validation.

Main Methods:

• Developed OpenFlyData, combining Semantic Web standards with Web 2.0 programming.
• Created user-facing search applications for accessing and comparing gene expression data from FlyAtlas, BDGP, and FlyTED.
• Implemented semi-automated methods for generating ontologies, relational-to-RDF mappings, and gene identifier mapping.

Main Results:

• OpenFlyData successfully integrates gene expression data from multiple Drosophila melanogaster sources.
• User-facing applications and openly accessible SPARQL services are available for researchers and developers.
• SPARQL implementations showed sufficient performance but highlighted vulnerabilities in open endpoints requiring mitigation.

Conclusions:

• Semantic Web standards offer advantages for biomedical data integration, despite open issues like endpoint security.
• OpenFlyData demonstrates the feasibility of light-weight, Web-based data integration infrastructure for translational bioinformatics.
• The developed tools and services are available for reuse, promoting collaborative research and development.