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XML-based approaches for the integration of heterogeneous bio-molecular data
Marco Mesiti1, Ernesto Jiménez-Ruiz, Ismael Sanz
1Università degli Studi di Milano, Via Comelico 39, Milan, Italy. mesiti@dico.unimi.it
BMC Bioinformatics
|October 16, 2009
Summary
Extensible Markup Language (XML) facilitates the integration of diverse biological data, but numerous formats hinder seamless bioinformatics data management. Standardized, semantic-rich formats are crucial for effective integration of biological resources.
Area of Science:
- Bioinformatics
- Computational Biology
- Biomedical Research
Background:
- Vast heterogeneous biological data requires sophisticated integration and computational processing.
- Current public database infrastructure presents challenges in managing diverse molecular biology and biomedical information.
Purpose of the Study:
- To survey novel approaches for representing, integrating, and managing heterogeneous biological data using Extensible Markup Language (XML).
- To present cutting-edge methods for managing XML-represented biological data.
Main Methods:
- Exploitation of XML and related recommendations for data representation and integration.
- Review of novel approaches in biological data management.
Main Results:
- XML has proven effective as a syntactic standard for integrating heterogeneous biomolecular information.
- A wide array of XML-based formats complicates the effective integration of bioinformatics data schemes.
Conclusions:
- While XML serves as a foundational tool for biological data integration, format diversity poses challenges.
- Urgent adoption of standardized, semantic-rich formats is necessary for seamless integration of biological resources.