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Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

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Using web services for linking genomic data to medical information systems.

V Maojo¹, J Crespo, G de la Calle

¹Biomedical Informatics Group, Artificial Intelligence Lab, Universidad Politécnica de Madrid, Boadilla del Monte, 28660 Madrid, Spain. vmaojo@fi.upm.es

Methods of Information in Medicine

|August 19, 2007

Summary

Biomedical informatics (BMI) advances genomic medicine by integrating clinical and omics data using Web services. This enables collaborative research and personalized treatments through improved data access and analysis.

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Area of Science:

Biomedical Informatics
Genomic Medicine
Computational Biology

Background:

Genomic medicine requires integrating diverse clinical and genomic data.
Existing biomedical information systems need adaptation for the genomic era.
Clinicomics presents a new paradigm for data analysis and interpretation.

Purpose of the Study:

To propose a novel perspective for biomedical information systems in the context of genomic medicine.
To explore the application of Web services technologies for data integration.
To demonstrate the utility of these approaches through projects like OntoFusion.

Main Methods:

Utilizing Web services technologies for data integration and access.
Mapping clinical and genetic concepts for semantic interoperability.
Developing integrated biomedical ontologies.
Implementing customized workflows linking heterogeneous Web services.

Main Results:

Web services offer novel biomedical informatics (BMI) approaches for genomic medicine.
Integrated workflows facilitate research by connecting diverse information sources.
Projects like INFOBIOMED and ACGT exemplify these advancements.

Conclusions:

Facilitating data exchange between medical researchers and biologists is crucial for advancing genomic medicine.
BMI provides essential informatics methods and infrastructure for collaborative research.
Technological solutions are key to realizing the potential of genomic medicine.