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Front Physiol. 2010 Dec 3;1:147. doi: 10.3389/fphys.2010.00147. eCollection 2010.

Current trends and new challenges of databases and web applications for systems driven biological research.

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Systems Biology Research Center and College of Life Science, Gwangju Institute of Science and Technology Gwangju, Republic of Korea.


Dynamic and rapidly evolving nature of systems driven research imposes special requirements on the technology, approach, design and architecture of computational infrastructure including database and Web application. Several solutions have been proposed to meet the expectations and novel methods have been developed to address the persisting problems of data integration. It is important for researchers to understand different technologies and approaches. Having familiarized with the pros and cons of the existing technologies, researchers can exploit its capabilities to the maximum potential for integrating data. In this review we discuss the architecture, design and key technologies underlying some of the prominent databases and Web applications. We will mention their roles in integration of biological data and investigate some of the emerging design concepts and computational technologies that are likely to have a key role in the future of systems driven biomedical research.


data integration; data warehouse; federated database; grid computing; ontology; semantic web; web service; web2.0

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