Information integration in molecular bioscience

Garcia Castro, A., Chen, Yi-Ping Phoebe and Ragan, M.A. 2005, Information integration in molecular bioscience, Applied bioinformatics, vol. 4, no. 3, pp. 157-173.

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Title Information integration in molecular bioscience
Author(s) Garcia Castro, A.
Chen, Yi-Ping Phoebe
Ragan, M.A.
Journal name Applied bioinformatics
Volume number 4
Issue number 3
Start page 157
End page 173
Publisher Adis International
Place of publication Auckland, N.Z.
Publication date 2005
ISSN 1175-5636
Summary Integrating information in the molecular biosciences involves more than the cross-referencing of sequences or structures. Experimental protocols, results of computational analyses, annotations and links to relevant literature form integral parts of this information, and impart meaning to sequence or structure. In this review, we examine some existing approaches to integrating information in the molecular biosciences. We consider not only technical issues concerning the integration of heterogeneous data sources and the corresponding semantic implications, but also the integration of analytical results. Within the broad range of strategies for integration of data and information, we distinguish between platforms and developments. We discuss two current platforms and six current developments, and identify what we believe to be their strengths and limitations. We identify key unsolved problems in integrating information in the molecular biosciences, and discuss possible strategies for addressing them including semantic integration using ontologies, XML as a data model, and graphical user interfaces as integrative environments.

Language eng
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30008935

Document type: Journal Article
Collection: School of Information Technology
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