Title : 
Integration of biological data resources using image object keying
         
        
            Author : 
Khan, N. ; Rahman, S. ; Stockman, A.G.
         
        
        
        
        
            Abstract : 
This paper presents a novel approach to integrate biological data from multiple resources into a single page using image object keying. In this interactive approach, a gel electrophoresis protein spot is selected by the user which initiates the retrieval of corresponding 3D structure of the protein. It provides a set of operators to access and to collect elements content of the biological data resources for integration. The approach utilises a number of tools, namely, meta data extractor, mapping linker, dispatcher and result integrator for unifying the data collected from multiple data sources.
         
        
            Keywords : 
bioelectric phenomena; biological effects of fields; biological techniques; biology computing; biomolecular effects of radiation; electrophoresis; image retrieval; information resources; meta data; proteins; biological data resources; gel electrophoresis protein spot; image object keying; integration; mapping linker, dispatcher; meta data extractor; multiple data sources; three dimensional structure; Biology computing; Data mining; Electrokinetics; HTML; Image databases; Image retrieval; Information retrieval; Proteins; Resource description framework; Spatial databases;
         
        
        
        
            Conference_Titel : 
Computer-Based Medical Systems, 2003. Proceedings. 16th IEEE Symposium
         
        
            Conference_Location : 
New York, NY, USA
         
        
        
            Print_ISBN : 
0-7695-1901-6
         
        
        
            DOI : 
10.1109/CBMS.2003.1212760