Integration of biological data resources using image object keying

  • Authors:
  • Nawaz Khan;Shahedur Rahman;A. G. Stockman

  • Affiliations:
  • School of Computing Science, Middlesex University, UK;School of Computing Science, Middlesex University, UK;Queen Mary College, University of London, UK

  • Venue:
  • CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
  • Year:
  • 2003

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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.