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Integrating Clinical and Genomic Information Through the PrognoChip Mediator

  • Anastasia Analyti
  • Haridimos Kondylakis
  • Dimitris Manakanatas
  • Manos Kalaitzakis
  • Dimitris Plexousakis
  • George Potamias
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4345)

Abstract

The ultimate goal of the biomedical informatics project PrognoChip is the identification of classification and prognosis molecular markers for breast cancer. This requires not only an understanding of the genetic basis of the disease, based on the patient’s tumor gene expression profiles but also the correlation of this data with knowledge normally processed in the clinical setting. In this paper, we present the Mediator component of the PrognoChip Integrated Clinico-Genomics Environment (ICGE), through which the integration of the clinical and genomic information subsystems is achieved. The biomedical investigator can form clinico-genomic queries through the web-based graphical user interface of the Mediator. This is split into several query forms, allowing cancerous sample selection (along with their associated gene expression profiles and patient characteristics), based on criteria of interest. After a query is formed, the Mediator translates it into an equivalent set of local subqueries, which are executed directly against the constituent databases. Then, results are combined for presentation to the user and/or transmission to the Data Mining tools for analysis.

Keywords

Gene Ontology Clinical Information System Query Form Data Mining Tool Biomedical Informatics 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Anastasia Analyti
    • 1
  • Haridimos Kondylakis
    • 1
  • Dimitris Manakanatas
    • 1
  • Manos Kalaitzakis
    • 1
  • Dimitris Plexousakis
    • 1
  • George Potamias
    • 2
  1. 1.Information Systems LabInstitute of Computer Science, FORTH-ICSGreece
  2. 2.Biomedical Informatics LabInstitute of Computer Science, FORTH-ICSGreece

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