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Security-oriented data grids for microarray expression profiles.

Richard Sinnott1, Christopher Bayliss, Jipu Jiang

  • 1National e-Science Centre, University of Glasgow, United Kingdom. r.sinnott@nesc.gla.ac.uk

Studies in Health Technology and Informatics
|May 4, 2007
PubMed
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Researchers can now find and compare similar microarray experiments using a new secure data grid. This infrastructure facilitates data sharing while protecting sensitive gene expression data.

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Microarray experiments are crucial for understanding gene activity and biological processes.
  • Sharing microarray data is vital for scientific advancement but raises concerns about data exploitation and security.
  • Existing infrastructure lacks fine-grained security for inter-institutional data sharing.

Purpose of the Study:

  • To develop a secure data grid infrastructure for microarray experiment data.
  • To enable researchers to find and compare similar or relevant microarray experiments.
  • To address the need for fine-grained, user-friendly security in data sharing.

Main Methods:

  • Development of a Grid-enabled Microarray Expression Profile Search (GEMEPS) infrastructure.

Related Experiment Videos

  • Implementation of enhanced security measures for data access control.
  • Support for defining queries to identify and compare relevant microarray experiments.

    • Main Results:

    • A functional data grid infrastructure (GEMEPS) has been established.
    • The infrastructure supports secure querying and comparison of microarray experiment data.
    • Enhanced security facilitates controlled data sharing across virtual organizations.

    Conclusions:

    • The developed security-oriented data grid infrastructure addresses key challenges in microarray data sharing.
    • It enables researchers to leverage existing data while maintaining control over their findings.
    • This facilitates collaborative research and accelerates discoveries in life sciences.