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TAMEE: data management and analysis for tissue microarrays.

Gerhard G Thallinger1, Kerstin Baumgartner, Martin Pirklbauer

  • 1Institute for Genomics and Bioinformatics, Graz University of Technology, Petersgasse 14, 8010 Graz, Austria. Gerhard.Thallinger@tugraz.at <Gerhard.Thallinger@tugraz.at>

BMC Bioinformatics
|March 9, 2007
PubMed
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Tissue microarrays (TMAs) generate extensive data requiring robust management. TAMEE is a web-based system for managing TMA data, streamlining analysis, and ensuring experimental reproducibility.

Area of Science:

  • Biotechnology
  • Bioinformatics
  • Genomics

Background:

  • Tissue microarrays (TMAs) enable high-throughput gene and protein expression analysis in tissues.
  • TMAs generate large datasets necessitating advanced data management for reproducibility.
  • Efficient data analysis and management are crucial for reliable and timely experimental results.

Purpose of the Study:

  • To develop a comprehensive data management and analysis system for tissue microarrays.
  • To enhance the traceability and reproducibility of experiments utilizing TMAs.
  • To provide a scalable and secure platform for researchers to access and evaluate TMA data.

Main Methods:

  • Development of TAMEE (Tissue Array Management and Evaluation Environment), a web-based database application.

Related Experiment Videos

  • Implementation of structured classifications for database content consistency.
  • Automated tissue core location and extraction from images for evaluation.
  • Integration of predefined and custom analysis algorithms via a plug-in interface.

    • Main Results:

    • TAMEE facilitates storage of TMA production, experimental parameters, images, and evaluation results.
    • Structured data management ensures high-quality results for biological analyses.
    • Automated image analysis and a flexible query generator streamline downstream data evaluation.

    Conclusions:

    • An integrated system, TAMEE, has been developed to manage the complete workflow of high-density TMAs.
    • The system supports TMA production, experimental application, and subsequent analysis.
    • TAMEE is freely available for academic and non-profit use.