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EMAAS: an extensible grid-based rich internet application for microarray data analysis and management.

G Barton1, J Abbott, N Chiba

  • 1Division of Molecular Biosciences, Faculty of Natural Sciences, Centre for Bioinformatics, Imperial College, London, UK. g.barton@imperial.ac.uk

BMC Bioinformatics
|November 27, 2008
PubMed
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This summary is machine-generated.

The Extensible MicroArray Analysis System (EMAAS) simplifies complex microarray data analysis and management. This web-based system offers integrated tools and distributed computing for robust, real-time user support and training.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray data analysis is complex, requiring advanced computational skills and up-to-date knowledge of numerous tools.
  • Managing large datasets from microarray experiments presents significant challenges for laboratory scientists.
  • The proliferation of analysis techniques necessitates efficient support systems for researchers.

Purpose of the Study:

  • To develop a distributed e-support system for streamlined microarray data analysis and management.
  • To provide laboratory scientists with accessible, up-to-date resources for handling complex microarray data.
  • To integrate various computational tools and data repositories into a unified platform.

Main Methods:

  • Developed EMAAS (Extensible MicroArray Analysis System), a multi-user Rich Internet Application (RIA).

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  • Leveraged distributed computing for scalable microarray data processing.
  • Integrated R-Bioconductor, Affymetrix Power Tools, DAVID, GeneCards, GEO, CELSIUS, and MiMiR via a web portal.

    • Main Results:

    • EMAAS provides a single, user-friendly web portal for importing, pre-processing, quality assessment, and analysis of microarray data.
    • The system offers integrated real-time user support, including video tutorials and live screen sharing.
    • Supports analysis of Affymetrix 3' and Exon expression arrays, with extensibility for other platforms.

    Conclusions:

    • EMAAS facilitates efficient tracking and execution of microarray data management and analysis tasks.
    • The flexible and scalable architecture allows for easy integration of new array types, algorithms, and tools.
    • The system is designed to accommodate substantial increases in data volume, ensuring long-term utility.