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Related Experiment Videos

The LCB Data Warehouse.

Adam Ameur1, Vladimir Yankovski, Stefan Enroth

  • 1The Linnaeus Centre for Bioinformatics, Uppsala University, Sweden.

Bioinformatics (Oxford, England)
|February 4, 2006
PubMed
Summary
This summary is machine-generated.

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The Linnaeus Centre for Bioinformatics Data Warehouse (LCB-DWH) offers secure microarray data management and analysis. This web-based system supports storage, analysis, and publication, integrating R/Bioconductor tools and Gene Ontology for researchers.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Microarray gene expression data requires robust management and analysis infrastructure.
  • Existing systems may lack integrated analysis tools or secure storage.
  • The scientific community needs accessible platforms for handling complex biological data.

Purpose of the Study:

  • To introduce the Linnaeus Centre for Bioinformatics Data Warehouse (LCB-DWH) as a comprehensive solution.
  • To provide a secure, web-based platform for microarray data lifecycle management.
  • To facilitate data analysis and publication for researchers.

Main Methods:

  • Development of a web-based infrastructure integrating data storage (BASE system), analysis, and publication.
  • Incorporation of R/Bioconductor methods for advanced data analysis.

Related Experiment Videos

  • Integration with the Gene Ontology database for functional annotation.
  • Implementation of a scripting facility for reproducible analysis.

    • Main Results:

    • The LCB-DWH provides reliable and secure microarray gene expression data management.
    • The system offers integrated access to analysis tools and Gene Ontology.
    • A scripting facility ensures automatic recording and replay of analysis steps.
    • The service is operational on a high-performance server with over 150 registered users.

    Conclusions:

    • The LCB-DWH represents a significant advancement in microarray data handling.
    • The platform enhances the ability of researchers to manage, analyze, and publish gene expression data.
    • The system's features promote reproducible and efficient scientific discovery.