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Expression Profiler: next generation--an online platform for analysis of microarray data.

Misha Kapushesky1, Patrick Kemmeren, Aedín C Culhane

  • 1European Bioinformatics Institute, United Kingdom.

Nucleic Acids Research
|June 25, 2004
PubMed
Summary
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Expression Profiler: next generation (EP:NG) is a modular web platform for analyzing gene expression data. This open-source tool enhances collaborative research by integrating various bioinformatics components and supporting secure data sharing.

Area of Science:

  • Bioinformatics
  • Functional Genomics
  • Computational Biology

Background:

  • Microarray gene expression analysis requires sophisticated computational tools.
  • Existing platforms may lack modularity and collaborative features.
  • The European Bioinformatics Institute (EBI) hosts valuable genomics data and analysis resources.

Purpose of the Study:

  • To introduce Expression Profiler: next generation (EP:NG), a revamped web-based platform for gene expression and functional genomics data analysis.
  • To enhance modularity and facilitate collaborative development of analysis components.
  • To provide a seamless user interface for diverse analytical tasks.

Main Methods:

  • Modular architecture design for independent component development.

Related Experiment Videos

  • Integration of data analysis components for preprocessing, imputation, filtering, clustering, visualization, and statistical analysis.
  • Web-based platform supporting secure data sharing and collaborative analysis.

    • Main Results:

    • EP:NG offers a modular and extensible framework for gene expression data analysis.
    • The platform integrates various statistical and analytical tools, including those for missing value imputation and significant gene finding.
    • EP:NG serves as an exploratory analytical front-end for the ArrayExpress database.

    Conclusions:

    • EP:NG provides a flexible, collaborative, and secure environment for functional genomics research.
    • The open-source nature of EP:NG encourages community contributions and further development.
    • This platform advances the analysis of microarray gene expression data through integrated and modular components.