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A dynamic, web-accessible resource to process raw microarray scan data into consolidated gene expression values:

Nolwenn Le Meur1, Guillaume Lamirault, Audrey Bihouée

  • 1Ouest genopole, Institut du Thorax, Institut National de la Santé et de la Recherche Médicale (UMR 533), Faculté de Médecine, 44035 Nantes, France. nolwenn.lemeur@nantes.inserm.fr

Nucleic Acids Research
|October 12, 2004
PubMed
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We developed MADSCAN, a free web tool for processing raw microarray data into gene expression values. This pipeline automates filtering, normalization, and scaling, ensuring reliable detection of subtle gene expression changes.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Microarray technology is crucial for gene expression analysis.
  • Processing raw microarray data involves complex steps like filtering, normalization, and scaling.
  • Numerous methods exist, making tool selection challenging for researchers.

Purpose of the Study:

  • To introduce MADSCAN, a freely accessible web-based pipeline for processing raw microarray scan data.
  • To provide a practical and automated solution for filtering, normalizing, and scaling gene expression data.
  • To enable reliable detection of subtle gene expression changes through integrated data processing.

Main Methods:

  • Development of a web-based pipeline named MADSCAN (MicroArray Data Suites of Computed ANalysis).

Related Experiment Videos

  • Adaptation of various statistical methods for analyzing replicate gene spots and microarrays.
  • Implementation of dynamic and automatic procedures for data filtering, normalization, and scaling.
  • Inclusion of quality control measures with proposed threshold values.

    • Main Results:

    • MADSCAN processes raw microarray data to yield experimentally consolidated gene expression values.
    • The pipeline offers a practical choice among numerous data processing methods.
    • Statistical methods are employed to extract reliable information from replicate measurements.
    • Outlying and statistically significant expression values are identified.

    Conclusions:

    • MADSCAN provides a reliable and integrated approach for monitoring gene expression changes.
    • The tool's automated and dynamic processing enhances the efficiency of microarray data analysis.
    • Freely accessible web-based pipelines like MADSCAN are valuable resources for biological research.