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MAnGO: an interactive R-based tool for two-colour microarray analysis.

Laetitia Marisa1, Jean-Laurent Ichanté, Nancie Reymond

  • 1Centre de Génétique Moléculaire, CNRS UPR2167 and Gif/Orsay DNA Microarray Platform, 91190 Gif-sur-Yvette, France.

Bioinformatics (Oxford, England)
|June 26, 2007
PubMed
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MAnGO is an R-based tool for analyzing two-colour microarray experiments. It offers data quality control, pre-processing, and differential analysis for biologists and bioinformaticians.

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Microarray technology is crucial for gene expression studies.
  • Analyzing two-colour microarray data presents specific challenges in quality control and normalization.

Purpose of the Study:

  • To introduce MAnGO, an R-based tool for comprehensive two-colour microarray analysis.
  • To provide a user-friendly yet flexible platform for both biologists and bioinformaticians.

Main Methods:

  • Development of an interactive R package.
  • Integration of visual tools for bias detection and data quality control.
  • Implementation of filtering, normalization, and differential analysis methods.

Main Results:

Related Experiment Videos

  • MAnGO facilitates robust quality assessment through diverse visualizations.
  • The tool enables effective data pre-processing, including normalization.
  • Differential expression analysis is readily performed within the MAnGO framework.

Conclusions:

  • MAnGO serves as a valuable, adaptable resource for two-colour microarray data analysis.
  • It enhances the efficiency and reliability of genomic data interpretation.
  • The tool supports a wide range of users from biologists to bioinformaticians.