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Related Experiment Videos

yMGV: a cross-species expression data mining tool.

Gaëlle Lelandais1, Stéphane Le Crom, Frédéric Devaux

  • 1Laboratoire de Génétique Moléculaire, CNRS UMR8541, Ecole Normale Supérieure, Paris, France.

Nucleic Acids Research
|December 19, 2003
PubMed
Summary

The yeast Microarray Global Viewer (yMGV) database now enables cross-species transcriptome comparisons. This tool helps researchers analyze gene expression data for both Saccharomyces cerevisiae and Schizosaccharomyces pombe.

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Area of Science:

  • * Molecular Biology
  • * Bioinformatics
  • * Genomics

Background:

  • * The yeast Microarray Global Viewer (yMGV) is a database containing Saccharomyces cerevisiae and Schizosaccharomyces pombe microarray data from 82 publications.
  • * It provides data mining tools and a web interface for analyzing gene expression under various conditions.
  • * Existing tools facilitate gene expression analysis within individual yeast species.

Purpose of the Study:

  • * To introduce new features for inter-organismal transcriptome comparisons within yMGV.
  • * To enable the fission yeast community to leverage budding yeast transcriptome data.
  • * To present ongoing developments and new tools for yeast gene expression analysis.

Main Methods:

  • * Integration of data mining tools with a user-friendly web interface.

Related Experiment Videos

  • * Development of novel tools for comparative analysis of microarray data between Saccharomyces cerevisiae and Schizosaccharomyces pombe.
  • * Curated collection of published microarray datasets.

    • Main Results:

    • * Introduction of inter-organism comparison tools in yMGV.
    • * Facilitation of gene expression analysis across different yeast species.
    • * Enhanced accessibility to a comprehensive collection of yeast transcriptome data.

    Conclusions:

    • * yMGV now supports comparative transcriptomics, bridging data analysis between budding and fission yeasts.
    • * The new features empower researchers to explore conserved and divergent gene expression patterns.
    • * Ongoing development promises further advancements in yeast genomics data exploration.