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Related Experiment Video

Updated: May 19, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Web-based digital gene expression atlases for the mouse.

Lars Geffers1, Bernhard Herrmann, Gregor Eichele

  • 1Department of Genes and Behavior, Max Planck Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany. lars.geffers@mpibpc.mpg.de

Mammalian Genome : Official Journal of the International Mammalian Genome Society
|September 1, 2012
PubMed
Summary
This summary is machine-generated.

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Explore seven gene expression databases for comprehensive mouse brain and embryo transcriptome data. These resources offer detailed insights into gene expression patterns, aiding developmental biology and neuroscience research.

Area of Science:

  • Developmental Biology
  • Neuroscience
  • Bioinformatics

Background:

  • Publicly available mouse gene expression data from in situ hybridization has significantly advanced in scope and resolution over 15 years.
  • The post-genomic era enables comprehensive studies of full transcriptomes in mouse brain and embryo.
  • Numerous databases now provide access to extensive mouse gene expression datasets.

Purpose of the Study:

  • To introduce and review seven current databases for mouse gene expression data.
  • To provide a user-oriented summary of how to interrogate these databases.
  • To assess the experimental focus, coverage, data quality, and annotation of each resource.

Main Methods:

  • Review of seven prominent mouse gene expression databases: MAMEP, EMBRYS, GenePaint, EURExpress, EuReGene, BGEM, and GENSAT.

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  • Evaluation of database features including experimental focus, data coverage, assessment, and annotation.
  • Analysis of integrated analytic tools and links to external databases.
  • Main Results:

    • Seven key databases (MAMEP, EMBRYS, GenePaint, EURExpress, EuReGene, BGEM, GENSAT) offer access to large collections of mouse gene expression data.
    • Each database presents unique strengths in experimental focus, data coverage, and annotation quality.
    • Databases incorporate analytic tools and interconnections to related resources for enhanced data exploration.

    Conclusions:

    • These seven databases represent valuable resources for researchers studying mouse gene expression.
    • Understanding the specific features of each database is crucial for effective data interrogation.
    • The reviewed resources facilitate in-depth analysis of mouse brain and embryo transcriptomes.