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Related Experiment Video

Updated: Apr 28, 2026

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Allen Brain Atlas-Driven Visualizations: a web-based gene expression energy visualization tool.

Andrew Zaldivar1, Jeffrey L Krichmar2

  • 1Department of Cognitive Sciences, University of California, Irvine Irvine, CA, USA.

Frontiers in Neuroinformatics
|June 7, 2014
PubMed
Summary
This summary is machine-generated.

The Allen Brain Atlas-Driven Visualizations (ABADV) tool offers researchers easy access to gene expression data. It visualizes expression energy across multiple genes and brain structures, aiding comparative analysis.

Keywords:
Allen Brain Atlasdata visualizationdata-driven documentsgene expressionneuroinformatics

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Area of Science:

  • Neuroscience
  • Bioinformatics
  • Computational Biology

Background:

  • The Allen Brain Atlas (ABA) provides extensive gene expression and neuroanatomical data.
  • Existing ABA tools have limitations in visualizing multiple genes and brain structures simultaneously.

Purpose of the Study:

  • To develop a web-based tool, Allen Brain Atlas-Driven Visualizations (ABADV), for enhanced data retrieval and visualization.
  • To facilitate the comparison of gene expression across diverse brain regions.

Main Methods:

  • ABADV generates visualizations like pie charts, bar charts, and heat maps.
  • The tool processes expression energy values for user-selected genes and brain structures.
  • It links visualizations back to the ABA for detailed experimental context.

Main Results:

  • ABADV enables the visualization of expression energy data from the Allen Mouse Brain Atlas.
  • The tool supports modern web browsers and in situ hybridization data.
  • Researchers can survey large amounts of ABA data for meta-analysis.

Conclusions:

  • ABADV complements existing ABA resources by offering flexible visualization options.
  • The tool simplifies the comparison of gene expression patterns across the brain.
  • Future development aims to extend ABADV compatibility to multiple data resources.