title: Allen Brain Atlas-Driven Visualizations: a web-based gene expression energy visualization tool.
abstract: The Allen Brain Atlas-Driven Visualizations (ABADV) is a publicly accessible web-based tool created to retrieve and visualize expression energy data from the Allen Brain Atlas (ABA) across multiple genes and brain structures. Though the ABA offers their own search engine and software for researchers to view their growing collection of online public data sets, including extensive gene expression and neuroanatomical data from human and mouse brain, many of their tools limit the amount of genes and brain structures researchers can view at once. To complement their work, ABADV generates multiple pie charts, bar charts and heat maps of expression energy values for any given set of genes and brain structures. Such a suite of free and easy-to-understand visualizations allows for easy comparison of gene expression across multiple brain areas. In addition, each visualization links back to the ABA so researchers may view a summary of the experimental detail. ABADV is currently supported on modern web browsers and is compatible with expression energy data from the Allen Mouse Brain Atlas in situ hybridization data. By creating this web application, researchers can immediately obtain and survey numerous amounts of expression energy data from the ABA, which they can then use to supplement their work or perform meta-analysis. In the future, we hope to enable ABADV across multiple data resources.
authors.affiliation: Department of Cognitive Sciences, University of California, Irvine Irvine, CA, USA.
authors.forename: Andrew
authors.initials: A
authors.lastname: Zaldivar
authors.affiliation: Department of Cognitive Sciences, University of California, Irvine Irvine, CA, USA ; Department of Computer Science, University of California, Irvine Irvine, CA, USA.
authors.forename: Jeffrey L
authors.initials: JL
authors.lastname: Krichmar
keywords: Allen Brain Atlas; data visualization; data-driven documents; gene expression; neuroinformatics