The allen brain atlas: delivering neuroscience to the web on a genome wide scale

Authors:
Chinh Dang;Andrew Sodt;Chris Lau;Brian Youngstrom;Lydia Ng;Leonard Kuan;Sayan Pathak;Allan Jones;Mike Hawrylycz
Affiliations:
The Allen Institute for Brain Science, Seattle, WA;The Allen Institute for Brain Science, Seattle, WA;The Allen Institute for Brain Science, Seattle, WA;The Allen Institute for Brain Science, Seattle, WA;The Allen Institute for Brain Science, Seattle, WA;The Allen Institute for Brain Science, Seattle, WA;The Allen Institute for Brain Science, Seattle, WA;The Allen Institute for Brain Science, Seattle, WA;The Allen Institute for Brain Science, Seattle, WA
Venue:
DILS'07 Proceedings of the 4th international conference on Data integration in the life sciences
Year:
2007

Citing 2
Cited 0

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IEEE Computer Graphics and Applications
Neuroinformatics for Genome-Wide 3-D Gene Expression Mapping in the Mouse Brain

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

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Abstract

The Allen Brain Atlas (ABA), publicly available at http:// www.brain-map.org, presents the expression patterns of more than 21,500 genes in the adult mouse brain. The project has produced more than 600 Terabytes of cellular level in situ hybridization data whose images have been reconstructed and mapped into whole brain 3D volumes for search and viewing. In this application paper we outline the bioinformatics, data integration, and presentation approach to the ABA and the creation a fully automated high-throughput pipeline to deliver this data set to the Web.