A tool for identification of genes expressed in patterns of interest using the Allen Brain Atlas | Zendy

Fred P. Davis | Zendy; Sean R. Eddy | Zendy

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A tool for identification of genes expressed in patterns of interest using the Allen Brain Atlas

Author(s) -

Fred P. Davis,

Sean R. Eddy

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp288

Subject(s) - brain atlas , neocortex , computational biology , gene , atlas (anatomy) , biology , identification (biology) , concordance , microarray , gene expression , in situ hybridization , computer science , neuroscience , genetics , anatomy , botany

Gene expression patterns can be useful in understanding the structural organization of the brain and the regulatory logic that governs its myriad cell types. A particularly rich source of spatial expression data is the Allen Brain Atlas (ABA), a comprehensive genome-wide in situ hybridization study of the adult mouse brain. Here, we present an open-source program, ALLENMINER, that searches the ABA for genes that are expressed, enriched, patterned or graded in a user-specified region of interest.

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