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Bioinformatics. 2009 Jul 1;25(13):1647-54. doi: 10.1093/bioinformatics/btp288
A tool for identification of genes expressed in patterns of interest using the Allen Brain Atlas. Eddy/Rivas Lab
Davis FP, Eddy SR
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Abstract
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.
PMID: 19414530 [PubMed - indexed for MEDLINE]
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