@article {4264,
	title = {A tool for identification of genes expressed in patterns of interest using the Allen Brain Atlas.},
	journal = {Bioinformatics},
	volume = {25},
	year = {2009},
	month = {2009 Jul 1},
	pages = {1647-54},
	abstract = {<p>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.</p>
},
	keywords = {Animals, Brain, Computer Graphics, Gene Expression, Gene Expression Profiling, Genome, Mice, Oligonucleotide Array Sequence Analysis},
	issn = {1367-4811},
	doi = {10.1093/bioinformatics/btp288},
	author = {Davis, Fred P and Eddy, Sean R.}
}
