Grange, P., Bohland, J. W., Hawrylycz, M., Mitra, P. P. (November 2012) Brain Gene Expression Analysis: a MATLAB toolbox for the analysis of brain-wide gene-expression data. arXiv. (Unpublished)
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Abstract
The Allen Brain Atlas project (ABA) generated a genome-scale collection of gene-expression profiles using in-situ hybridization. These profiles were co-registered to the three-dimensional Allen Reference Atlas (ARA) of the adult mouse brain. A set of more than 4,000 such volumetric data are available for the full brain, at a resolution of 200 microns. These data are presented in a voxel-by-gene matrix. The ARA comes with several systems of annotation, hierarchical (40 cortical regions, 209 sub-cortical regions in the whole brain), or non-hierarchical (12 regions in the left hemisphere, with refinement into 94 regions, and cortical layers). The high-dimensional nature of this unique dataset and the possible connection between anatomy and gene expression pose challenges to data analysis. We developed the Brain Gene Expression Analysis Toolbox (downloadable at: www.brainarchitecture.org). The key functionalities include: determination of marker genes for brain regions, statistical analysis of brain-wide co-expression patterns, and the computation of brain-wide correlation maps with cell-type specific microarray data. The auxiliary dataset consisting of cell-type-specific transcriptomes (chapter 4) will be made available in the second version of the toolbox.
| Item Type: | Paper |
|---|---|
| Subjects: | bioinformatics > genomics and proteomics > analysis and processing bioinformatics bioinformatics > quantitative biology organs, tissues, organelles, cell types and functions > organs types and functions > brain bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > genes, structure and function > gene expression |
| CSHL Authors: | |
| Communities: | CSHL labs > Mitra lab |
| Depositing User: | Matt Covey |
| Date: | 27 November 2012 |
| Date Deposited: | 05 Aug 2014 19:08 |
| Last Modified: | 03 Feb 2017 15:34 |
| URI: | https://repository.cshl.edu/id/eprint/30668 |
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