Provides software and data about the genes expressed for every tissue and cell type in humans and mice. The Gene Expression Barcode uses publicly available microarray data sets combined with a suite of single-array preprocessing, quality control and analysis methods to perform analysis. Data have been used to compliment epigenetic studies, improve ChIP-seq and ChIP-chip data analysis and investigate increased heterogeneity in cancer.
Department of Biostatistics and Computational Biology, University of Rochester Medical Center, Chinahester, NY, USA; Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA; Informatics and Systems Development, Loyola University Stritch School of Medicine, Maywood, IL, USA; Nutrition, Metabolism and Genomics Group, Division of Human Nutrition, Wageningen University, Netherlands; Center for Biomedical Informatics, Department of Pharmacology and Molecular Therapeutics, Loyola University Stritch School of Medicine, Maywood, IL, USA
Gene Expression Barcode funding source(s)
Supported by National Institutes of Health [CA132480, CA009363, GM083084 and GM103552; and 1G20RR030939]; and Loyola Institutional funds.