Journal
NUCLEIC ACIDS RESEARCH
Volume 39, Issue -, Pages D1011-D1015Publisher
OXFORD UNIV PRESS
DOI: 10.1093/nar/gkq1259
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Funding
- National Institutes of Health [GM083084, RR021967, UL1RR025005, T32GM074906]
- National Cancer Institute [CA132480]
- [R01GM083084]
- NATIONAL CANCER INSTITUTE [F32CA132480] Funding Source: NIH RePORTER
- NATIONAL CENTER FOR RESEARCH RESOURCES [R01RR021967, UL1RR025005] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM083084, T32GM074906] Funding Source: NIH RePORTER
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Various databases have harnessed the wealth of publicly available microarray data to address biological questions ranging from across-tissue differential expression to homologous gene expression. Despite their practical value, these databases rely on relative measures of expression and are unable to address the most fundamental question-which genes are expressed in a given cell type. The Gene Expression Barcode is the first database to provide reliable absolute measures of expression for most annotated genes for 131 human and 89 mouse tissue types, including diseased tissue. This is made possible by a novel algorithm that leverages information from the GEO and ArrayExpress public repositories to build statistical models that permit converting data from a single microarray into expressed/unexpressed calls for each gene. For selected platforms, users may upload data and obtain results in a matter of seconds. The raw data, curated annotation, and code used to create our resource are also available at http://rafalab.jhsph.edu/barcode.
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