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Gene Expression Barcode specifications


Unique identifier OMICS_04513
Name Gene Expression Barcode
Interface Web user interface
Restrictions to use None
Computer skills Basic
Version 3.0
Stability Stable
Maintained Yes


  • Primates
    • Homo sapiens
  • Rodents
    • Mus musculus

Publication for Gene Expression Barcode

Gene Expression Barcode in publications

PMCID: 5587678
PMID: 28878380
DOI: 10.1038/s41467-017-00555-y

[…] considered). we used recon2.v04 as the reference network and rpmi1640 culture medium. in addition, for each cell line, the sets of lowly expressed genes and reactions (l) were obtained following the gene expression barcode 3.0 algorithm using standard parameters and the gene–protein-reaction rules provided by recon2.v04 (see “methods” section)., under these conditions, our algorithm found […]

PMCID: 4931595
PMID: 27336838
DOI: 10.1038/ctg.2016.34

[…] tissue type, we attempted to further refine our eqtl analysis by determining the cell types most likely expressing the genes associated with ibd snps. to do this we took advantage of the (geb) gene expression barcode database, which provides reliable absolute measures of expression for most annotated genes for over 100 human tissue types, including diseased tissue. to determine cell types […]

PMCID: 4384356
PMID: 25627479
DOI: 10.1186/s12859-015-0455-x

[…] to ensembl gene ids using the bioconductor package biomart. endeavour was used in batch mode., 5. gene expression-based filtering. as an optional step we filter ranked candidates lists via the gene expression barcode 3.0 [], which dichotomizes gene expression data in expressed and unexpressed genes on a per sample basis. for this purpose we selected a microarray experiment with a setup […]

PMCID: 4168813
PMID: 25285097
DOI: 10.3389/fpls.2014.00491

[…] used to create the tissue-specific encyclopedia of metabolism (“tissue-specific encyclopedia of metabolism,” n.d.) using the recon1 human metabolic reconstruction (duarte et al., ) and data from the gene expression barcode project (mccall et al., ) to extract 126 tissue-specific model reconstructions., while fastcore aims also at obtaining a minimal consistent model containing all core […]

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Gene Expression Barcode institution(s)
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.

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