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A database of functional genomics experiments that can be queried and the data downloaded. ArrayExpress includes data generated by sequencing or array-based technologies. Data are submitted by users and imported directly from the NCBI Gene Expression Omnibus. The ArrayExpress Archive is closely integrated with the Gene Expression Atlas and the sequence databases at the European Bioinformatics Institute. Advanced queries provided via ontology enabled interfaces include queries based on technology and sample attributes such as disease, cell types and anatomy.

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Institution(s)

Functional Genomics Team, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK

Funding source(s)

ArrayExpress and related activities are supported by member states of the European Molecular Biology Laboratory; European Commission: ENGAGE [201413], EurocanPlatform [260791], GEUVADIS [261123], SLING [226073], SYBARIS [242220], EUROCANPLATFORM [260791], CAGEKID [241669], BioMedBridges [284209] and Gen2Phen [200754]; US National Institutes of Health (the National Human Genome Research Institute, National Institute of Biomedical Imaging and Bioengineering and the National Cancer Institute) [P41 HG003619]; National Center for Biomedical Ontology (one of the National Centers for Biomedical Computing supported by the National Human Genome Research Institute, the National Heart, Lung, and Blood Institute, and National Institutes of Health Common Fund [U54-HG004028]); National Science Foundation Award Number [1127112].

  • (Kolesnikov et al., 2015) ArrayExpress update-simplifying data submissions. Nucleic acids research.
    PMID: 25361974
  • (Rustici et al., 2013) ArrayExpress update–trends in database growth and links to data analysis tools. Nucleic acids research.
    PMID: 23193272
  • (Parkinson et al., 2011) ArrayExpress update–an archive of microarray and high-throughput sequencing-based functional genomics experiments. Nucleic acids research.
    PMID: 21071405
  • (Rung and Brazma, 2013) Reuse of public genome-wide gene expression data. Nature reviews Genetics.
    PMID: 23269463

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