Ontology type: schema:ScholarlyArticle Open Access: True
2022-03-02
AUTHORS ABSTRACTHigh-throughput cell type-specific multi-omic analyses have advanced our understanding of inner ear biology in an unprecedented way. The full benefit of these data, however, is reached from their re-use. Successful re-use of data requires identifying the natural users and ensuring proper data democratization and federation for their seamless and meaningful access. Here we discuss universal challenges in access and re-use of multi-omic data, possible solutions, and introduce the gEAR (the gene Expression Analysis Resource, umgear.org)—a tool for multi-omic data visualization, sharing and access for the ear field. More... »
PAGES319-322
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DOIhttp://dx.doi.org/10.1007/s00439-022-02445-w
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PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/35235019
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