Advancing discovery in hearing research via biologist-friendly access to multi-omic data View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2022-03-02

AUTHORS

Ronna Hertzano, Anup Mahurkar

ABSTRACT

High-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... »

PAGES

319-322

References to SciGraph publications

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  • 2022-01-04. Terra takes the pain out of ‘omics’ computing in the cloud in NATURE
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  • 2016-03-15. The FAIR Guiding Principles for scientific data management and stewardship in SCIENTIFIC DATA
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  • 2018-10-10. Trans-differentiation of outer hair cells into inner hair cells in the absence of INSM1 in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00439-022-02445-w

    DOI

    http://dx.doi.org/10.1007/s00439-022-02445-w

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1145980712

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/35235019


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