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

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 democr...

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Detalles Bibliográficos
Autores principales: Hertzano, Ronna, Mahurkar, Anup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034999/
https://www.ncbi.nlm.nih.gov/pubmed/35235019
http://dx.doi.org/10.1007/s00439-022-02445-w
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author Hertzano, Ronna
Mahurkar, Anup
author_facet Hertzano, Ronna
Mahurkar, Anup
author_sort Hertzano, Ronna
collection PubMed
description 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.
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spelling pubmed-90349992022-05-06 Advancing discovery in hearing research via biologist-friendly access to multi-omic data Hertzano, Ronna Mahurkar, Anup Hum Genet Perspective 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. Springer Berlin Heidelberg 2022-03-02 2022 /pmc/articles/PMC9034999/ /pubmed/35235019 http://dx.doi.org/10.1007/s00439-022-02445-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Hertzano, Ronna
Mahurkar, Anup
Advancing discovery in hearing research via biologist-friendly access to multi-omic data
title Advancing discovery in hearing research via biologist-friendly access to multi-omic data
title_full Advancing discovery in hearing research via biologist-friendly access to multi-omic data
title_fullStr Advancing discovery in hearing research via biologist-friendly access to multi-omic data
title_full_unstemmed Advancing discovery in hearing research via biologist-friendly access to multi-omic data
title_short Advancing discovery in hearing research via biologist-friendly access to multi-omic data
title_sort advancing discovery in hearing research via biologist-friendly access to multi-omic data
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034999/
https://www.ncbi.nlm.nih.gov/pubmed/35235019
http://dx.doi.org/10.1007/s00439-022-02445-w
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