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All of gene expression (AOE): An integrated index for public gene expression databases

Gene expression data have been archived as microarray and RNA-seq datasets in two public databases, Gene Expression Omnibus (GEO) and ArrayExpress (AE). In 2018, the DNA DataBank of Japan started a similar repository called the Genomic Expression Archive (GEA). These databases are useful resources f...

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Autor principal: Bono, Hidemasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6980531/
https://www.ncbi.nlm.nih.gov/pubmed/31978081
http://dx.doi.org/10.1371/journal.pone.0227076
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author Bono, Hidemasa
author_facet Bono, Hidemasa
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description Gene expression data have been archived as microarray and RNA-seq datasets in two public databases, Gene Expression Omnibus (GEO) and ArrayExpress (AE). In 2018, the DNA DataBank of Japan started a similar repository called the Genomic Expression Archive (GEA). These databases are useful resources for the functional interpretation of genes, but have been separately maintained and may lack RNA-seq data, while the original sequence data are available in the Sequence Read Archive (SRA). We constructed an index for those gene expression data repositories, called All Of gene Expression (AOE), to integrate publicly available gene expression data. The web interface of AOE can graphically query data in addition to the application programming interface. By collecting gene expression data from RNA-seq in the SRA, AOE also includes data not included in GEO and AE. AOE is accessible as a search tool from the GEA website and is freely available at https://aoe.dbcls.jp/.
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spelling pubmed-69805312020-02-04 All of gene expression (AOE): An integrated index for public gene expression databases Bono, Hidemasa PLoS One Research Article Gene expression data have been archived as microarray and RNA-seq datasets in two public databases, Gene Expression Omnibus (GEO) and ArrayExpress (AE). In 2018, the DNA DataBank of Japan started a similar repository called the Genomic Expression Archive (GEA). These databases are useful resources for the functional interpretation of genes, but have been separately maintained and may lack RNA-seq data, while the original sequence data are available in the Sequence Read Archive (SRA). We constructed an index for those gene expression data repositories, called All Of gene Expression (AOE), to integrate publicly available gene expression data. The web interface of AOE can graphically query data in addition to the application programming interface. By collecting gene expression data from RNA-seq in the SRA, AOE also includes data not included in GEO and AE. AOE is accessible as a search tool from the GEA website and is freely available at https://aoe.dbcls.jp/. Public Library of Science 2020-01-24 /pmc/articles/PMC6980531/ /pubmed/31978081 http://dx.doi.org/10.1371/journal.pone.0227076 Text en © 2020 Hidemasa Bono http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bono, Hidemasa
All of gene expression (AOE): An integrated index for public gene expression databases
title All of gene expression (AOE): An integrated index for public gene expression databases
title_full All of gene expression (AOE): An integrated index for public gene expression databases
title_fullStr All of gene expression (AOE): An integrated index for public gene expression databases
title_full_unstemmed All of gene expression (AOE): An integrated index for public gene expression databases
title_short All of gene expression (AOE): An integrated index for public gene expression databases
title_sort all of gene expression (aoe): an integrated index for public gene expression databases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6980531/
https://www.ncbi.nlm.nih.gov/pubmed/31978081
http://dx.doi.org/10.1371/journal.pone.0227076
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