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NCBI GEO: archive for functional genomics data sets—update

The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community. The resource supports archiving of raw data, processed data and meta...

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Autores principales: Barrett, Tanya, Wilhite, Stephen E., Ledoux, Pierre, Evangelista, Carlos, Kim, Irene F., Tomashevsky, Maxim, Marshall, Kimberly A., Phillippy, Katherine H., Sherman, Patti M., Holko, Michelle, Yefanov, Andrey, Lee, Hyeseung, Zhang, Naigong, Robertson, Cynthia L., Serova, Nadezhda, Davis, Sean, Soboleva, Alexandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531084/
https://www.ncbi.nlm.nih.gov/pubmed/23193258
http://dx.doi.org/10.1093/nar/gks1193
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author Barrett, Tanya
Wilhite, Stephen E.
Ledoux, Pierre
Evangelista, Carlos
Kim, Irene F.
Tomashevsky, Maxim
Marshall, Kimberly A.
Phillippy, Katherine H.
Sherman, Patti M.
Holko, Michelle
Yefanov, Andrey
Lee, Hyeseung
Zhang, Naigong
Robertson, Cynthia L.
Serova, Nadezhda
Davis, Sean
Soboleva, Alexandra
author_facet Barrett, Tanya
Wilhite, Stephen E.
Ledoux, Pierre
Evangelista, Carlos
Kim, Irene F.
Tomashevsky, Maxim
Marshall, Kimberly A.
Phillippy, Katherine H.
Sherman, Patti M.
Holko, Michelle
Yefanov, Andrey
Lee, Hyeseung
Zhang, Naigong
Robertson, Cynthia L.
Serova, Nadezhda
Davis, Sean
Soboleva, Alexandra
author_sort Barrett, Tanya
collection PubMed
description The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community. The resource supports archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable. All data are freely available for download in a variety of formats. GEO also provides several web-based tools and strategies to assist users to query, analyse and visualize data. This article reports current status and recent database developments, including the release of GEO2R, an R-based web application that helps users analyse GEO data.
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spelling pubmed-35310842013-01-03 NCBI GEO: archive for functional genomics data sets—update Barrett, Tanya Wilhite, Stephen E. Ledoux, Pierre Evangelista, Carlos Kim, Irene F. Tomashevsky, Maxim Marshall, Kimberly A. Phillippy, Katherine H. Sherman, Patti M. Holko, Michelle Yefanov, Andrey Lee, Hyeseung Zhang, Naigong Robertson, Cynthia L. Serova, Nadezhda Davis, Sean Soboleva, Alexandra Nucleic Acids Res Articles The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community. The resource supports archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable. All data are freely available for download in a variety of formats. GEO also provides several web-based tools and strategies to assist users to query, analyse and visualize data. This article reports current status and recent database developments, including the release of GEO2R, an R-based web application that helps users analyse GEO data. Oxford University Press 2013-01 2012-11-26 /pmc/articles/PMC3531084/ /pubmed/23193258 http://dx.doi.org/10.1093/nar/gks1193 Text en Published by Oxford University Press 2012. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com.
spellingShingle Articles
Barrett, Tanya
Wilhite, Stephen E.
Ledoux, Pierre
Evangelista, Carlos
Kim, Irene F.
Tomashevsky, Maxim
Marshall, Kimberly A.
Phillippy, Katherine H.
Sherman, Patti M.
Holko, Michelle
Yefanov, Andrey
Lee, Hyeseung
Zhang, Naigong
Robertson, Cynthia L.
Serova, Nadezhda
Davis, Sean
Soboleva, Alexandra
NCBI GEO: archive for functional genomics data sets—update
title NCBI GEO: archive for functional genomics data sets—update
title_full NCBI GEO: archive for functional genomics data sets—update
title_fullStr NCBI GEO: archive for functional genomics data sets—update
title_full_unstemmed NCBI GEO: archive for functional genomics data sets—update
title_short NCBI GEO: archive for functional genomics data sets—update
title_sort ncbi geo: archive for functional genomics data sets—update
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3531084/
https://www.ncbi.nlm.nih.gov/pubmed/23193258
http://dx.doi.org/10.1093/nar/gks1193
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