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NCBI GEO: mining tens of millions of expression profiles—database and tools update
The Gene Expression Omnibus (GEO) repository at the National Center for Biotechnology Information (NCBI) archives and freely disseminates microarray and other forms of high-throughput data generated by the scientific community. The database has a minimum information about a microarray experiment (MI...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1669752/ https://www.ncbi.nlm.nih.gov/pubmed/17099226 http://dx.doi.org/10.1093/nar/gkl887 |
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author | Barrett, Tanya Troup, Dennis B. Wilhite, Stephen E. Ledoux, Pierre Rudnev, Dmitry Evangelista, Carlos Kim, Irene F. Soboleva, Alexandra Tomashevsky, Maxim Edgar, Ron |
author_facet | Barrett, Tanya Troup, Dennis B. Wilhite, Stephen E. Ledoux, Pierre Rudnev, Dmitry Evangelista, Carlos Kim, Irene F. Soboleva, Alexandra Tomashevsky, Maxim Edgar, Ron |
author_sort | Barrett, Tanya |
collection | PubMed |
description | The Gene Expression Omnibus (GEO) repository at the National Center for Biotechnology Information (NCBI) archives and freely disseminates microarray and other forms of high-throughput data generated by the scientific community. The database has a minimum information about a microarray experiment (MIAME)-compliant infrastructure that captures fully annotated raw and processed data. Several data deposit options and formats are supported, including web forms, spreadsheets, XML and Simple Omnibus Format in Text (SOFT). In addition to data storage, a collection of user-friendly web-based interfaces and applications are available to help users effectively explore, visualize and download the thousands of experiments and tens of millions of gene expression patterns stored in GEO. This paper provides a summary of the GEO database structure and user facilities, and describes recent enhancements to database design, performance, submission format options, data query and retrieval utilities. GEO is accessible at |
format | Text |
id | pubmed-1669752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-16697522007-02-22 NCBI GEO: mining tens of millions of expression profiles—database and tools update Barrett, Tanya Troup, Dennis B. Wilhite, Stephen E. Ledoux, Pierre Rudnev, Dmitry Evangelista, Carlos Kim, Irene F. Soboleva, Alexandra Tomashevsky, Maxim Edgar, Ron Nucleic Acids Res Articles The Gene Expression Omnibus (GEO) repository at the National Center for Biotechnology Information (NCBI) archives and freely disseminates microarray and other forms of high-throughput data generated by the scientific community. The database has a minimum information about a microarray experiment (MIAME)-compliant infrastructure that captures fully annotated raw and processed data. Several data deposit options and formats are supported, including web forms, spreadsheets, XML and Simple Omnibus Format in Text (SOFT). In addition to data storage, a collection of user-friendly web-based interfaces and applications are available to help users effectively explore, visualize and download the thousands of experiments and tens of millions of gene expression patterns stored in GEO. This paper provides a summary of the GEO database structure and user facilities, and describes recent enhancements to database design, performance, submission format options, data query and retrieval utilities. GEO is accessible at Oxford University Press 2007-01 2006-11-11 /pmc/articles/PMC1669752/ /pubmed/17099226 http://dx.doi.org/10.1093/nar/gkl887 Text en Published by Oxford University Press 2006 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Barrett, Tanya Troup, Dennis B. Wilhite, Stephen E. Ledoux, Pierre Rudnev, Dmitry Evangelista, Carlos Kim, Irene F. Soboleva, Alexandra Tomashevsky, Maxim Edgar, Ron NCBI GEO: mining tens of millions of expression profiles—database and tools update |
title | NCBI GEO: mining tens of millions of expression profiles—database and tools update |
title_full | NCBI GEO: mining tens of millions of expression profiles—database and tools update |
title_fullStr | NCBI GEO: mining tens of millions of expression profiles—database and tools update |
title_full_unstemmed | NCBI GEO: mining tens of millions of expression profiles—database and tools update |
title_short | NCBI GEO: mining tens of millions of expression profiles—database and tools update |
title_sort | ncbi geo: mining tens of millions of expression profiles—database and tools update |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1669752/ https://www.ncbi.nlm.nih.gov/pubmed/17099226 http://dx.doi.org/10.1093/nar/gkl887 |
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