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Gene Expression Atlas at the European Bioinformatics Institute
The Gene Expression Atlas (http://www.ebi.ac.uk/gxa) is an added-value database providing information about gene expression in different cell types, organism parts, developmental stages, disease states, sample treatments and other biological/experimental conditions. The content of this database deri...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808905/ https://www.ncbi.nlm.nih.gov/pubmed/19906730 http://dx.doi.org/10.1093/nar/gkp936 |
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author | Kapushesky, Misha Emam, Ibrahim Holloway, Ele Kurnosov, Pavel Zorin, Andrey Malone, James Rustici, Gabriella Williams, Eleanor Parkinson, Helen Brazma, Alvis |
author_facet | Kapushesky, Misha Emam, Ibrahim Holloway, Ele Kurnosov, Pavel Zorin, Andrey Malone, James Rustici, Gabriella Williams, Eleanor Parkinson, Helen Brazma, Alvis |
author_sort | Kapushesky, Misha |
collection | PubMed |
description | The Gene Expression Atlas (http://www.ebi.ac.uk/gxa) is an added-value database providing information about gene expression in different cell types, organism parts, developmental stages, disease states, sample treatments and other biological/experimental conditions. The content of this database derives from curation, re-annotation and statistical analysis of selected data from the ArrayExpress Archive of Functional Genomics Data. A simple interface allows the user to query for differential gene expression either (i) by gene names or attributes such as Gene Ontology terms, or (ii) by biological conditions, e.g. diseases, organism parts or cell types. The gene queries return the conditions where expression has been reported, while condition queries return which genes are reported to be expressed in these conditions. A combination of both query types is possible. The query results are ranked using various statistical measures and by how many independent studies in the database show the particular gene-condition association. Currently, the database contains information about more than 200 000 genes from nine species and almost 4500 biological conditions studied in over 30 000 assays from over 1000 independent studies. |
format | Text |
id | pubmed-2808905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28089052010-01-20 Gene Expression Atlas at the European Bioinformatics Institute Kapushesky, Misha Emam, Ibrahim Holloway, Ele Kurnosov, Pavel Zorin, Andrey Malone, James Rustici, Gabriella Williams, Eleanor Parkinson, Helen Brazma, Alvis Nucleic Acids Res Articles The Gene Expression Atlas (http://www.ebi.ac.uk/gxa) is an added-value database providing information about gene expression in different cell types, organism parts, developmental stages, disease states, sample treatments and other biological/experimental conditions. The content of this database derives from curation, re-annotation and statistical analysis of selected data from the ArrayExpress Archive of Functional Genomics Data. A simple interface allows the user to query for differential gene expression either (i) by gene names or attributes such as Gene Ontology terms, or (ii) by biological conditions, e.g. diseases, organism parts or cell types. The gene queries return the conditions where expression has been reported, while condition queries return which genes are reported to be expressed in these conditions. A combination of both query types is possible. The query results are ranked using various statistical measures and by how many independent studies in the database show the particular gene-condition association. Currently, the database contains information about more than 200 000 genes from nine species and almost 4500 biological conditions studied in over 30 000 assays from over 1000 independent studies. Oxford University Press 2010-01 2009-11-11 /pmc/articles/PMC2808905/ /pubmed/19906730 http://dx.doi.org/10.1093/nar/gkp936 Text en © The Author(s) 2009. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Kapushesky, Misha Emam, Ibrahim Holloway, Ele Kurnosov, Pavel Zorin, Andrey Malone, James Rustici, Gabriella Williams, Eleanor Parkinson, Helen Brazma, Alvis Gene Expression Atlas at the European Bioinformatics Institute |
title | Gene Expression Atlas at the European Bioinformatics Institute |
title_full | Gene Expression Atlas at the European Bioinformatics Institute |
title_fullStr | Gene Expression Atlas at the European Bioinformatics Institute |
title_full_unstemmed | Gene Expression Atlas at the European Bioinformatics Institute |
title_short | Gene Expression Atlas at the European Bioinformatics Institute |
title_sort | gene expression atlas at the european bioinformatics institute |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808905/ https://www.ncbi.nlm.nih.gov/pubmed/19906730 http://dx.doi.org/10.1093/nar/gkp936 |
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