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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...

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Autores principales: Kapushesky, Misha, Emam, Ibrahim, Holloway, Ele, Kurnosov, Pavel, Zorin, Andrey, Malone, James, Rustici, Gabriella, Williams, Eleanor, Parkinson, Helen, Brazma, Alvis
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
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.
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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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