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QuickGO: a web-based tool for Gene Ontology searching

Summary: QuickGO is a web-based tool that allows easy browsing of the Gene Ontology (GO) and all associated electronic and manual GO annotations provided by the GO Consortium annotation groups QuickGO has been a popular GO browser for many years, but after a recent redevelopment it is now able to of...

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Autores principales: Binns, David, Dimmer, Emily, Huntley, Rachael, Barrell, Daniel, O'Donovan, Claire, Apweiler, Rolf
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773257/
https://www.ncbi.nlm.nih.gov/pubmed/19744993
http://dx.doi.org/10.1093/bioinformatics/btp536
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author Binns, David
Dimmer, Emily
Huntley, Rachael
Barrell, Daniel
O'Donovan, Claire
Apweiler, Rolf
author_facet Binns, David
Dimmer, Emily
Huntley, Rachael
Barrell, Daniel
O'Donovan, Claire
Apweiler, Rolf
author_sort Binns, David
collection PubMed
description Summary: QuickGO is a web-based tool that allows easy browsing of the Gene Ontology (GO) and all associated electronic and manual GO annotations provided by the GO Consortium annotation groups QuickGO has been a popular GO browser for many years, but after a recent redevelopment it is now able to offer a greater range of facilities including bulk downloads of GO annotation data which can be extensively filtered by a range of different parameters and GO slim set generation. Availability and Implementation: QuickGO has implemented in JavaScript, Ajax and HTML, with all major browsers supported. It can be queried online at http://www.ebi.ac.uk/QuickGO. The software for QuickGO is freely available under the Apache 2 licence and can be downloaded from http://www.ebi.ac.uk/QuickGO/installation.html Contact: goa@ebi.ac.uk; dbinns@ebi.ac.uk
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spelling pubmed-27732572009-11-05 QuickGO: a web-based tool for Gene Ontology searching Binns, David Dimmer, Emily Huntley, Rachael Barrell, Daniel O'Donovan, Claire Apweiler, Rolf Bioinformatics Applications Note Summary: QuickGO is a web-based tool that allows easy browsing of the Gene Ontology (GO) and all associated electronic and manual GO annotations provided by the GO Consortium annotation groups QuickGO has been a popular GO browser for many years, but after a recent redevelopment it is now able to offer a greater range of facilities including bulk downloads of GO annotation data which can be extensively filtered by a range of different parameters and GO slim set generation. Availability and Implementation: QuickGO has implemented in JavaScript, Ajax and HTML, with all major browsers supported. It can be queried online at http://www.ebi.ac.uk/QuickGO. The software for QuickGO is freely available under the Apache 2 licence and can be downloaded from http://www.ebi.ac.uk/QuickGO/installation.html Contact: goa@ebi.ac.uk; dbinns@ebi.ac.uk Oxford University Press 2009-11-15 2009-09-10 /pmc/articles/PMC2773257/ /pubmed/19744993 http://dx.doi.org/10.1093/bioinformatics/btp536 Text en http://creativecommons.org/licenses/by-nc/2.0/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 Applications Note
Binns, David
Dimmer, Emily
Huntley, Rachael
Barrell, Daniel
O'Donovan, Claire
Apweiler, Rolf
QuickGO: a web-based tool for Gene Ontology searching
title QuickGO: a web-based tool for Gene Ontology searching
title_full QuickGO: a web-based tool for Gene Ontology searching
title_fullStr QuickGO: a web-based tool for Gene Ontology searching
title_full_unstemmed QuickGO: a web-based tool for Gene Ontology searching
title_short QuickGO: a web-based tool for Gene Ontology searching
title_sort quickgo: a web-based tool for gene ontology searching
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2773257/
https://www.ncbi.nlm.nih.gov/pubmed/19744993
http://dx.doi.org/10.1093/bioinformatics/btp536
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