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Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt

The Gene Ontology Consortium (GOC) is a major bioinformatics project that provides structured controlled vocabularies to classify gene product function and location. GOC members create annotations to gene products using the Gene Ontology (GO) vocabularies, thus providing an extensive, publicly avail...

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Detalles Bibliográficos
Autores principales: Huntley, Rachael P, Sawford, Tony, Martin, Maria J, O’Donovan, Claire
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3995153/
https://www.ncbi.nlm.nih.gov/pubmed/24641996
http://dx.doi.org/10.1186/2047-217X-3-4
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author Huntley, Rachael P
Sawford, Tony
Martin, Maria J
O’Donovan, Claire
author_facet Huntley, Rachael P
Sawford, Tony
Martin, Maria J
O’Donovan, Claire
author_sort Huntley, Rachael P
collection PubMed
description The Gene Ontology Consortium (GOC) is a major bioinformatics project that provides structured controlled vocabularies to classify gene product function and location. GOC members create annotations to gene products using the Gene Ontology (GO) vocabularies, thus providing an extensive, publicly available resource. The GO and its annotations to gene products are now an integral part of functional analysis, and statistical tests using GO data are becoming routine for researchers to include when publishing functional information. While many helpful articles about the GOC are available, there are certain updates to the ontology and annotation sets that sometimes go unobserved. Here we describe some of the ways in which GO can change that should be carefully considered by all users of GO as they may have a significant impact on the resulting gene product annotations, and therefore the functional description of the gene product, or the interpretation of analyses performed on GO datasets. GO annotations for gene products change for many reasons, and while these changes generally improve the accuracy of the representation of the underlying biology, they do not necessarily imply that previous annotations were incorrect. We additionally describe the quality assurance mechanisms we employ to improve the accuracy of annotations, which necessarily changes the composition of the annotation sets we provide. We use the Universal Protein Resource (UniProt) for illustrative purposes of how the GO Consortium, as a whole, manages these changes.
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spelling pubmed-39951532014-04-23 Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt Huntley, Rachael P Sawford, Tony Martin, Maria J O’Donovan, Claire Gigascience Review The Gene Ontology Consortium (GOC) is a major bioinformatics project that provides structured controlled vocabularies to classify gene product function and location. GOC members create annotations to gene products using the Gene Ontology (GO) vocabularies, thus providing an extensive, publicly available resource. The GO and its annotations to gene products are now an integral part of functional analysis, and statistical tests using GO data are becoming routine for researchers to include when publishing functional information. While many helpful articles about the GOC are available, there are certain updates to the ontology and annotation sets that sometimes go unobserved. Here we describe some of the ways in which GO can change that should be carefully considered by all users of GO as they may have a significant impact on the resulting gene product annotations, and therefore the functional description of the gene product, or the interpretation of analyses performed on GO datasets. GO annotations for gene products change for many reasons, and while these changes generally improve the accuracy of the representation of the underlying biology, they do not necessarily imply that previous annotations were incorrect. We additionally describe the quality assurance mechanisms we employ to improve the accuracy of annotations, which necessarily changes the composition of the annotation sets we provide. We use the Universal Protein Resource (UniProt) for illustrative purposes of how the GO Consortium, as a whole, manages these changes. BioMed Central 2014-03-18 /pmc/articles/PMC3995153/ /pubmed/24641996 http://dx.doi.org/10.1186/2047-217X-3-4 Text en Copyright © 2014 Huntley et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Huntley, Rachael P
Sawford, Tony
Martin, Maria J
O’Donovan, Claire
Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt
title Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt
title_full Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt
title_fullStr Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt
title_full_unstemmed Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt
title_short Understanding how and why the Gene Ontology and its annotations evolve: the GO within UniProt
title_sort understanding how and why the gene ontology and its annotations evolve: the go within uniprot
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3995153/
https://www.ncbi.nlm.nih.gov/pubmed/24641996
http://dx.doi.org/10.1186/2047-217X-3-4
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