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Use of Gene Ontology Annotation to understand the peroxisome proteome in humans
The Gene Ontology (GO) is the de facto standard for the functional description of gene products, providing a consistent, information-rich terminology applicable across species and information repositories. The UniProt Consortium uses both manual and automatic GO annotation approaches to curate UniPr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548334/ https://www.ncbi.nlm.nih.gov/pubmed/23327938 http://dx.doi.org/10.1093/database/bas062 |
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author | Mutowo-Meullenet, Prudence Huntley, Rachael P. Dimmer, Emily C. Alam-Faruque, Yasmin Sawford, Tony Jesus Martin, Maria O’Donovan, Claire Apweiler, Rolf |
author_facet | Mutowo-Meullenet, Prudence Huntley, Rachael P. Dimmer, Emily C. Alam-Faruque, Yasmin Sawford, Tony Jesus Martin, Maria O’Donovan, Claire Apweiler, Rolf |
author_sort | Mutowo-Meullenet, Prudence |
collection | PubMed |
description | The Gene Ontology (GO) is the de facto standard for the functional description of gene products, providing a consistent, information-rich terminology applicable across species and information repositories. The UniProt Consortium uses both manual and automatic GO annotation approaches to curate UniProt Knowledgebase (UniProtKB) entries. The selection of a protein set prioritized for manual annotation has implications for the characteristics of the information provided to users working in a specific field or interested in particular pathways or processes. In this article, we describe an organelle-focused, manual curation initiative targeting proteins from the human peroxisome. We discuss the steps taken to define the peroxisome proteome and the challenges encountered in defining the boundaries of this protein set. We illustrate with the use of examples how GO annotations now capture cell and tissue type information and the advantages that such an annotation approach provides to users. Database URL: http://www.ebi.ac.uk/GOA/ and http://www.uniprot.org |
format | Online Article Text |
id | pubmed-3548334 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35483342013-01-18 Use of Gene Ontology Annotation to understand the peroxisome proteome in humans Mutowo-Meullenet, Prudence Huntley, Rachael P. Dimmer, Emily C. Alam-Faruque, Yasmin Sawford, Tony Jesus Martin, Maria O’Donovan, Claire Apweiler, Rolf Database (Oxford) Original Article The Gene Ontology (GO) is the de facto standard for the functional description of gene products, providing a consistent, information-rich terminology applicable across species and information repositories. The UniProt Consortium uses both manual and automatic GO annotation approaches to curate UniProt Knowledgebase (UniProtKB) entries. The selection of a protein set prioritized for manual annotation has implications for the characteristics of the information provided to users working in a specific field or interested in particular pathways or processes. In this article, we describe an organelle-focused, manual curation initiative targeting proteins from the human peroxisome. We discuss the steps taken to define the peroxisome proteome and the challenges encountered in defining the boundaries of this protein set. We illustrate with the use of examples how GO annotations now capture cell and tissue type information and the advantages that such an annotation approach provides to users. Database URL: http://www.ebi.ac.uk/GOA/ and http://www.uniprot.org Oxford University Press 2013-01-17 /pmc/articles/PMC3548334/ /pubmed/23327938 http://dx.doi.org/10.1093/database/bas062 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Mutowo-Meullenet, Prudence Huntley, Rachael P. Dimmer, Emily C. Alam-Faruque, Yasmin Sawford, Tony Jesus Martin, Maria O’Donovan, Claire Apweiler, Rolf Use of Gene Ontology Annotation to understand the peroxisome proteome in humans |
title | Use of Gene Ontology Annotation to understand the peroxisome proteome in humans |
title_full | Use of Gene Ontology Annotation to understand the peroxisome proteome in humans |
title_fullStr | Use of Gene Ontology Annotation to understand the peroxisome proteome in humans |
title_full_unstemmed | Use of Gene Ontology Annotation to understand the peroxisome proteome in humans |
title_short | Use of Gene Ontology Annotation to understand the peroxisome proteome in humans |
title_sort | use of gene ontology annotation to understand the peroxisome proteome in humans |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548334/ https://www.ncbi.nlm.nih.gov/pubmed/23327938 http://dx.doi.org/10.1093/database/bas062 |
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