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Guidelines for the functional annotation of microRNAs using the Gene Ontology
MicroRNA regulation of developmental and cellular processes is a relatively new field of study, and the available research data have not been organized to enable its inclusion in pathway and network analysis tools. The association of gene products with terms from the Gene Ontology is an effective me...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4836642/ https://www.ncbi.nlm.nih.gov/pubmed/26917558 http://dx.doi.org/10.1261/rna.055301.115 |
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author | Huntley, Rachael P. Sitnikov, Dmitry Orlic-Milacic, Marija Balakrishnan, Rama D'Eustachio, Peter Gillespie, Marc E. Howe, Doug Kalea, Anastasia Z. Maegdefessel, Lars Osumi-Sutherland, David Petri, Victoria Smith, Jennifer R. Van Auken, Kimberly Wood, Valerie Zampetaki, Anna Mayr, Manuel Lovering, Ruth C. |
author_facet | Huntley, Rachael P. Sitnikov, Dmitry Orlic-Milacic, Marija Balakrishnan, Rama D'Eustachio, Peter Gillespie, Marc E. Howe, Doug Kalea, Anastasia Z. Maegdefessel, Lars Osumi-Sutherland, David Petri, Victoria Smith, Jennifer R. Van Auken, Kimberly Wood, Valerie Zampetaki, Anna Mayr, Manuel Lovering, Ruth C. |
author_sort | Huntley, Rachael P. |
collection | PubMed |
description | MicroRNA regulation of developmental and cellular processes is a relatively new field of study, and the available research data have not been organized to enable its inclusion in pathway and network analysis tools. The association of gene products with terms from the Gene Ontology is an effective method to analyze functional data, but until recently there has been no substantial effort dedicated to applying Gene Ontology terms to microRNAs. Consequently, when performing functional analysis of microRNA data sets, researchers have had to rely instead on the functional annotations associated with the genes encoding microRNA targets. In consultation with experts in the field of microRNA research, we have created comprehensive recommendations for the Gene Ontology curation of microRNAs. This curation manual will enable provision of a high-quality, reliable set of functional annotations for the advancement of microRNA research. Here we describe the key aspects of the work, including development of the Gene Ontology to represent this data, standards for describing the data, and guidelines to support curators making these annotations. The full microRNA curation guidelines are available on the GO Consortium wiki (http://wiki.geneontology.org/index.php/MicroRNA_GO_annotation_manual). |
format | Online Article Text |
id | pubmed-4836642 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-48366422016-05-01 Guidelines for the functional annotation of microRNAs using the Gene Ontology Huntley, Rachael P. Sitnikov, Dmitry Orlic-Milacic, Marija Balakrishnan, Rama D'Eustachio, Peter Gillespie, Marc E. Howe, Doug Kalea, Anastasia Z. Maegdefessel, Lars Osumi-Sutherland, David Petri, Victoria Smith, Jennifer R. Van Auken, Kimberly Wood, Valerie Zampetaki, Anna Mayr, Manuel Lovering, Ruth C. RNA Bioinformatics MicroRNA regulation of developmental and cellular processes is a relatively new field of study, and the available research data have not been organized to enable its inclusion in pathway and network analysis tools. The association of gene products with terms from the Gene Ontology is an effective method to analyze functional data, but until recently there has been no substantial effort dedicated to applying Gene Ontology terms to microRNAs. Consequently, when performing functional analysis of microRNA data sets, researchers have had to rely instead on the functional annotations associated with the genes encoding microRNA targets. In consultation with experts in the field of microRNA research, we have created comprehensive recommendations for the Gene Ontology curation of microRNAs. This curation manual will enable provision of a high-quality, reliable set of functional annotations for the advancement of microRNA research. Here we describe the key aspects of the work, including development of the Gene Ontology to represent this data, standards for describing the data, and guidelines to support curators making these annotations. The full microRNA curation guidelines are available on the GO Consortium wiki (http://wiki.geneontology.org/index.php/MicroRNA_GO_annotation_manual). Cold Spring Harbor Laboratory Press 2016-05 /pmc/articles/PMC4836642/ /pubmed/26917558 http://dx.doi.org/10.1261/rna.055301.115 Text en © 2016 Huntley et al.; Published by Cold Spring Harbor Laboratory Press for the RNA Society http://creativecommons.org/licenses/by/4.0/ This article, published in RNA, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Bioinformatics Huntley, Rachael P. Sitnikov, Dmitry Orlic-Milacic, Marija Balakrishnan, Rama D'Eustachio, Peter Gillespie, Marc E. Howe, Doug Kalea, Anastasia Z. Maegdefessel, Lars Osumi-Sutherland, David Petri, Victoria Smith, Jennifer R. Van Auken, Kimberly Wood, Valerie Zampetaki, Anna Mayr, Manuel Lovering, Ruth C. Guidelines for the functional annotation of microRNAs using the Gene Ontology |
title | Guidelines for the functional annotation of microRNAs using the Gene Ontology |
title_full | Guidelines for the functional annotation of microRNAs using the Gene Ontology |
title_fullStr | Guidelines for the functional annotation of microRNAs using the Gene Ontology |
title_full_unstemmed | Guidelines for the functional annotation of microRNAs using the Gene Ontology |
title_short | Guidelines for the functional annotation of microRNAs using the Gene Ontology |
title_sort | guidelines for the functional annotation of micrornas using the gene ontology |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4836642/ https://www.ncbi.nlm.nih.gov/pubmed/26917558 http://dx.doi.org/10.1261/rna.055301.115 |
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