Cargando…

rrvgo: a Bioconductor package for interpreting lists of Gene Ontology terms

Gene Ontology (GO) annotation is often used to guide the biological interpretation of high-throughput omics experiments, e.g. by analysing lists of differentially regulated genes for enriched GO terms. Due to the hierarchical nature of GOs, the resulting lists of enriched terms are usually redundant...

Descripción completa

Detalles Bibliográficos
Autor principal: Sayols, Sergi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Caltech Library 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155054/
https://www.ncbi.nlm.nih.gov/pubmed/37151216
http://dx.doi.org/10.17912/micropub.biology.000811
_version_ 1785036255200804864
author Sayols, Sergi
author_facet Sayols, Sergi
author_sort Sayols, Sergi
collection PubMed
description Gene Ontology (GO) annotation is often used to guide the biological interpretation of high-throughput omics experiments, e.g. by analysing lists of differentially regulated genes for enriched GO terms. Due to the hierarchical nature of GOs, the resulting lists of enriched terms are usually redundant and difficult to summarise and interpret. To facilitate the interpretation of large lists of GO terms, I developed rrvgo, a Bioconductor package that aims at simplifying the redundancy of GO lists by grouping similar terms based on their semantic similarity. rrvgo also provides different visualization options to guide the interpretation of the summarized GO terms. Considering that several software tools have been developed for this purpose, rrvgo is unique at combining powerful visualizations in a programmatic interface coupled with up-to-date GO gene annotation provided by the Bioconductor project.
format Online
Article
Text
id pubmed-10155054
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Caltech Library
record_format MEDLINE/PubMed
spelling pubmed-101550542023-05-04 rrvgo: a Bioconductor package for interpreting lists of Gene Ontology terms Sayols, Sergi MicroPubl Biol Software Gene Ontology (GO) annotation is often used to guide the biological interpretation of high-throughput omics experiments, e.g. by analysing lists of differentially regulated genes for enriched GO terms. Due to the hierarchical nature of GOs, the resulting lists of enriched terms are usually redundant and difficult to summarise and interpret. To facilitate the interpretation of large lists of GO terms, I developed rrvgo, a Bioconductor package that aims at simplifying the redundancy of GO lists by grouping similar terms based on their semantic similarity. rrvgo also provides different visualization options to guide the interpretation of the summarized GO terms. Considering that several software tools have been developed for this purpose, rrvgo is unique at combining powerful visualizations in a programmatic interface coupled with up-to-date GO gene annotation provided by the Bioconductor project. Caltech Library 2023-04-18 /pmc/articles/PMC10155054/ /pubmed/37151216 http://dx.doi.org/10.17912/micropub.biology.000811 Text en Copyright: © 2023 by the authors https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Software
Sayols, Sergi
rrvgo: a Bioconductor package for interpreting lists of Gene Ontology terms
title rrvgo: a Bioconductor package for interpreting lists of Gene Ontology terms
title_full rrvgo: a Bioconductor package for interpreting lists of Gene Ontology terms
title_fullStr rrvgo: a Bioconductor package for interpreting lists of Gene Ontology terms
title_full_unstemmed rrvgo: a Bioconductor package for interpreting lists of Gene Ontology terms
title_short rrvgo: a Bioconductor package for interpreting lists of Gene Ontology terms
title_sort rrvgo: a bioconductor package for interpreting lists of gene ontology terms
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155054/
https://www.ncbi.nlm.nih.gov/pubmed/37151216
http://dx.doi.org/10.17912/micropub.biology.000811
work_keys_str_mv AT sayolssergi rrvgoabioconductorpackageforinterpretinglistsofgeneontologyterms