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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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Caltech Library
2023
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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 |
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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 |