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rGREAT: an R/bioconductor package for functional enrichment on genomic regions
SUMMARY: GREAT (Genomic Regions Enrichment of Annotations Tool) is a widely used tool for functional enrichment on genomic regions. However, as an online tool, it has limitations of outdated annotation data, small numbers of supported organisms and gene set collections, and not being extensible for...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805586/ https://www.ncbi.nlm.nih.gov/pubmed/36394265 http://dx.doi.org/10.1093/bioinformatics/btac745 |
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author | Gu, Zuguang Hübschmann, Daniel |
author_facet | Gu, Zuguang Hübschmann, Daniel |
author_sort | Gu, Zuguang |
collection | PubMed |
description | SUMMARY: GREAT (Genomic Regions Enrichment of Annotations Tool) is a widely used tool for functional enrichment on genomic regions. However, as an online tool, it has limitations of outdated annotation data, small numbers of supported organisms and gene set collections, and not being extensible for users. Here, we developed a new R/Bioconductorpackage named rGREAT which implements the GREAT algorithm locally. rGREAT by default supports more than 600 organisms and a large number of gene set collections, as well as self-provided gene sets and organisms from users. Additionally, it implements a general method for dealing with background regions. AVAILABILITY AND IMPLEMENTATION: The package rGREAT is freely available from the Bioconductor project: https://bioconductor.org/packages/rGREAT/. The development version is available at https://github.com/jokergoo/rGREAT. Gene Ontology gene sets for more than 600 organisms retrieved from Ensembl BioMart are presented in an R package BioMartGOGeneSets which is available at https://github.com/jokergoo/BioMartGOGeneSets. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9805586 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98055862023-01-03 rGREAT: an R/bioconductor package for functional enrichment on genomic regions Gu, Zuguang Hübschmann, Daniel Bioinformatics Applications Note SUMMARY: GREAT (Genomic Regions Enrichment of Annotations Tool) is a widely used tool for functional enrichment on genomic regions. However, as an online tool, it has limitations of outdated annotation data, small numbers of supported organisms and gene set collections, and not being extensible for users. Here, we developed a new R/Bioconductorpackage named rGREAT which implements the GREAT algorithm locally. rGREAT by default supports more than 600 organisms and a large number of gene set collections, as well as self-provided gene sets and organisms from users. Additionally, it implements a general method for dealing with background regions. AVAILABILITY AND IMPLEMENTATION: The package rGREAT is freely available from the Bioconductor project: https://bioconductor.org/packages/rGREAT/. The development version is available at https://github.com/jokergoo/rGREAT. Gene Ontology gene sets for more than 600 organisms retrieved from Ensembl BioMart are presented in an R package BioMartGOGeneSets which is available at https://github.com/jokergoo/BioMartGOGeneSets. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-11-17 /pmc/articles/PMC9805586/ /pubmed/36394265 http://dx.doi.org/10.1093/bioinformatics/btac745 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Note Gu, Zuguang Hübschmann, Daniel rGREAT: an R/bioconductor package for functional enrichment on genomic regions |
title |
rGREAT: an R/bioconductor package for functional enrichment on genomic regions |
title_full |
rGREAT: an R/bioconductor package for functional enrichment on genomic regions |
title_fullStr |
rGREAT: an R/bioconductor package for functional enrichment on genomic regions |
title_full_unstemmed |
rGREAT: an R/bioconductor package for functional enrichment on genomic regions |
title_short |
rGREAT: an R/bioconductor package for functional enrichment on genomic regions |
title_sort | rgreat: an r/bioconductor package for functional enrichment on genomic regions |
topic | Applications Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805586/ https://www.ncbi.nlm.nih.gov/pubmed/36394265 http://dx.doi.org/10.1093/bioinformatics/btac745 |
work_keys_str_mv | AT guzuguang rgreatanrbioconductorpackageforfunctionalenrichmentongenomicregions AT hubschmanndaniel rgreatanrbioconductorpackageforfunctionalenrichmentongenomicregions |