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clusterProfiler 4.0: A universal enrichment tool for interpreting omics data

Functional enrichment analysis is pivotal for interpreting high-throughput omics data in life science. It is crucial for this type of tool to use the latest annotation databases for as many organisms as possible. To meet these requirements, we present here an updated version of our popular Bioconduc...

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Detalles Bibliográficos
Autores principales: Wu, Tianzhi, Hu, Erqiang, Xu, Shuangbin, Chen, Meijun, Guo, Pingfan, Dai, Zehan, Feng, Tingze, Zhou, Lang, Tang, Wenli, Zhan, Li, Fu, Xiaocong, Liu, Shanshan, Bo, Xiaochen, Yu, Guangchuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454663/
https://www.ncbi.nlm.nih.gov/pubmed/34557778
http://dx.doi.org/10.1016/j.xinn.2021.100141
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author Wu, Tianzhi
Hu, Erqiang
Xu, Shuangbin
Chen, Meijun
Guo, Pingfan
Dai, Zehan
Feng, Tingze
Zhou, Lang
Tang, Wenli
Zhan, Li
Fu, Xiaocong
Liu, Shanshan
Bo, Xiaochen
Yu, Guangchuang
author_facet Wu, Tianzhi
Hu, Erqiang
Xu, Shuangbin
Chen, Meijun
Guo, Pingfan
Dai, Zehan
Feng, Tingze
Zhou, Lang
Tang, Wenli
Zhan, Li
Fu, Xiaocong
Liu, Shanshan
Bo, Xiaochen
Yu, Guangchuang
author_sort Wu, Tianzhi
collection PubMed
description Functional enrichment analysis is pivotal for interpreting high-throughput omics data in life science. It is crucial for this type of tool to use the latest annotation databases for as many organisms as possible. To meet these requirements, we present here an updated version of our popular Bioconductor package, clusterProfiler 4.0. This package has been enhanced considerably compared with its original version published 9 years ago. The new version provides a universal interface for functional enrichment analysis in thousands of organisms based on internally supported ontologies and pathways as well as annotation data provided by users or derived from online databases. It also extends the dplyr and ggplot2 packages to offer tidy interfaces for data operation and visualization. Other new features include gene set enrichment analysis and comparison of enrichment results from multiple gene lists. We anticipate that clusterProfiler 4.0 will be applied to a wide range of scenarios across diverse organisms.
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spelling pubmed-84546632021-09-22 clusterProfiler 4.0: A universal enrichment tool for interpreting omics data Wu, Tianzhi Hu, Erqiang Xu, Shuangbin Chen, Meijun Guo, Pingfan Dai, Zehan Feng, Tingze Zhou, Lang Tang, Wenli Zhan, Li Fu, Xiaocong Liu, Shanshan Bo, Xiaochen Yu, Guangchuang Innovation (Camb) Article Functional enrichment analysis is pivotal for interpreting high-throughput omics data in life science. It is crucial for this type of tool to use the latest annotation databases for as many organisms as possible. To meet these requirements, we present here an updated version of our popular Bioconductor package, clusterProfiler 4.0. This package has been enhanced considerably compared with its original version published 9 years ago. The new version provides a universal interface for functional enrichment analysis in thousands of organisms based on internally supported ontologies and pathways as well as annotation data provided by users or derived from online databases. It also extends the dplyr and ggplot2 packages to offer tidy interfaces for data operation and visualization. Other new features include gene set enrichment analysis and comparison of enrichment results from multiple gene lists. We anticipate that clusterProfiler 4.0 will be applied to a wide range of scenarios across diverse organisms. Elsevier 2021-07-01 /pmc/articles/PMC8454663/ /pubmed/34557778 http://dx.doi.org/10.1016/j.xinn.2021.100141 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Wu, Tianzhi
Hu, Erqiang
Xu, Shuangbin
Chen, Meijun
Guo, Pingfan
Dai, Zehan
Feng, Tingze
Zhou, Lang
Tang, Wenli
Zhan, Li
Fu, Xiaocong
Liu, Shanshan
Bo, Xiaochen
Yu, Guangchuang
clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
title clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
title_full clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
title_fullStr clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
title_full_unstemmed clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
title_short clusterProfiler 4.0: A universal enrichment tool for interpreting omics data
title_sort clusterprofiler 4.0: a universal enrichment tool for interpreting omics data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454663/
https://www.ncbi.nlm.nih.gov/pubmed/34557778
http://dx.doi.org/10.1016/j.xinn.2021.100141
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