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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-8454663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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