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Tianzhi Wu, Erqiang Hu, Shuangbin Xu, Meijun Chen, Pingfan Guo, Zehan Dai, Tingze Feng, Lang Zhou, Wenli Tang, Li Zhan and 4 more
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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Wu, T., Hu, E., Xu, S., Chen, M., Guo, P., Dai, Z., Feng, T., Zhou, L., Tang, W., Zhan, L., Fu, X., Liu, S., Bo, X., & Yu, G. (2021). clusterProfiler 4.0: A universal enrichment tool for interpreting omics data. The Innovation, 2(3), 100141. https://doi.org/10.1016/j.xinn.2021.100141
Wu, Tianzhi, et al. "clusterProfiler 4.0: A universal enrichment tool for interpreting omics data." The Innovation, vol. 2, no. 3, 2021, pp. 100141, https://doi.org/10.1016/j.xinn.2021.100141.
Wu, Tianzhi, Erqiang Hu, Shuangbin Xu, Meijun Chen, Pingfan Guo, Zehan Dai, Tingze Feng, et al. "clusterProfiler 4.0: A universal enrichment tool for interpreting omics data." The Innovation 2, no. 3 (2021): 100141. https://doi.org/10.1016/j.xinn.2021.100141.
Wu T., Hu E., Xu S. [и др.] clusterProfiler 4.0: A universal enrichment tool for interpreting omics data // The Innovation. — 2021. — Vol. 2, № 3. — P. 100141. — URL: https://doi.org/10.1016/j.xinn.2021.100141
@article{wu2021clusterprofiler,
title = {{clusterProfiler 4.0: A universal enrichment tool for interpreting omics data}},
author = {Tianzhi Wu and Erqiang Hu and Shuangbin Xu and Meijun Chen and Pingfan Guo and Zehan Dai and Tingze Feng and Lang Zhou and Wenli Tang and Li Zhan and Xiaocong Fu and Shanshan Liu and Xiaochen Bo and Guangchuang Yu},
journal = {The Innovation},
year = {2021},
volume = {2},
number = {3},
pages = {100141},
doi = {10.1016/j.xinn.2021.100141},
url = {https://doi.org/10.1016/j.xinn.2021.100141}
}TY - JOUR AU - Wu, Tianzhi AU - Hu, Erqiang AU - Xu, Shuangbin AU - Chen, Meijun AU - Guo, Pingfan AU - Dai, Zehan AU - Feng, Tingze AU - Zhou, Lang AU - Tang, Wenli AU - Zhan, Li AU - Fu, Xiaocong AU - Liu, Shanshan AU - Bo, Xiaochen AU - Yu, Guangchuang TI - clusterProfiler 4.0: A universal enrichment tool for interpreting omics data JO - The Innovation VL - 2 IS - 3 SP - 100141 PY - 2021 DA - 2021/07/01 DO - 10.1016/j.xinn.2021.100141 UR - https://doi.org/10.1016/j.xinn.2021.100141 ER -
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