Awesome
clusterProfiler
<img src="https://raw.githubusercontent.com/Bioconductor/BiocStickers/master/clusterProfiler/clusterProfiler.png" height="200" align="right" /> <!-- [![Last-changedate](https://img.shields.io/badge/last%20change-2024--10--07-green.svg)](https://github.com/GuangchuangYu/clusterProfiler/commits/master) -->- clusterProfiler supports exploring functional characteristics of both coding and non-coding genomics data for thousands of species with up-to-date gene annotation.
- It provides a universal interface for gene functional annotation from a variety of sources and thus can be applied in diverse scenarios.
- It provides a tidy interface to access, manipulate, and visualize enrichment results to help users achieve efficient data interpretation
- Datasets obtained from multiple treatments and time points can be analyzed and compared in a single run, easily revealing functional consensus and differences among distinct conditions
For details, please visit:
- https://yulab-smu.top/contribution-knowledge-mining/
- https://yulab-smu.top/biomedical-knowledge-mining-book/
:writing_hand: Authors
Guangchuang YU https://yulab-smu.top
School of Basic Medical Sciences, Southern Medical University
If you use clusterProfiler in published research, please cite the most appropriate paper(s) from this list:
- S Xu<sup>#</sup>, E Hu<sup>#</sup>, Y Cai<sup>#</sup>, Z Xie<sup>#</sup>, X Luo<sup>#</sup>, L Zhan, W Tang, Q Wang, B Liu, R Wang, W Xie, T Wu, L Xie, G Yu<sup>*</sup>. Using clusterProfiler to characterise Multi-Omics Data. Nature Protocols. 2024, accepted. doi: 10.1038/s41596-024-01020-z
- T Wu<sup>#</sup>, E Hu<sup>#</sup>, S Xu, M Chen, P Guo, Z Dai, T Feng, L Zhou, W Tang, L Zhan, X Fu, S Liu, X Bo<sup>*</sup>, G Yu<sup>*</sup>. clusterProfiler 4.0: A universal enrichment tool for interpreting omics data. The Innovation. 2021, 2(3):100141. doi: 10.1016/j.xinn.2021.100141
- G Yu<sup>*</sup>. Gene Ontology Semantic Similarity Analysis Using GOSemSim. In: Kidder B. (eds) Stem Cell Transcriptional Networks. Methods in Molecular Biology. 2020, 2117:207-215. Humana, New York, NY. doi: 10.1007/978-1-0716-0301-7_11
- G Yu<sup>*</sup>. Using meshes for MeSH term enrichment and semantic analyses. Bioinformatics. 2018, 34(21):3766–3767. doi: 10.1093/bioinformatics/bty410
- G Yu, QY He<sup>*</sup>. ReactomePA: an R/Bioconductor package for reactome pathway analysis and visualization. Molecular BioSystems. 2016, 12(2):477-479. doi: 10.1039/C5MB00663E
- G Yu<sup>*</sup>, LG Wang, and QY He<sup>*</sup>. ChIPseeker: an R/Bioconductor package for ChIP peak annotation, comparison and visualization. Bioinformatics. 2015, 31(14):2382-2383. doi: 10.1093/bioinformatics/btv145
- G Yu<sup>*</sup>, LG Wang, GR Yan, QY He<sup>*</sup>. DOSE: an R/Bioconductor package for Disease Ontology Semantic and Enrichment analysis. Bioinformatics. 2015, 31(4):608-609. doi: 10.1093/bioinformatics/btu684
- G Yu, LG Wang, Y Han and QY He<sup>*</sup>. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS: A Journal of Integrative Biology. 2012, 16(5):284-287. doi: 10.1089/omi.2011.0118
- G Yu, F Li, Y Qin, X Bo<sup>*</sup>, Y Wu, S Wang<sup>*</sup>. GOSemSim: an R package for measuring semantic similarity among GO terms and gene products. Bioinformatics. 2010, 26(7):976-978. doi: 10.1093/bioinformatics/btq064