clusterProfiler

• 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
• It uses enrichit as the underlying engine for ORA, GSEA, and topology-aware enrichment analysis, while providing a high-level and user-friendly interface for biological interpretation

For details, please visit:

• https://yulab-smu.top/contribution-knowledge-mining/
• https://yulab-smu.top/biomedical-knowledge-mining-book/

:arrow_double_down: Installation

Get the released version from Bioconductor:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("clusterProfiler")

Or install the development version from GitHub:

if (!requireNamespace("remotes", quietly = TRUE))
    install.packages("remotes")
remotes::install_github("YuLab-SMU/clusterProfiler")

:writing_hand: Authors

Guangchuang YU https://yulab-smu.top

School of Basic Medical Sciences, Southern Medical University

:sparkling_heart: Contributing

We welcome any contributions! By participating in this project you agree to abide by the terms outlined in the Contributor Code of Conduct.