GuangchuangYu/clusterProfiler: A universal enrichment tool for interpreting omics data

This package supports functional characteristics of both coding and non-coding genomics data for thousands of species with up-to-date gene annotation. It provides a univeral 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.

Getting started

Package details

Bioconductor views Annotation Clustering GO GeneSetEnrichment KEGG MultipleComparison Pathways Reactome Visualization
MaintainerGuangchuang Yu <guangchuangyu@gmail.com>
LicenseArtistic-2.0
Version4.5.1.902
URL https://yulab-smu.top/biomedical-knowledge-mining-book/ (docs) https://doi.org/10.1016/j.xinn.2021.100141 (paper)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("GuangchuangYu/clusterProfiler")
GuangchuangYu/clusterProfiler documentation built on June 25, 2022, 1:09 a.m.