clusterProfiler
This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see clusterProfiler.
A universal enrichment tool for interpreting omics data
Bioconductor version: 3.16
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.
Author: Guangchuang Yu [aut, cre, cph] , Li-Gen Wang [ctb], Erqiang Hu [ctb], Xiao Luo [ctb], Meijun Chen [ctb], Giovanni Dall'Olio [ctb], Wanqian Wei [ctb], Chun-Hui Gao [ctb]
Maintainer: Guangchuang Yu <guangchuangyu at gmail.com>
citation("clusterProfiler")
):
Installation
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("clusterProfiler")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("clusterProfiler")
Statistical analysis and visualization of functional profiles for genes and gene clusters | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Annotation, Clustering, GO, GeneSetEnrichment, KEGG, MultipleComparison, Pathways, Reactome, Software, Visualization |
Version | 4.6.2 |
In Bioconductor since | BioC 2.8 (R-2.13) (13 years) |
License | Artistic-2.0 |
Depends | R (>= 3.5.0) |
Imports | AnnotationDbi, downloader, DOSE(>= 3.23.2), dplyr, enrichplot(>= 1.9.3), GO.db, GOSemSim, gson (>= 0.0.7), magrittr, methods, plyr, qvalue, rlang, stats, tidyr, utils, yulab.utils |
System Requirements | |
URL | https://yulab-smu.top/biomedical-knowledge-mining-book/(docs) https://doi.org/10.1016/j.xinn.2021.100141(paper) |
Bug Reports | https://github.com/GuangchuangYu/clusterProfiler/issues |
See More
Suggests | AnnotationHub, knitr, rmarkdown, org.Hs.eg.db, prettydoc, ReactomePA, testthat |
Linking To | |
Enhances | |
Depends On Me | maEndToEnd |
Imports Me | bioCancer, CEMiTool, CeTF, conclus, debrowser, EasyCellType, eegc, enrichTF, esATAC, ExpHunterSuite, famat, fcoex, GDCRNATools, goSorensen, IRISFGM, MAGeCKFlute, MetaPhOR, methylGSA, MicrobiomeProfiler, miRspongeR, MoonlightR, multiSight, netboxr, PanomiR, PFP, Pigengene, recountWorkflow, RNASeqR, signatureSearch, TCGAbiolinksGUI, TCGAWorkflow, TimiRGeN |
Suggests Me | ChIPseeker, cola, DAPAR, DOSE, enrichplot, EpiCompare, epihet, EpiMix, GeneTonic, GenomicSuperSignature, GOSemSim, GRaNIE, GSEAmining, MesKit, org.Mxanthus.db, paxtoolsr, ReactomePA, rrvgo, scGPS, simplifyEnrichment, TCGAbiolinks, tidybulk, vsclust |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | clusterProfiler_4.6.2.tar.gz |
Windows Binary | clusterProfiler_4.6.2.zip |
macOS Binary (x86_64) | clusterProfiler_4.6.2.tgz |
macOS Binary (arm64) | clusterProfiler_4.6.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/clusterProfiler |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/clusterProfiler |
Bioc Package Browser | https://code.bioconductor.org/browse/clusterProfiler/ |
Package Short Url | https://bioconductor.org/packages/clusterProfiler/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.16 | Source Archive |