Bioconductor version: Release (3.13)
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], Meijun Chen [ctb], Giovanni Dall'Olio [ctb]
Maintainer: Guangchuang Yu <guangchuangyu at gmail.com>
Citation (from within R,
enter citation("clusterProfiler")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("clusterProfiler")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("clusterProfiler")
HTML | R Script | Statistical analysis and visualization of functional profiles for genes and gene clusters |
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Source Package | clusterProfiler_4.0.5.tar.gz |
Windows Binary | clusterProfiler_4.0.5.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | clusterProfiler_4.0.5.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/clusterProfiler |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/clusterProfiler |
Package Short Url | https://bioconductor.org/packages/clusterProfiler/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.13 | Source Archive |
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