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DESCRIPTION
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DESCRIPTION
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Package: clusterProfiler
Type: Package
Title: A universal enrichment tool for interpreting omics data
Version: 4.7.0
Authors@R: c(
person(given = "Guangchuang", family = "Yu", email = "guangchuangyu@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-6485-8781")),
person(given = "Li-Gen", family = "Wang", email = "reeganwang020@gmail.com", role = "ctb"),
person(given = "Erqiang", family = "Hu", email = "woshihuerqiang@qq.com", role = "ctb"),
person(given = "Xiao", family = "Luo", email = "l77880853349@163.com", role = "ctb"),
person(given = "Meijun", family = "Chen", email = "mjchen1996@outlook.com", role = "ctb"),
person(given = "Giovanni", family = "Dall'Olio", email = "giovanni.dallolio@upf.edu", role = "ctb"),
person(given = "Wanqian", family = "Wei", email = "altair_wei@outlook.com", role = "ctb"),
person(given = "Chun-Hui", family = "Gao", email = "gaospecial@gmail.com", role = "ctb", comment = c(ORCID = "0000-0002-1445-7939"))
)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>
Description: 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.
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
Suggests:
AnnotationHub,
knitr,
rmarkdown,
org.Hs.eg.db,
prettydoc,
ReactomePA,
testthat
VignetteBuilder: knitr
ByteCompile: true
License: Artistic-2.0
URL: https://yulab-smu.top/biomedical-knowledge-mining-book/ (docs), https://doi.org/10.1016/j.xinn.2021.100141 (paper)
BugReports: https://github.com/GuangchuangYu/clusterProfiler/issues
Packaged: NA
biocViews: Annotation, Clustering, GeneSetEnrichment, GO, KEGG,
MultipleComparison, Pathways, Reactome, Visualization
Encoding: UTF-8
RoxygenNote: 7.2.1