A universal enrichment tool for interpreting omics data
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"))
	)
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.
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
AnnotationHub, knitr, rmarkdown, org.Hs.eg.db, prettydoc,
ReactomePA, testthat
Annotation, Clustering, GeneSetEnrichment, GO, KEGG,
MultipleComparison, Pathways, Reactome, Visualization
Guangchuang Yu [aut, cre, cph]
    (<https://orcid.org/0000-0002-6485-8781>),
  Li-Gen Wang [ctb],
  Erqiang Hu [ctb],
  Xiao Luo [ctb],
  Meijun Chen [ctb],
  Giovanni Dall'Olio [ctb],
  Wanqian Wei [ctb],
  Chun-Hui Gao [ctb] (<https://orcid.org/0000-0002-1445-7939>)