clusterProfiler, dplyr, DOSE, europepmc, fst, geneset,
ggplot2, ggraph, igraph, magrittr, openxlsx, stringr, stringi,
tidyr, VennDiagram, rlang
AnnotationDbi, BiocManager, cowplot, ComplexUpset,
data.table, forcats, fgsea, futile.logger, ggplotify, ggsci,
ggupset, ggrepel, ggridges, ggnewscale, GOplot, GOSemSim,
labeling, msigdbr, pheatmap, tm, treemap, RColorBrewer,
rappdirs, RCurl, reshape2, rio, rrvgo, scales, stats, testthat
(>= 3.0.0), tibble, wordcloud, knitr, rmarkdown

An analysis toolkit focused on genes. It mainly includes five
features (search, convert, analysis, plot, and export).
The user just needs to input feature id ('entrez', 'symbol', 'ensembl' or
'uniprot') to retrieve feature information and 'PubMed'<https://pubmed.ncbi.nlm.nih.gov/> records,
to convert id types, to easily handle gene enrichment analysis and publication-level figures,
to plot group interaction and export results as sheets in one 'excel'
file to easily share and communicate with others.
clusterProfiler, dplyr, europepmc, fst, geneset, ggplot2,
ggraph, igraph, magrittr, openxlsx, stringr, stringi, tidyr,
VennDiagram, rlang

person("J Grey", "Monroe", email = "greymonroe@gmail.com", role = c("aut", "cre"))
Using simple input, this package creates publication worthy plots of gene models. Users can create plots of alternatively spliced gene variants and the positions of mutations and other gene features.

Using simple input, this package creates plots of gene models. Users can create plots of alternatively spliced gene variants and the positions of mutations and other gene features.

Genetic Epidemiology Design and Inference
Functions for Genetic Epi Methods Developed at MSKCC

Population Genetic Data Analysis Using Genepop
c(person("François", "Rousset", role = c("aut", "cre", "cph"),
email = "francois.rousset@umontpellier.fr"),
person("Jimmy","Lopez", role="ctb"),
person("Khalid","Belkhir", role="ctb"))
Makes the Genepop software available in R. This software implements a mixture of traditional population genetic methods and some more focused developments: it computes exact tests for Hardy-Weinberg equilibrium, for population differentiation and for genotypic disequilibrium among pairs of loci; it computes estimates of F-statistics, null allele frequencies, allele size-based statistics for microsatellites, etc.; and it performs analyses of isolation by distance from pairwise comparisons of individuals or population samples.
François Rousset [aut, cre, cph],
Jimmy Lopez [ctb],
Khalid Belkhir [ctb]