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Package: vidger
Title: Create rapid visualizations of RNAseq data in R
Version: 1.4.5
Authors@R: c(
person(
given = "Brandon",
family = "Monier",
email = "brandon.monier@gmail.com",
role = c("aut", "cre")
),
person(
given = "Adam",
family = "McDermaid",
role = "aut"
),
person(
given = "Jing",
family = "Zhao",
role = "aut"
),
person(
given = "Qin",
family = "Ma",
email = "qin.ma@sdstate.edu",
role = c("aut", "fnd")
))
Description:
The aim of vidger is to rapidly generate information-rich visualizations
for the interpretation of differential gene expression results from three
widely-used tools: Cuffdiff, DESeq2, and edgeR.
URL:
https://github.com/btmonier/vidger,
https://bioconductor.org/packages/release/bioc/html/vidger.html
BugReports:
https://github.com/btmonier/vidger/issues
Depends:
R (>= 3.5)
Imports:
Biobase,
DESeq2,
edgeR,
GGally,
ggplot2,
ggrepel,
knitr,
RColorBrewer,
rmarkdown,
scales,
stats,
SummarizedExperiment,
tidyr,
utils
Suggests:
BiocStyle,
testthat
Encoding: UTF-8
LazyData: true
VignetteBuilder:
knitr
RoxygenNote: 7.3.3
License: GPL-3 | file LICENSE
biocViews: ImmunoOncology,
Visualization,
RNASeq,
DifferentialExpression,
GeneExpression,
ImmunoOncology