This is the released version of vidger; for the devel version, see vidger.
Create rapid visualizations of RNAseq data in RBioconductor version: Release (3.21)
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.
Author: Brandon Monier [aut, cre], Adam McDermaid [aut], Jing Zhao [aut], Qin Ma [aut, fnd]
Maintainer: Brandon Monier <brandon.monier at gmail.com>
Citation (from within R, entercitation("vidger")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("vidger")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("vidger")
Details biocViews DifferentialExpression, GeneExpression, ImmunoOncology, RNASeq, Software, Visualization Version 1.28.0 In Bioconductor since BioC 3.7 (R-3.5) (7 years) License GPL-3 | file LICENSE Depends R (>= 3.5) Imports Biobase, DESeq2, edgeR, GGally, ggplot2, ggrepel, knitr, RColorBrewer, rmarkdown, scales, stats, SummarizedExperiment, tidyr, utils System Requirements URL https://github.com/btmonier/vidger https://bioconductor.org/packages/release/bioc/html/vidger.html Bug Reports https://github.com/btmonier/vidger/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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