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vidger

Create rapid visualizations of RNAseq data in R

Bioconductor version: 3.24 · Package version: 1.33.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("vidger")

Details

MaintainerBrandon Monier <brandon.monier@gmail.com>
AuthorBrandon Monier [aut, cre], Adam McDermaid [aut], Jing Zhao [aut], Qin Ma [aut, fnd]
LicenseGPL-3 | file LICENSE
URLhttps://github.com/btmonier/vidger, https://bioconductor.org/packages/release/bioc/html/vidger.html
Bug Reportshttps://github.com/btmonier/vidger/issues
Downloads rank571
Source branchdevel
biocViewsDifferentialExpression, GeneExpression, ImmunoOncology, RNASeq, Software, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagevidger_1.33.0.tar.gz
Windows binary (x86_64)vidger_1.33.0.zip
macOS binary (arm64)vidger_1.33.0.tgz
macOS binary (x86_64)vidger_1.33.0.tgz
Dependencies

Depends: R (>= 3.5)

Imports: Biobase, DESeq2, edgeR, GGally, ggplot2, ggrepel, knitr, RColorBrewer, rmarkdown, scales, stats, SummarizedExperiment, tidyr, utils

Suggests: BiocStyle, testthat