vidger: Create rapid visualizations of RNAseq data in R

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.

Getting started

Package details

AuthorBrandon Monier [aut, cre], Adam McDermaid [aut], Jing Zhao [aut], Qin Ma [aut, fnd]
Bioconductor views DifferentialExpression GeneExpression ImmunoOncology RNASeq Visualization
MaintainerBrandon Monier <brandon.monier@gmail.com>
LicenseGPL-3 | file LICENSE
Version1.10.0
URL https://github.com/btmonier/vidger https://bioconductor.org/packages/release/bioc/html/vidger.html
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("vidger")

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vidger documentation built on Nov. 8, 2020, 5:27 p.m.