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 <[email protected]>
LicenseGPL-3 | file LICENSE
Version1.6.0
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:
source("https://bioconductor.org/biocLite.R")
biocLite("vidger")

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vidger documentation built on Oct. 31, 2019, 5:30 a.m.