vidger

DOI: 10.18129/B9.bioc.vidger    

Create rapid visualizations of RNAseq data in R

Bioconductor version: Release (3.7)

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, Adam McDermaid, Qin Ma

Maintainer: Brandon Monier <brandon.monier at sdstate.edu>

Citation (from within R, enter citation("vidger")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("vidger")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("vidger")

 

HTML R Script Visualizing RNA-seq data with ViDGER
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews DifferentialExpression, GeneExpression, RNASeq, Software, Visualization
Version 1.0.0
License GPL-2 | file LICENSE
Depends R (>= 3.5)
Imports Biobase, DESeq2, edgeR, knitr, rmarkdown, GGally, ggplot2, scales, stats, SummarizedExperiment, tidyr, utils
LinkingTo
Suggests testthat, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package vidger_1.0.0.tar.gz
Windows Binary vidger_1.0.0.zip
Mac OS X 10.11 (El Capitan) vidger_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/vidger
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/vidger
Package Short Url http://bioconductor.org/packages/vidger/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: