Glimma

DOI: 10.18129/B9.bioc.Glimma    

Interactive HTML graphics

Bioconductor version: Release (3.6)

This package generates interactive visualisations for analysis of RNA-sequencing data using output from limma, edgeR or DESeq2 packages in an HTML page. The interactions are built on top of the popular static representations of analysis results in order to provide additional information.

Author: Shian Su, Matthew E. Ritchie, Charity Law, Stuart Lee

Maintainer: Shian Su <su.s at wehi.edu.au>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("Glimma")

 

PDF R Script Glimma Vignette
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews DifferentialExpression, GeneExpression, Microarray, RNASeq, ReportWriting, Sequencing, Software, Visualization
Version 1.6.0
In Bioconductor since BioC 3.3 (R-3.3) (2 years)
License GPL-3 | file LICENSE
Depends R (>= 3.4.0)
Imports Biobase, edgeR, grDevices, jsonlite, methods, stats, S4Vectors, utils
LinkingTo
Suggests BiocStyle, DESeq2, limma, testthat, knitr, rmarkdown
SystemRequirements
Enhances
URL https://github.com/Shians/Glimma
BugReports https://github.com/Shians/Glimma/issues
Depends On Me
Imports Me EGSEA
Suggests Me
Build Report  

Package Archives

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

Source Package Glimma_1.6.0.tar.gz
Windows Binary Glimma_1.6.0.zip
Mac OS X 10.11 (El Capitan) Glimma_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/Glimma
Package Short Url http://bioconductor.org/packages/Glimma/
Package Downloads Report Download Stats

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