To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

GenVisR

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see GenVisR.

Genomic Visualizations in R

Bioconductor version: 3.4

Produce highly customizable publication quality graphics for genomic data primarily at the cohort level.

Author: Zachary Skidmore [aut, cre], Alex Wagner [aut], Robert Lesurf [aut], Katie Campbell [aut], Jason Kunisaki [aut], Obi Griffith [aut], Malachi Griffith [aut]

Maintainer: Zachary Skidmore <zlskidmore at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

HTML R Script GenVisR: An introduction
HTML R Script waterfall: function introduction
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews Classification, DNASeq, DataRepresentation, Infrastructure, Software
Version 1.4.1
In Bioconductor since BioC 3.3 (R-3.3) (1 year)
License GPL-3 + file LICENSE
Depends R (>= 3.3.0)
Imports AnnotationDbi, biomaRt, BiocGenerics, Biostrings, DBI, FField, GenomicFeatures, GenomicRanges, ggplot2 (>= 2.1.0), grid, gridExtra, gtable, gtools, IRanges, plyr (>= 1.8.3), reshape2, Rsamtools, scales, stats, utils, viridis
LinkingTo
Suggests BiocStyle, BSgenome.Hsapiens.UCSC.hg19, knitr, RMySQL, roxygen2, testthat, TxDb.Hsapiens.UCSC.hg19.knownGene, rmarkdown
SystemRequirements
Enhances
URL
BugReports https://github.com/griffithlab/GenVisR/issues
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source GenVisR_1.4.1.tar.gz
Windows Binary GenVisR_1.4.1.zip
Mac OS X 10.9 (Mavericks) GenVisR_1.4.1.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GenVisR/tree/release-3.4
Package Short Url http://bioconductor.org/packages/GenVisR/
Package Downloads Report Download Stats

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