To install this package, start R and enter:

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

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

GGtools

DOI: 10.18129/B9.bioc.GGtools

software and data for analyses in genetics of gene expression

Bioconductor version: Release (3.5)

software and data for analyses in genetics of gene expression and/or DNA methylation

Author: VJ Carey <stvjc at channing.harvard.edu>

Maintainer: VJ Carey <stvjc at channing.harvard.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("GGtools")
PDF R Script GGtools: software for eQTL identification
PDF Reference Manual
Text README
Text NEWS

Details

Version 5.12.1
In Bioconductor since BioC 1.9 (R-2.4) (11 years)
License Artistic-2.0
Depends R (>= 2.14), GGBase(>= 3.19.7), data.table, parallel, Homo.sapiens
LinkingTo
SystemRequirements
URL
Depends On Me ceu1kg, cheung2010
Imports Me ceuhm3, GeneGeneInteR
Suggests Me cgdv17, dsQTL, GGBase, gQTLBase, hmyriB36

Package Archives

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

Source Package GGtools_5.12.1.tar.gz
Windows Binary GGtools_5.12.1.zip
Mac OS X 10.11 (El Capitan) GGtools_5.12.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/GGtools
Package Downloads Report Download Stats

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