To install this package, start R and enter:

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

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

gQTLstats

gQTLstats: computationally efficient analysis for eQTL and allied studies

Bioconductor version: Release (3.5)

computationally efficient analysis of eQTL, mQTL, dsQTL, etc.

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

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

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

To install this package, start R and enter:

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

HTML	R Script	gQTLstats: statistics for genetics of genomic features
PDF		Reference Manual
Text		NEWS

biocViews	Software
Version	1.8.0
In Bioconductor since	BioC 3.1 (R-3.2) (2.5 years)
License	Artistic-2.0
Depends	R (>= 3.1.0)
Imports	methods, snpStats, BiocGenerics, S4Vectors(>= 0.9.25), IRanges, GenomeInfoDb, GenomicFiles, GenomicRanges, SummarizedExperiment, VariantAnnotation, Biobase, BatchJobs, gQTLBase, limma, mgcv, dplyr, AnnotationDbi, GenomicFeatures, ggplot2, reshape2, doParallel, foreach, ffbase, BBmisc, beeswarm, HardyWeinberg, graphics, stats, utils, shiny, ldblock, plotly, erma
LinkingTo
Suggests	geuvPack, geuvStore2, Rsamtools, knitr, rmarkdown, ggbio, BiocStyle, Homo.sapiens, RUnit, multtest, gwascat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me	gwascat
Suggests Me
Build Report

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

Source Package	gQTLstats_1.8.0.tar.gz
Windows Binary	gQTLstats_1.8.0.zip
Mac OS X 10.11 (El Capitan)	gQTLstats_1.8.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/gQTLstats
Package Short Url	http://bioconductor.org/packages/gQTLstats/
Package Downloads Report	Download Stats

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