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")):

Installation

To install this package, start R and enter:

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

Documentation

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

Details

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  

Package Archives

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

Package Source 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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