To install this package, start R and enter:

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

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

GWASTools

   

Tools for Genome Wide Association Studies

Bioconductor version: 3.2

Classes for storing very large GWAS data sets and annotation, and functions for GWAS data cleaning and analysis.

Author: Stephanie M. Gogarten, Cathy Laurie, Tushar Bhangale, Matthew P. Conomos, Cecelia Laurie, Caitlin McHugh, Ian Painter, Xiuwen Zheng, Jess Shen, Rohit Swarnkar, Adrienne Stilp, Sarah Nelson

Maintainer: Stephanie M. Gogarten <sdmorris at u.washington.edu>, Adrienne Stilp <amstilp at u.washington.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("GWASTools")

 

PDF Data formats in GWASTools
PDF GWAS Data Cleaning
PDF Preparing Affymetrix Data
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneticVariability, Microarray, QualityControl, SNP, Software
Version 1.16.1
In Bioconductor since BioC 2.9 (R-2.14) (4.5 years)
License Artistic-2.0
Depends Biobase
Imports methods, ncdf, gdsfmt, DBI, RSQLite, GWASExactHW, DNAcopy, survival, sandwich, lmtest, logistf, quantsmooth
LinkingTo
Suggests GWASdata, BiocGenerics, RUnit, SNPRelate, snpStats, VariantAnnotation
SystemRequirements
Enhances
URL
Depends On Me GENESIS, GWASdata
Imports Me
Suggests Me podkat
Build Report  

Package Archives

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

Package Source GWASTools_1.16.1.tar.gz
Windows Binary GWASTools_1.16.1.zip
Mac OS X 10.6 (Snow Leopard) GWASTools_1.16.1.tgz
Mac OS X 10.9 (Mavericks) GWASTools_1.16.1.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GWASTools/tree/release-3.2
Package Short Url http://bioconductor.org/packages/GWASTools/
Package Downloads Report Download Stats

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