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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
|
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see GWASTools.
Tools for Genome Wide Association Studies
Bioconductor version: 3.4
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")
| R Script | Data formats in GWASTools | |
| R Script | GWAS Data Cleaning | |
| R Script | Preparing Affymetrix Data | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | GeneticVariability, Microarray, QualityControl, SNP, Software |
| Version | 1.20.0 |
| In Bioconductor since | BioC 2.9 (R-2.14) (5.5 years) |
| License | Artistic-2.0 |
| Depends | Biobase |
| Imports | graphics, stats, utils, methods, ncdf4, gdsfmt, DBI, RSQLite, GWASExactHW, DNAcopy, survival, sandwich, lmtest, logistf, quantsmooth |
| LinkingTo | |
| Suggests | GWASdata, BiocGenerics, RUnit, SNPRelate, snpStats, VariantAnnotation |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | GWASdata |
| Imports Me | GENESIS |
| Suggests Me | podkat |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | GWASTools_1.20.0.tar.gz |
| Windows Binary | GWASTools_1.20.0.zip |
| Mac OS X 10.9 (Mavericks) | GWASTools_1.20.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/GWASTools/tree/release-3.4 |
| Package Short Url | http://bioconductor.org/packages/GWASTools/ |
| Package Downloads Report | Download Stats |
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