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.
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This package is for version 2.9 of Bioconductor; for the stable, up-to-date release version, see GWASTools.
Bioconductor version: 2.9
Classes for storing very large GWAS data sets and annotation, and functions for GWAS data cleaning and analysis.
Author: Stephanie Gogarten, Cathy Laurie, Tushar Bhangale, Matt Conomos, Cecilia Laurie, Caitlin McHugh, Ian Painter, Xiuwen Zheng, Rohit Swarnkar
Maintainer: Stephanie Gogarten <sdmorris at u.washington.edu>
Citation (from within R,
enter citation("GWASTools")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GWASTools")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GWASTools")
| DataCleaning.pdf | ||
| Reference Manual |
| biocViews | GeneticVariability, Microarray, QualityControl, SNP, Software |
| Version | 1.0.0 |
| In Bioconductor since | BioC 2.9 (R-2.14) (4.5 years) |
| License | Artistic-2.0 |
| Depends | Biobase, ncdf, GWASExactHW, sandwich |
| Imports | methods, DBI, RSQLite, DNAcopy, survival |
| LinkingTo | |
| Suggests | GWASdata, RUnit, gdsfmt, SNPRelate |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | GWASdata |
| Imports Me | |
| Suggests Me | |
| Build Report |
Follow Installation instructions to use this package in your R session.
| Package Source | GWASTools_1.0.0.tar.gz |
| Windows Binary | GWASTools_1.0.0.zip |
| Mac OS X 10.6 (Snow Leopard) | |
| Mac OS X 10.9 (Mavericks) | |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/GWASTools/tree/release-2.9 |
| Package Short Url | http://bioconductor.org/packages/GWASTools/ |
| Package Downloads Report | Download Stats |
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