Bioconductor version: Release (3.6)
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, Michael Lawrence, Caitlin McHugh, Ian Painter, Xiuwen Zheng, Jess Shen, Rohit Swarnkar, Adrienne Stilp, Sarah Nelson
Maintainer: Stephanie M. Gogarten <sdmorris at uw.edu>, Adrienne Stilp <amstilp at uw.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")
R Script | Data formats in GWASTools | |
R Script | GWAS Data Cleaning | |
R Script | Preparing Affymetrix Data | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneticVariability, Microarray, QualityControl, SNP, Software |
Version | 1.24.1 |
In Bioconductor since | BioC 2.9 (R-2.14) (6.5 years) |
License | Artistic-2.0 |
Depends | Biobase |
Imports | graphics, stats, utils, methods, gdsfmt, DBI, RSQLite, GWASExactHW, DNAcopy, survival, sandwich, lmtest, logistf, quantsmooth |
LinkingTo | |
Suggests | ncdf4, GWASdata, BiocGenerics, RUnit, Biostrings, GenomicRanges, IRanges, SNPRelate, snpStats, S4Vectors, VariantAnnotation |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | GWASdata |
Imports Me | GENESIS |
Suggests Me | podkat |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | GWASTools_1.24.1.tar.gz |
Windows Binary | GWASTools_1.24.1.zip |
Mac OS X 10.11 (El Capitan) | GWASTools_1.24.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GWASTools |
Package Short Url | http://bioconductor.org/packages/GWASTools/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.6 | Source Archive |
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