Bioconductor version: Release (2.12)
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
Maintainer: Stephanie M. Gogarten <sdmorris at u.washington.edu>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("GWASTools")
To cite this package in a publication, start R and enter:
citation("GWASTools")
R Script | Converting VCF data for use in 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 | 1.6.5 |
In Bioconductor since | BioC 2.9 (R-2.14) |
License | Artistic-2.0 |
Depends | Biobase, ncdf, gdsfmt, sandwich |
Imports | methods, DBI, RSQLite, GWASExactHW, DNAcopy, survival, lmtest, quantsmooth |
Suggests | GWASdata, BiocGenerics, RUnit, SNPRelate, snpStats, VariantAnnotation |
System Requirements | |
URL | |
Depends On Me | GWASdata |
Imports Me | |
Suggests Me |
Package Source | GWASTools_1.6.5.tar.gz |
Windows Binary | GWASTools_1.6.5.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | GWASTools_1.6.5.tgz |
Package Downloads Report | Download Stats |
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