GWASTools
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see GWASTools.
Tools for Genome Wide Association Studies
Bioconductor version: 3.19
Classes for storing very large GWAS data sets and annotation, and functions for GWAS data cleaning and analysis.
Author: Stephanie M. Gogarten [aut], Cathy Laurie [aut], Tushar Bhangale [aut], Matthew P. Conomos [aut], Cecelia Laurie [aut], Michael Lawrence [aut], Caitlin McHugh [aut], Ian Painter [aut], Xiuwen Zheng [aut], Jess Shen [aut], Rohit Swarnkar [aut], Adrienne Stilp [aut], Sarah Nelson [aut], David Levine [aut], Sonali Kumari [ctb] (Converted vignettes from Sweave to RMarkdown / HTML.), Stephanie M. Gogarten [cre]
Maintainer: Stephanie M. Gogarten <sdmorris at uw.edu>
citation("GWASTools")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GWASTools")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GWASTools")
Data formats in GWASTools | R Script | |
GWAS Data Cleaning | R Script | |
Preparing Affymetrix Data | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | GeneticVariability, Microarray, QualityControl, SNP, Software |
Version | 1.50.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (13 years) |
License | Artistic-2.0 |
Depends | Biobase |
Imports | graphics, stats, utils, methods, gdsfmt, DBI, RSQLite, GWASExactHW, DNAcopy, survival, sandwich, lmtest, logistf, quantsmooth, data.table |
System Requirements | |
URL | https://github.com/smgogarten/GWASTools |
See More
Suggests | ncdf4, GWASdata, BiocGenerics, RUnit, Biostrings, GenomicRanges, IRanges, SNPRelate, snpStats, S4Vectors, VariantAnnotation, parallel, BiocStyle, knitr |
Linking To | |
Enhances | |
Depends On Me | mBPCR, GWASdata, snplinkage |
Imports Me | GENESIS, gwasurvivr |
Suggests Me | podkat |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | GWASTools_1.50.0.tar.gz |
Windows Binary (x86_64) | GWASTools_1.50.0.zip |
macOS Binary (x86_64) | GWASTools_1.50.0.tgz |
macOS Binary (arm64) | GWASTools_1.50.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GWASTools |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GWASTools |
Bioc Package Browser | https://code.bioconductor.org/browse/GWASTools/ |
Package Short Url | https://bioconductor.org/packages/GWASTools/ |
Package Downloads Report | Download Stats |