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Bioconductor - GWASTools

GWASTools

This is the released version of GWASTools; for the devel version, see GWASTools.

Tools for Genome Wide Association Studies

Bioconductor version: Release (3.21)

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 (from within R, enter citation("GWASTools")): Installation

To install this package, start R (version "4.5") 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")

Details biocViews GeneticVariability, Microarray, QualityControl, SNP, Software Version 1.54.0 In Bioconductor since BioC 2.9 (R-2.14) (13.5 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.

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