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GWASTools

This is thereleased version of GWASTools; for the devel version, seeGWASTools.

Tools for Genome Wide Association Studies

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DOI: 10.18129/B9.bioc.GWASTools


Bioconductor version: Release (3.22)

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, entercitation("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 appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GWASTools")
Data formats in GWASToolsPDFR Script
GWAS Data CleaningPDFR Script
Preparing Affymetrix DataHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGeneticVariability,Microarray,QualityControl,SNP,Software
Version1.56.0
In Bioconductor sinceBioC 2.9 (R-2.14) (14 years)
LicenseArtistic-2.0
DependsBiobase
Importsgraphics, stats, utils, methods,gdsfmt,DBI,RSQLite,GWASExactHW,DNAcopy,survival,sandwich,lmtest,logistf,quantsmooth,data.table
System Requirements
URLhttps://github.com/smgogarten/GWASTools
See More
Suggestsncdf4,GWASdata,BiocGenerics,RUnit,Biostrings,GenomicRanges,IRanges,SNPRelate,snpStats,S4Vectors,VariantAnnotation, parallel,BiocStyle,knitr
Linking To
Enhances
Depends On MemBPCR,GWASdata,snplinkage
Imports MeGENESIS,gwasurvivr
Suggests Mepodkat
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageGWASTools_1.56.0.tar.gz
Windows Binary (x86_64) GWASTools_1.56.0.zip
macOS Binary (x86_64)GWASTools_1.56.0.tgz
macOS Binary (arm64)GWASTools_1.56.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/GWASTools
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/GWASTools
Bioc Package Browserhttps://code.bioconductor.org/browse/GWASTools/
Package Short Urlhttps://bioconductor.org/packages/GWASTools/
Package Downloads ReportDownload Stats

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