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snpStats

This is the development version of snpStats; for the stable release version, see snpStats.

SnpMatrix and XSnpMatrix classes and methods


Bioconductor version: Development (3.24)

Classes and statistical methods for large SNP association studies. This extends the earlier snpMatrix package, allowing for uncertainty in genotypes.

Author: David Clayton <dc208 at cam.ac.uk>

Maintainer: David Clayton <dc208 at cam.ac.uk>

Citation (from within R, enter citation("snpStats")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("snpStats")

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("snpStats")
Data input PDF R Script
Fst PDF R Script
Imputation and meta-analysis PDF R Script
LD statistics PDF R Script
Principal components analysis PDF R Script
snpMatrix-differences PDF
snpStats introduction PDF R Script
TDT tests PDF R Script
Reference Manual PDF

Details

biocViews GeneticVariability, Microarray, SNP, Software
Version 1.63.0
In Bioconductor since BioC 2.8 (R-2.13) (15.5 years)
License GPL-3
Depends R (>= 2.10.0), survival, Matrix, methods
Imports graphics, grDevices, stats, utils, BiocGenerics
System Requirements
URL
See More
Suggests hexbin
Linking To
Enhances
Depends On Me MAGAR
Imports Me cardelino, DExMA, gwascat, martini, RVS, scoreInvHap, GenomicTools.fileHandler, gpcp, GWASbyCluster, SNPkit, TriadSim
Suggests Me crlmm, GenomicFiles, GWASTools, ldblock, omicRexposome, omicsPrint, VariantAnnotation, adjclust, dartR, dartR.popgen, genio, pegas, RcppDPR, statgenGWAS
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package snpStats_1.63.0.tar.gz
Windows Binary (x86_64) snpStats_1.63.0.zip
macOS Binary (big-sur-x86_64) snpStats_1.63.0.tgz
macOS Binary (sonoma-arm64) snpStats_1.63.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/snpStats
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/snpStats
Bioc Package Browser https://code.bioconductor.org/browse/snpStats/
Package Short Url https://bioconductor.org/packages/snpStats/
Package Downloads Report Download Stats