snpStats
SnpMatrix and XSnpMatrix classes and methods
Bioconductor version: 3.24 · Package version: 1.63.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Classes and statistical methods for large SNP association studies. This extends the earlier snpMatrix package, allowing for uncertainty in genotypes.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("snpStats") Details
| Maintainer | David Clayton <dc208@cam.ac.uk> |
| Author | David Clayton <dc208@cam.ac.uk> |
| License | GPL-3 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | GeneticVariability, Microarray, SNP, Software |
| Package Short Url | https://bioconductor.org/packages/snpStats/ |
Citation
From within R, enter citation("snpStats"):
David Clayton. snpStats: SnpMatrix and XSnpMatrix classes and methods. doi:10.18129/B9.bioc.snpStats, R package version 1.63.0, https://bioconductor.org/packages/snpStats.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
- Data input
- Fst
- Imputation and meta-analysis
- LD statistics
- Principal components analysis
- snpMatrix-differences
- snpStats introduction
- TDT tests
Download
Follow the 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 (arm64) | snpStats_1.63.0.tgz |
| macOS binary (x86_64) | snpStats_1.63.0.tgz |
Dependencies
Depends: R (>= 2.10.0), survival, Matrix, methods
Imports: graphics, grDevices, stats, utils, BiocGenerics
Suggests: hexbin
Reverse dependencies
Depends On Me (1): MAGAR
Imports Me (12): cardelino, dartR.base, DExMA, GenomicTools.fileHandler, gpcp, GWASbyCluster, gwascat, martini, RVS, scoreInvHap, SNPkit, TriadSim
Suggests Me (14): adjclust, crlmm, dartR, dartR.popgen, genio, GenomicFiles, GWASTools, ldblock, omicRexposome, omicsPrint, pegas, RcppDPR, statgenGWAS, VariantAnnotation