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BG2

This is the released version of BG2; for the devel version, see BG2.

Performs Bayesian GWAS analysis for non-Gaussian data using BG2


Bioconductor version: Release (3.23)

This package is built to perform GWAS analysis for non-Gaussian data using BG2. The BG2 method uses penalized quasi-likelihood along with nonlocal priors in a two step manner to identify SNPs in GWAS analysis. The research related to this package was supported in part by National Science Foundation awards DMS 1853549 and DMS 2054173.

Author: Jacob Williams [aut, cre] ORCID iD ORCID: 0000-0002-6425-1365 , Shuangshuang Xu [aut], Marco Ferreira [aut] ORCID iD ORCID: 0000-0002-4705-5661

Maintainer: Jacob Williams <jwilliams at vt.edu>

Citation (from within R, enter citation("BG2")):
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")

BiocManager::install("BG2")

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("BG2")
BG2 HTML R Script
Reference Manual PDF
LICENSE Text

Details

biocViews AssayDomain, Bayesian, GenomeWideAssociation, SNP, Software
Version 1.12.0
In Bioconductor since BioC 3.17 (R-4.3) (3.5 years)
License GPL-3 + file LICENSE
Depends R (>= 4.2.0)
Imports GA (>= 3.2), caret (>= 6.0-86), memoise (>= 1.1.0), Matrix (>= 1.2-18), MASS (>= 7.3-58.1), stats (>= 4.2.2)
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Suggests BiocStyle, knitr, rmarkdown, formatR, rrBLUP, testthat (>= 3.0.0)
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Package Archives

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

Source Package BG2_1.12.0.tar.gz
Windows Binary (x86_64) BG2_1.12.0.zip
macOS Binary (big-sur-x86_64) BG2_1.12.0.tgz
macOS Binary (sonoma-arm64) BG2_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/BG2
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BG2
Bioc Package Browser https://code.bioconductor.org/browse/BG2/
Package Short Url https://bioconductor.org/packages/BG2/
Package Downloads Report Download Stats