BG2
Performs Bayesian GWAS analysis for non-Gaussian data using BG2
Bioconductor version: 3.23 · Package version: 1.12.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BG2") Details
| Maintainer | Jacob Williams <jwilliams@vt.edu> |
| Author | Jacob Williams [aut, cre] (ORCID: <https://orcid.org/0000-0002-6425-1365>), Shuangshuang Xu [aut], Marco Ferreira [aut] (ORCID: <https://orcid.org/0000-0002-4705-5661>) |
| License | GPL-3 + file LICENSE |
| Downloads rank | 184 |
| Source branch | RELEASE_3_23 |
| biocViews | AssayDomain, Bayesian, GenomeWideAssociation, SNP, Software |
Documentation
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Dependencies
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)
Suggests: BiocStyle, knitr, rmarkdown, formatR, rrBLUP, testthat (>= 3.0.0)