KosukeHamazaki/RAINBOWR: Genome-Wide Association Study with SNP-Set Methods

By using 'RAINBOWR' (Reliable Association INference By Optimizing Weights with R), users can test multiple SNPs (Single Nucleotide Polymorphisms) simultaneously by kernel-based (SNP-set) methods. This package can also be applied to haplotype-based GWAS (Genome-Wide Association Study). Users can test not only additive effects but also dominance and epistatic effects. In detail, please check our paper on PLOS Computational Biology: Kosuke Hamazaki and Hiroyoshi Iwata (2020) <doi:10.1371/journal.pcbi.1007663>.

Getting started

Package details

MaintainerKosuke Hamazaki <hamazaki@ut-biomet.org>
LicenseMIT + file LICENSE
Version0.1.37
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("KosukeHamazaki/RAINBOWR")
KosukeHamazaki/RAINBOWR documentation built on Dec. 9, 2024, 12:06 a.m.