Importing Data from Loligo Systems Software, Calculating
Metabolic Rates and Critical Tensions

Memory-Efficient, Visualize-Enhanced, Parallel-Accelerated GWAS
Tool
c( person("Lilin", "Yin", role = "aut"),
person("Haohao", "Zhang", role = "aut"),
person("Zhenshuang", "Tang", role = "aut"),
person("Jingya", "Xu", role = "aut"),
person("Dong", "Yin", role = "aut"),
person("Zhiwu", "Zhang", role = "aut"),
person("Xiaohui", "Yuan", role = "aut"),
person("Mengjin", "Zhu", role = "aut"),
person("Shuhong", "Zhao", role = "aut"),
person("Xinyun", "Li", role = "aut"),
person("Qishan", "Wang", role = "ctb"),
person("Feng", "Tian", role = "ctb"),
person("Hyunmin", "Kang", role = "ctb"),
person("Xiang", "Zhou", role = "ctb"),
person("Xiaolei", "Liu", role = c("cre", "aut", "cph"), email = "xiaoleiliu@mail.hzau.edu.cn"))
A memory-efficient, visualize-enhanced, parallel-accelerated Genome-Wide Association Study (GWAS) tool. It can
(1) effectively process large data,
(2) rapidly evaluate population structure,
(3) efficiently estimate variance components several algorithms,
(4) implement parallel-accelerated association tests of markers three methods,
(5) globally efficient design on GWAS process computing,
(6) enhance visualization of related information.
'rMVP' contains three models GLM (Alkes Price (2006) <DOI:10.1038/ng1847>), MLM (Jianming Yu (2006) <DOI:10.1038/ng1702>)
and FarmCPU (Xiaolei Liu (2016) <doi:10.1371/journal.pgen.1005767>); variance components estimation methods EMMAX
(Hyunmin Kang (2008) <DOI:10.1534/genetics.107.080101>;), FaSTLMM (method: Christoph Lippert (2011) <DOI:10.1038/nmeth.1681>,
R implementation from 'GAPIT2': You Tang and Xiaolei Liu (2016) <DOI:10.1371/journal.pone.0107684> and
'SUPER': Qishan Wang and Feng Tian (2014) <DOI:10.1371/journal.pone.0107684>), and HE regression
(Xiang Zhou (2017) <DOI:10.1214/17-AOAS1052>).
utils, stats, methods, graphics, grDevices, Rcpp
Rcpp, RcppArmadillo, RcppEigen, RcppProgress, BH, bigmemory
Lilin Yin [aut],
Haohao Zhang [aut],
Zhenshuang Tang [aut],
Jingya Xu [aut],
Dong Yin [aut],
Zhiwu Zhang [aut],
Xiaohui Yuan [aut],
Mengjin Zhu [aut],
Shuhong Zhao [aut],
Xinyun Li [aut],
Qishan Wang [ctb],
Feng Tian [ctb],
Hyunmin Kang [ctb],
Xiang Zhou [ctb],
Xiaolei Liu [cre, aut, cph]