| Literature DB >> 28132152 |
Julio Isidro-Sánchez1, Deniz Akdemir2, Gracia Montilla-Bascón2.
Abstract
This chapter provides a practical overview of the statistical analysis using R [1] and genotype by sequencing (GBS) markers for genome-wide association studies (GWAS) in oats. Statistical analysis is performed by R package rrBLUP [2] and issues associated with the analysis are addressed along with the R code. The ultimate aim of this chapter is to provide a practical guideline to do GWAS analysis using R, rather than describe the theory in depth. For more details about the subject, readers are referred to the excellent resource book in GWAS [3]. A basic programming experience in R is assumed.Entities:
Keywords: Bonferroni correction; False discovery rate; GWAS; Linkage disequilibrium; Population structure
Mesh:
Year: 2017 PMID: 28132152 DOI: 10.1007/978-1-4939-6682-0_14
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745