Rice_pheno

A dataset containing the information of phenotype data of rice field trial (Zhao et al., 2011; Nat Comm 2:467).

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>.

Kosuke Hamazaki

RAINBOWR

Genome-Wide Association Study with SNP-Set Methods

Hiroyoshi Iwata

Rice_pheno function

A data frame with 413 rows and 36 variables:<dl>
 Phenotypic data of 36 traits obtained by the field trial with 413 genotypes.</dl>

Format

Phenotype data of rice field trial — Rice_pheno

A data frame with 413 rows and 36 variables:<dl>
 Phenotypic data of 36 traits obtained by the field trial with 413 genotypes.

</dl>

Rice_pheno: Phenotype data of rice field trial

Description

Arguments

Format

References