Man pages for KosukeHamazaki/RAINBOW
Genome-Wide Association Study with SNP-Set Methods

calcGRMFunction to calculate genomic relationship matrix (GRM)
CalcThresholdFunction to calculate threshold for GWAS
cumsumPosFunction to calculate cumulative position (beyond chromosome)
design.ZFunction to generate design matrix (Z)
EM3.cppEquation of mixed model for multi-kernel (slow, general...
EM3.linker.cppEquation of mixed model for multi-kernel (fast, for limited...
EMM1.cppEquation of mixed model for one kernel, GEMMA-based method...
EMM2.cppEquation of mixed model for one kernel, EMMA-based method...
EMM.cppEquation of mixed model for one kernel, a wrapper of two...
estNetworkFunction to estimate & plot haplotype network
estPhyloFunction to estimate & plot phylogenetic tree
genesetmapFunction to generate map for gene set
genetraitGenerate pseudo phenotypic values
MAF.cutFunction to remove the minor alleles
make.fullChange a matrix to full-rank matrix
manhattanDraw manhattan plot
manhattan2Draw manhattan plot (another method)
manhattan3Draw the effects of epistasis (3d plot and 2d plot)
manhattan.plusAdd points of -log10(p) corrected by kernel methods to...
modify.dataFunction to modify genotype and phenotype data to match
plotHaploNetworkFunction to plot haplotype network from the estimated results
plotPhyloTreeFunction to plot phylogenetic tree from the estimated results
qqDraw qq plot
RAINBOWRAINBOW: Perform Genome-Wide Asscoiation Study (GWAS) By...
RGWAS.epistasisCheck epistatic effects by kernel-based GWAS (genome-wide...
RGWAS.menuPrint the R code which you should perform for RAINBOW GWAS
RGWAS.multisnpTesting multiple SNPs simultaneously for GWAS
RGWAS.normalPerform normal GWAS (test each single SNP)
RGWAS.twostepPerform normal GWAS (genome-wide association studies) first,...
RGWAS.twostep.epiPerform normal GWAS (genome-wide association studies) first,...
Rice_geno_mapPhysical map of rice genome
Rice_geno_scoreMarker genotype of rice genome
Rice_phenoPhenotype data of rice field trial
Rice_Zhao_etalRice_Zhao_etal:
score.calcCalculate -log10(p) for single-SNP GWAS
score.calc.epistasis.LRCalculate -log10(p) of epistatic effects by LR test
score.calc.epistasis.scoreCalculate -log10(p) of epistatic effects with score test
score.calc.LRCalculate -log10(p) of each SNP-set by the LR test
score.calc.LR.MCCalculate -log10(p) of each SNP-set by the LR test...
score.calc.MCCalculate -log10(p) for single-SNP GWAS (multi-cores)
score.calc.scoreCalculate -log10(p) of each SNP-set by the score test
score.calc.score.MCCalculate -log10(p) of each SNP-set by the score test...
score.cppCalculte -log10(p) by score test (slow, for general cases)
score.linker.cppCalculte -log10(p) by score test (fast, for limited cases)
SeeFunction to view the first part of data (like head(), tail())
spectralG.cppPerform spectral decomposition (inplemented by Rcpp)
SS_gwasCalculate some summary statistics of GWAS (genome-wide...
welcome_to_RGWASFunction to greet to users
KosukeHamazaki/RAINBOW documentation built on Dec. 12, 2020, 8:35 p.m.