## ----------------------------------------------------------------------------- library("optiSel") data(Cattle) phen <- Cattle head(phen) ## ----------------------------------------------------------------------------- table(phen$Breed) ## ----------------------------------------------------------------------------- data(map) head(map) ## ----------------------------------------------------------------------------- tapply(map$Mb, map$Chr, max) ## ----------------------------------------------------------------------------- dir <- system.file("extdata", package="optiSel") GTfiles <- file.path(dir, paste("Chr", unique(map$Chr), ".phased", sep="")) ## ----results="hide"----------------------------------------------------------- Animal <- segInbreeding(GTfiles, map, minSNP=20, minL=1.0) ## ----------------------------------------------------------------------------- head(Animal) ## ----results="hide"----------------------------------------------------------- sKin <- segIBD(GTfiles, map, minSNP=20, minL=1.0) ## ----------------------------------------------------------------------------- sKin[1:3,1:3] ## ----------------------------------------------------------------------------- Males <- phen$Indiv[phen$Sex=="male" & phen$Breed=="Angler" & phen$BV>2.0] sKin[Males, "Angler2", drop=FALSE] ## ----------------------------------------------------------------------------- D <- sim2dis(sKin, a=6.0, baseF=0.03, method=1) color <- c(Angler="red", Rotbunt="green", Fleckvieh="blue", Holstein="black") col <- color[phen[rownames(D), "Breed"]] Res <- cmdscale(D) plot(Res, pch=18, col=col, main="Multidimensional Scaling", cex=0.5, xlab="",ylab="", asp=1) ## ----fig.width = 5, results="hide"-------------------------------------------- Haplo <- haplofreq(GTfiles, phen, map, thisBreed="Angler", refBreeds="Rotbunt", minL=1.0) plot(Haplo, ID="Angler1", hap=2) ## ----fig.width = 5, results="hide"-------------------------------------------- Haplo <- freqlist( haplofreq(GTfiles, phen, map, thisBreed="Angler", refBreeds="Rotbunt", minL=1.0), haplofreq(GTfiles, phen, map, thisBreed="Angler", refBreeds="Holstein", minL=1.0), haplofreq(GTfiles, phen, map, thisBreed="Angler", refBreeds="Fleckvieh", minL=1.0) ) plot(Haplo, ID=1, hap=2, refBreed="Rotbunt") ## ----results="hide"----------------------------------------------------------- Haplo <- haplofreq(GTfiles, phen, map, thisBreed="Angler", refBreeds="others", minL=2.5) ## ----------------------------------------------------------------------------- Haplo$freq[1:10,1:3] ## ----------------------------------------------------------------------------- Haplo$match[1:10,1:3] ## ----results="hide"----------------------------------------------------------- wdir <- file.path(tempdir(), "HaplotypeEval") wfile <- haplofreq(GTfiles, phen, map, thisBreed="Angler", minL=1.0, w.dir=wdir) ## ----------------------------------------------------------------------------- Comp <- segBreedComp(Haplo$match, map) head(Comp[,-1]) ## ----------------------------------------------------------------------------- Average <- apply(Comp[,-1],2,mean) round(Average, 3) ## ----results="hide"----------------------------------------------------------- sKinatN <- segIBDatN(GTfiles, phen, map, thisBreed="Angler", minL=1.0) ## ----------------------------------------------------------------------------- sKinatN$of <- sKinatN$Q1/sKinatN$Q2 sKinatN$of["Angler2", "Angler4"] ## ----------------------------------------------------------------------------- keep <- phen$Indiv[phen$Breed=="Angler"] 1 - mean(sKin[keep, keep]) ## ----------------------------------------------------------------------------- sKinatN$mean ## ----------------------------------------------------------------------------- 1 - sKinatN$mean ## ----results="hide"----------------------------------------------------------- sKin <- segIBD(GTfiles, map, minSNP=20, minL=1.0) ## ----------------------------------------------------------------------------- CoreSet <- opticomp(sKin, phen) round(CoreSet$f, 3) ## ----------------------------------------------------------------------------- round(CoreSet$Dist, 3) ## ----------------------------------------------------------------------------- CoreSet <- opticomp(sKin, phen) CoreSet$bc ## ----------------------------------------------------------------------------- CoreSet$value ## ----------------------------------------------------------------------------- CoreSet <- opticomp(sKin, phen, ub=c(Angler=0)) CoreSet$bc ## ----------------------------------------------------------------------------- CoreSet$value