## ----setup, include = FALSE------------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.dim = c(7, 4) ) library(statgenIBD) op <- options(width = 90) ## ----inspectMap------------------------------------------------------------------------- ## Read the map and display the first rows. map <- read.table(system.file("extdata/SxM", "SxM_map.txt", package = "statgenIBD")) head(map) ## ----inspectLoc------------------------------------------------------------------------- ## Read the genotypic file and display the first rows and columns. geno <- read.table(system.file("extdata/SxM", "SxM_geno.txt", package = "statgenIBD"), header = TRUE) head(geno[, 1:5]) ## ----sxmIBD----------------------------------------------------------------------------- ## Compute IBD probabilities for Steptoe Morex. SxMIBD <- calcIBD(popType = "DH", markerFile = system.file("extdata/SxM", "SxM_geno.txt", package = "statgenIBD"), mapFile = system.file("extdata/SxM", "SxM_map.txt", package = "statgenIBD")) ## Print summary. summary(SxMIBD) ## ----check_dh001_plc-------------------------------------------------------------------- SxMIBD$markers["dh001", "plc", ] ## ----check_dh005_abg313b---------------------------------------------------------------- SxMIBD$markers["dh005", "abg313b", ] ## ----plotsxmIBDped---------------------------------------------------------------------- ### Visualize the pedigree of the population. plot(SxMIBD, plotType = "pedigree") ## ----plotsxmIBDmap---------------------------------------------------------------------- ### Visualize the genetic map. plot(SxMIBD, plotType = "map") ## ----plotsxmIBD------------------------------------------------------------------------- ## Visualize IBD probabilities for dh005. plot(SxMIBD, plotType = "singleGeno", genotype = "dh005") ## ----plotsxmIBDAll---------------------------------------------------------------------- ## Visualize IBD probabilities for all genotypes. plot(SxMIBD, plotType = "allGeno") ## ----plotsxmIBDMP----------------------------------------------------------------------- ## Visualize coverage across genome. plot(SxMIBD, plotType = "meanProbs") ## ----plotsxmIBDMPchr2------------------------------------------------------------------- ## Visualize coverage across chromosome 2. plot(SxMIBD, plotType = "meanProbs", chr = 2) ## ----plotsxmIBDtotCov------------------------------------------------------------------- ## Visualize coverage across genome. plot(SxMIBD, plotType = "totalCoverage") ## ----sxmIBD_extGrid--------------------------------------------------------------------- ## Compute IBD probabilities for Steptoe Morex. ## Add extra evaluation positions on dense grid. SxMIBD_Ext_grid <- calcIBD(popType = "DH", markerFile = system.file("extdata/SxM", "SxM_geno.txt", package = "statgenIBD"), mapFile = system.file("extdata/SxM", "SxM_map.txt", package = "statgenIBD"), evalDist = 1, grid = TRUE) ## Print summary. summary(SxMIBD_Ext_grid) ## ----SxMIBD_Ext_grid-------------------------------------------------------------------- ## Visualize IBD probabilities for dh005 plot(SxMIBD_Ext_grid, genotype = "dh005") ## ----sxmIBD_ext------------------------------------------------------------------------- ## Compute IBD probabilities for Steptoe Morex. ## Add extra evaluation positions between existing markers. SxMIBD_Ext <- calcIBD(popType = "DH", markerFile = system.file("extdata/SxM", "SxM_geno.txt", package = "statgenIBD"), mapFile = system.file("extdata/SxM", "SxM_map.txt", package = "statgenIBD"), evalDist = 5, grid = FALSE) ## Print summary. summary(SxMIBD_Ext) ## ----sxmIBD_ext_map--------------------------------------------------------------------- ## Show first rows of map in output. head(SxMIBD_Ext$map) ## ----inspectPosFile--------------------------------------------------------------------- ## Read the evalPos file and display the first rows. evalPos <- read.table(system.file("extdata/SxM", "SxM_eval.txt", package = "statgenIBD"), header = TRUE) head(evalPos) ## ----sxmIBD_posFile--------------------------------------------------------------------- SxMIBD_evalPos <- calcIBD(popType = "DH", markerFile = system.file("extdata/SxM", "SxM_geno.txt", package = "statgenIBD"), mapFile = system.file("extdata/SxM", "SxM_map.txt", package = "statgenIBD"), evalPos = evalPos) ## Print summary. summary(SxMIBD_evalPos) ## ----SxMProbs_one----------------------------------------------------------------------- ## Extract marker probabilities for markers plc and ABG053. SxM_probs <- getProbs(SxMIBD, markers = c("plc", "ABG053")) head(SxM_probs) ## ----SxMwriteIBD, eval=FALSE------------------------------------------------------------ # ## Write IBDs to tab-delimited .txt file. # writeIBDs(SxMIBD_Ext, "SxMIBD_Ext.txt") ## ----SxMreadIBD, eval=FALSE------------------------------------------------------------- # ## Read IBDs from tab-delimited .txt file. # SxMIBD_Ext <- readIBDs("SxMIBD_Ext.txt", map = SxMIBD_Ext$map) # summary(SxMIBD_Ext) ## ----SxMwriteFlapjack, eval=FALSE------------------------------------------------------- # ## Write results to Flapjack format. # writeFlapjack(SxMIBD_Ext, # outFileMap = "map.txt", # outFileGeno = "geno.txt") ## ----F4IBD------------------------------------------------------------------------------ ## Compute IBD probabilities for simulated F4 population. F4IBD <- calcIBD(popType = "F4", markerFile = system.file("extdata/popF4", "cross.txt", package = "statgenIBD"), mapFile = system.file("extdata/popF4", "mapfile.txt", package = "statgenIBD")) ## Print summary. summary(F4IBD) ## ----F4Probs---------------------------------------------------------------------------- ## Extract marker probabilities for markers M1_2 and M1_4. F4_probs <- getProbs(F4IBD, markers = c("M1_2", "M1_4")) head(F4_probs) ## ----F4Probs_sum------------------------------------------------------------------------ ## Extract marker probabilities for markers M1_2 and M1_4. ## Sum the probabilities to probabilities per parent. F4_probs_sum <- getProbs(F4IBD, markers = c("M1_2", "M1_4"), sumProbs = TRUE) head(F4_probs_sum) ## ----C3S4DHIBD-------------------------------------------------------------------------- ## Compute IBD probabilities for simulated C4S3 population. C4S3IBD <- calcIBD(popType = "C4S3", markerFile = system.file("extdata/popC4S3", "cross.txt", package = "statgenIBD"), mapFile = system.file("extdata/popC4S3", "mapfile.txt", package = "statgenIBD")) ## Print summary. summary(C4S3IBD) ## ----multiIBD--------------------------------------------------------------------------- ## Compute IBD probabilties for AxB. AB <- calcIBD(popType = "F4DH", markerFile = system.file("extdata/multipop", "AxB.txt", package = "statgenIBD"), mapFile = system.file("extdata/multipop", "mapfile.txt", package = "statgenIBD"), evalDist = 1) ## Print summary. summary(AB) ## Compute IBD probabilties for AxC. AC <- calcIBD(popType = "F4DH", markerFile = system.file("extdata/multipop", "AxC.txt", package = "statgenIBD"), mapFile = system.file("extdata/multipop", "mapfile.txt", package = "statgenIBD"), evalDist = 1) ## Print summary. summary(AC) ## ----combineIBD------------------------------------------------------------------------- ABC <- c(AB, AC) summary(ABC) ## ----checkMultiIBD---------------------------------------------------------------------- ## Extract probabilities for markers EXT_1_1 and EXT_1_3. ABCProbs <- getProbs(ABC, markers = c("EXT_1_1", "EXT_1_3")) ## Print probabilities for genotypes AxB0001 and AxC0001. ABCProbs[ABCProbs$geno %in% c("AxB0001", "AxC0001"), ] ## ----plotMultiIBD, fig.show="hold", out.width="47%"------------------------------------- plot(ABC, genotype = "AxB0001") plot(ABC, genotype = "AxC0001") ## ----plotMultiIBDAll-------------------------------------------------------------------- plot(ABC, plotType = "allGeno") ## ----barleyIBD-------------------------------------------------------------------------- ## Specify files containing RABBIT output. ## Extract in a temporary directory. tempDir <- tempdir() inFile <- unzip(system.file("extdata/barley/barley_magicReconstruct.zip", package = "statgenIBD"), exdir = tempDir) ## Specify pedigree file. pedFile <- system.file("extdata/barley/barley_pedInfo.csv", package = "statgenIBD") ## read RABBIT output. barleyIBD <- readRABBIT(infile = inFile, pedFile = pedFile) ## ----sumPbarleyIBD---------------------------------------------------------------------- ## Summary. summary(barleyIBD) ## ----winddown, include = FALSE------------------------------------------------ options(op)