Nothing
## ----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)
## ----plotPbarleyIBD---------------------------------------------------------------------
## Plot structure of the pedigree.
plot(barleyIBD, plotType = "pedigree")
## ----winddown, include = FALSE------------------------------------------------
options(op)
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