segN: Calculates Probabilities of Alleles to belong to Native...

Description Usage Arguments Details Value Author(s) Examples

Description

Segment based probability of alleles to be Native: For each pair of individuals the probability is computed that two SNPs taken at random position from randomly chosen haplotypes both belong to native segments.

Usage

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segN(Native, map, unitP="Mb", keep=NULL, cores=1)

Arguments

Native

This parameter is either

(1) Mx(2N) indicator matrix, with 1, if the segment containing the SNP is considered native, and 0 otherwise. The row names are the marker names, and the non-unique column names are the IDs of the individuals. The matrix is typically computed from the output of function haplofreq.

or

(2) Vector with file names. The files contain for every SNP and for each haplotype from this breed 1 if the segment containing the SNP is considered native. These files are typically created by function haplofreq. There is one file per chromosome and file names must contain the chromosome name as specified in the map in the form "ChrNAME.", e.g. "Breed2.Chr1.nat".

map

Data frame providing the marker map with columns including marker name 'Name', chromosome number 'Chr', and possibly the position on the chromosome in Mega base pairs 'Mb', and the position in centiMorgan 'cM'. The markers must be in the same order as in Native.

unitP

The unit for measuring the proportion of the genome included in native segments. Possible units are the number of marker SNPs included in shared segments ('SNP'), the number of Mega base pairs ('Mb'), and the total length of the shared segments in centimorgan ('cM'). In the last two cases the map must include columns with the respective names.

keep

Vector with IDs of individuals (from this breed) for which the probabilities are to be computed. By default, they will be computed for all individuals included in Native.

cores

Number of cores to be used for parallel processing of chromosomes. By default one core is used. For cores=NA the number of cores will be chosen automatically. Using more than one core increases execution time if the function is already fast.

Details

For each pair of individuals the probability is computed that two SNPs taken at random position from randomly chosen haplotypes both belong to native segments. That is, they are not introgressed from other breeds.

Value

NxN matrix with N being the number of genotyped individuals from this breed (which are also included in vector keep).

Author(s)

Robin Wellmann

Examples

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data(map)
data(Cattle)
dir   <- system.file("extdata", package = "optiSel")
files <- file.path(dir, paste("Chr", unique(map$Chr), ".phased", sep=""))
Freq  <- haplofreq(files, Cattle, map, thisBreed="Angler", refBreeds="others", minSNP=20)$freq
fN   <- segN(Freq<0.01, map)
mean(fN)
#[1] 0.15418

## Not run: 
fN   <- segN(Freq<0.01, map, cores=NA)
mean(fN)
#[1] 0.15418

## End(Not run)


## using files:
## Not run: 
wdir   <- file.path(tempdir(),"HaplotypeEval")
chr    <- unique(map$Chr)
GTfile <- file.path( dir, paste("Chr", chr, ".phased",     sep=""))
files  <- haplofreq(GTfile, Cattle, map, thisBreed="Angler", w.dir=wdir)

fN     <- segN(files$match, map)
mean(fN)
#[1] 0.15418

fN     <- segN(files$match, map, cores=NA)
mean(fN)
#[1] 0.15418

#unlink(wdir, recursive = TRUE)

## End(Not run)

optiSel documentation built on Jan. 16, 2021, 5:30 p.m.