guessSomatic <- function(file, annotCol=7, depth = 10, countsToCall = 5, total = TRUE, callheteroThr=0.2, plot=T) {
gatk_ai <- readGATK.AllelicImbalance(file=file, annotCol = annotCol)
gatk_ai <- filter_by_overall_depth(gatk_ai, depth = depth)
keep = gatk_ai$alleleAnnot$chr != "chrX" & gatk_ai$alleleAnnot$chr != "chrY"
gatk_ai_nox <- filter_rows(gatk_ai, keep)
aiGenes <- computeAlleleRatios(gatk_ai_nox,
countsToCall = countsToCall,
total = total)
aiGenes <- callHetero(aiGenes, thr = callheteroThr)
keepSNPDB = aiGenes$annot$id != "."
aiGenes <- filter_rows(aiGenes, keepSNPDB)
igenes <- callHeteroSNPperGene(aiGenes)
plot_guessedLOI(igenes, plot=plot)
}
createDatasets <- function(file, annotCol=7, depth = 10, countsToCall = 5, total = TRUE, callheteroThr=0.2) {
gatk_ai <- readGATK.AllelicImbalance(file=file, annotCol = annotCol)
gatk_ai <- filter_by_overall_depth(gatk_ai, depth = depth)
## Sexual
keep = gatk_ai$alleleAnnot$chr == "X" | gatk_ai$alleleAnnot$chr == "chrX" |
gatk_ai$alleleAnnot$chr == "Y" | gatk_ai$alleleAnnot$chr == "chrY"
chrxy_ai <- filter_rows(gatk_ai, keep)
chrxy_ai <- removeM38PsudosomalRegion(chrxy_ai)
chrXY <- computeAlleleRatios(chrxy_ai, countsToCall = countsToCall, total = TRUE)
chrXY <- callHetero(chrXY, thr = callheteroThr)
keepSNPDB = chrXY$annot$id != "."
chrXY <- filter_rows(chrXY, keepSNPDB)
chrXYsnpSummary <- collapseObject(chrXY, names(chrXY)[c(2,3,1,5)])
ChrXYgenes <- callHeteroSNPperGene(chrXY) ## Rtn
chrXYgenesSummary <- collapseObject(ChrXYgenes, names(ChrXYgenes)[c(2,1,3)])
# xchrData <- plot_guessedLOI(sortGeneByPosition(ChrXYgenes))
### NON sexual part
keep = gatk_ai$alleleAnnot$chr != "X" & gatk_ai$alleleAnnot$chr != "chrX" &
gatk_ai$alleleAnnot$chr != "Y" & gatk_ai$alleleAnnot$chr != "chrY"
gatk_ai_nox <- filter_rows(gatk_ai, keep)
aiGenes <- computeAlleleRatios(gatk_ai_nox, countsToCall = countsToCall, total = TRUE)
aiGenes <- callHetero(aiGenes, thr = callheteroThr)
keepSNPDB = aiGenes$annot$id != "."
aiGenes <- filter_rows(aiGenes, keepSNPDB)
LOIsnpSummary <- collapseObject(aiGenes, names(aiGenes)[c(2,3,1,5)])
aiGenesGenes <- callHeteroSNPperGene(aiGenes)
LOIgenesSummary <- collapseObject(aiGenesGenes, names(aiGenesGenes)[c(2,1,3)])
return(list(X=list(genes=ChrXYgenes, snps=chrXY), S=list(genes=aiGenesGenes, snps=aiGenes)))
}
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