#' @title countReadsMara2 Internal function to calculate scaffoldMeanRatios.
#' @description This function generates scaffoldMeanRatios underlying data.
#' @usage countReadsMara2(scaffolds, G_RESULT2)
#' @param scaffolds Choice of scaffold.
#' @param G_RESULT2 G_RESULT file.
#' @details This function returns data from internal function to calculate scaffoldMeanRatios.
#' @return Returns scaffoldMeanRatios data.
#' @author AJ Vaestermark, JR Walters.
#' @references The "Zwyx" package, 2018 (in press).
countReadsMara2 <- function(scaffolds='DPSCF300001', G_RESULT2 ) {
requireNamespace("stringr")
requireNamespace("Rsamtools")
x <- c('extdata/Danaus_poolC_Plex_BOS_HI023_M_CTTGGA_L003realigned.bam', 'MK_Plex_Mex_1742_F_GATCAG_L002realigned.bam', 'MK_Plex_NJ_116_M_GAGTGG_L008.realigned.bam','MK_Plex_StMFL_122_F_ATCACG_L008realigned.bam', 'MK_Plex_StMFL_109_M_ACTTGA_L007realigned.bam', 'MK_Plex_TX_T11_F_GGCTAC_L0013realigned.bam')
header <- scanBamHeader(files=x[1])
scaffLengths <- header[[1]][[1]]
Len <- unname(scaffLengths[as.numeric(unlist(str_split(scaffolds, "DPSCF30"))[2])])
SCAFFOLDS <- as.numeric(unlist(strsplit(scaffolds, "DPSCF30"))[2])
M1 <- unname(unlist(G_RESULT2[SCAFFOLDS]@unlistData@elementMetadata@listData[1]))
F1<- unname(unlist(G_RESULT2[SCAFFOLDS]@unlistData@elementMetadata@listData[2]))
M2<- unname(unlist(G_RESULT2[SCAFFOLDS]@unlistData@elementMetadata@listData[3]))
F2<- unname(unlist(G_RESULT2[SCAFFOLDS]@unlistData@elementMetadata@listData[4]))
M3<- unname(unlist(G_RESULT2[SCAFFOLDS]@unlistData@elementMetadata@listData[5]))
F3<- unname(unlist(G_RESULT2[SCAFFOLDS]@unlistData@elementMetadata@listData[6]))
#M <- mean(M1+M2+M3) # That's mean windows?
#F <- mean(F1+F2+F3)
M <- sum(M1+M2+M3)
F <- sum(F1+F2+F3)
PLOT <- log2(F/M) ## LOOKS RIGHT
#return(c(PLOT, Len@seqnames@lengths ))
if ( is.finite(PLOT) && is.finite(Len) ) { return(c(PLOT, Len )) }
#return(c(PLOT, Len ))
}
#################
#' @title scaffoldMeanRatios Function to plot scaffoldMeanRatios.
#' @description This function plots scaffoldMeanRatios.
#' @usage scaffoldMeanRatios(GRESULT3)
#' @param GRESULT3 G_RESULT file.
#' @details This function plots scaffoldMeanRatios.
#' @return Returns scaffoldMeanRatios value plot for samples.
#' @author AJ Vaestermark, JR Walters.
#' @references The "Zwyx" package, 2018 (in press).
scaffoldMeanRatios <- function(GRESULT3) {
requireNamespace("doParallel")
requireNamespace("parallel")
requireNamespace("foreach")
doParallel::registerDoParallel(cores=10)
Xval <- NULL
Yval <- NULL
yyx<-NULL
for(i in 1:5397) {
j<-i
j<-str_pad(j, 4, pad = "0")
yyx[i]<- paste0('DPSCF30',j)
}
pb <- txtProgressBar(max=10)
#globalVariables('i')
#globalVariables('%dopar%')
for(j in 1:10) {
setTxtProgressBar(pb, j)
SAMPLE <- sample(1:5397, 5) ;
xHI023_M <- ( foreach(i=1:5) %dopar% countReadsMara2(scaffolds=yyx[SAMPLE[i]] , GRESULT3) ) ;
for(i in 1:5) Xval <- c(Xval, unlist(xHI023_M)[i*2])
for(i in 1:5) Yval <- c(Yval, unlist(xHI023_M)[i*2-1])
}
close(pb)
#txtplot(log10(Xval), Yval, width=300, height=60) # for summed reads
txtplot(log10(Xval), Yval, width=50, height=20) # for mean windows
}
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