.clusterPositions_3cluster = function(countFile, chrList, outfileLoc="./", chrom.ref, outfile){
setwd(outfileLoc)
# Calculate number of positions with the same counts
script <- 'quantile_perl_table_tagcount.pl'
Fn.Path <- system.file( file.path("Perl", script), package = "permseq")
CMD <- paste("perl ", Fn.Path, " ", countFile, " ", chrom.ref, " ", outfile, "_output_Dnasequantile.txt", sep = "")
system(paste('rm -rf ', outfile, "_output_Dnasequantile.txt", sep=''))
for(i in chrList){
CMD <- paste(CMD, i, sep = ' ')
}
system(CMD, intern = TRUE )
# Three clusters
DNase_tags <- read.table(paste(outfileLoc, '/', outfile, '_output_Dnasequantile.txt', sep=''))
out <- DNase_tags[order(DNase_tags[, 1], decreasing=F), ]
dnaseKnots <- c(.quantileFunction(DNase_tags, 0.9), .quantileFunction(DNase_tags, 0.99))
dnaseThres <- dnaseKnots
cut_off <- NULL
for (i in 1:length(dnaseThres))
cut_off <- paste(cut_off, dnaseThres[i], sep = " ")
for(i in chrList){
# Partition genome
prioroutfile <- paste(i, '_', outfile, '_positions_3cluster.txt', sep='')
script <- 'prior_result.pl'
Fn.Path <- system.file( file.path("Perl", script), package="permseq")
CMD <- paste('perl ', Fn.Path, ' ', chrom.ref, ' ./ ', countFile, ' ', prioroutfile, sep=' ')
cmd <- paste(CMD, i, cut_off, sep=' ')
system(cmd, intern = TRUE )
print(i)
}
}
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