diff --git a/scripts/ClinicalPathogenicityComparison/Bedfiles/canonical_exon_sequences_filtered_headered_sorted.bed b/NIPT/test.tar.gz
similarity index 52%
rename from scripts/ClinicalPathogenicityComparison/Bedfiles/canonical_exon_sequences_filtered_headered_sorted.bed
rename to NIPT/test.tar.gz
index f2b5239..77bc0b3 100644
Binary files a/scripts/ClinicalPathogenicityComparison/Bedfiles/canonical_exon_sequences_filtered_headered_sorted.bed and b/NIPT/test.tar.gz differ
diff --git a/NIPT/test/ChiCorrection/TestChiCorrection.sh b/NIPT/test/ChiCorrection/TestChiCorrection.sh
deleted file mode 100644
index 22bcefa..0000000
--- a/NIPT/test/ChiCorrection/TestChiCorrection.sh
+++ /dev/null
@@ -1,16 +0,0 @@
-Rscript ../../ChiCorrection.R \
-../data/controlBins/ \
-../CreateBins/output/GoldsStandards_bins_forward.csv \
-tmp/ \
-bestControlSet/merged_NIT20140001_F3_20140206_u0mm_subopt.BestControlSet.list.tsv \
-forward \
-merged_NIT20140001_F3_20140206_u0mm_subopt
-
-
-Rscript ../../ChiCorrection.R \
-../data/controlBins/ \
-../CreateBins/output/GoldsStandards_bins_reverse.csv \
-tmp/ \
-bestControlSet/merged_NIT20140001_F3_20140206_u0mm_subopt.BestControlSet.list.tsv \
-reverse \
-merged_NIT20140001_F3_20140206_u0mm_subopt
\ No newline at end of file
diff --git a/NIPT/test/ChiCorrection/TestChiCorrection_forward.sh b/NIPT/test/ChiCorrection/TestChiCorrection_forward.sh
deleted file mode 100644
index 0e24065..0000000
--- a/NIPT/test/ChiCorrection/TestChiCorrection_forward.sh
+++ /dev/null
@@ -1,7 +0,0 @@
-Rscript ../../ChiCorrection.R \
-../data/controlBins/ \
-../CreateBins/output/GoldsStandards_bins_forward.csv \
-tmp/ \
-bestControlSet/merged_NIT20140001_F3_20140206_u0mm_subopt.BestControlSet.list.tsv \
-forward \
-merged_NIT20140001_F3_20140206_u0mm_subopt
\ No newline at end of file
diff --git a/NIPT/test/ChiCorrection/bestControlSet/merged_NIT20140001_F3_20140206_u0mm_subopt.BestControlSet.list.tsv b/NIPT/test/ChiCorrection/bestControlSet/merged_NIT20140001_F3_20140206_u0mm_subopt.BestControlSet.list.tsv
deleted file mode 100644
index 6ad4455..0000000
--- a/NIPT/test/ChiCorrection/bestControlSet/merged_NIT20140001_F3_20140206_u0mm_subopt.BestControlSet.list.tsv
+++ /dev/null
@@ -1,50 +0,0 @@
-merged_NIT20130061_F3_20131025_u0mm_subopt
-merged_NIT20130243_F3_20131015_u0mm_subopt
-merged_NIT20130237_F3_20131015_u0mm_subopt
-merged_NIT20130238_F3_20131015_u0mm_subopt
-merged_NIT20130267_F3_20131025_u0mm_subopt
-merged_NIT20130222_F3_20131015_u0mm_subopt
-merged_NIT20130366_F3_20131128_u0mm_subopt
-merged_NIT20130223_F3_20131015_u0mm_subopt
-merged_NIT20130038_F3_20131128_u0mm_subopt
-merged_NIT20130250_F3_20131025_u0mm_subopt
-merged_NIT20130363_F3_20131121_u0mm_subopt
-merged_NIT20130335_F3_20140115_u0mm_subopt
-merged_NIT20130324_F3_20140115_u0mm_subopt
-merged_NIT20130230_F3_20131015_u0mm_subopt
-merged_NIT20130246_F3_20131009_u0mm_subopt
-merged_NIT20120132_F3_20130619_u0mm_subopt
-merged_NIT20130256_F3_20131025_u0mm_subopt
-merged_NIT20130360_F3_20131121_u0mm_subopt
-merged_NIT20130058_F3_20131128_u0mm_subopt
-merged_NIT20130370_F3_20131128_u0mm_subopt
-merged_NIT20130134_F3_20131025_u0mm_subopt
-merged_NIT20130274_F3_20131025_u0mm_subopt
-merged_NIT20130367_F3_20131128_u0mm_subopt
-merged_NIT20130065_F3_20130508_u0mm_subopt
-merged_NIT20130114_F3_20131009_u0mm_subopt
-merged_NIT20130036_F3_20130619_u0mm_subopt
-merged_NIT20130369_F3_20131128_u0mm_subopt
-merged_NIT20130154_F3_20130619_u0mm_subopt
-merged_NIT20130251_F3_20131025_u0mm_subopt
-merged_NIT20130273_F3_20131009_u0mm_subopt
-merged_NIT20130377_F3_20131210_u0mm_subopt
-merged_NIT20130296_F3_20131015_u0mm_subopt
-merged_NIT20130368_F3_20131128_u0mm_subopt
-merged_NIT20120105_F3_20130703_u0mm_subopt
-merged_NIT20130364_F3_20131121_u0mm_subopt
-merged_NIT20130253_F3_20131015_u0mm_subopt
-merged_NIT20130035_F3_20130619_u0mm_subopt
-merged_NIT20130375_F3_20131210_u0mm_subopt
-merged_NIT20130157_F3_20130829_u0mm_subopt
-merged_NIT20120113_F3_20130619_u0mm_subopt
-merged_NIT20130389_F3_20131219_u0mm_subopt
-merged_NIT20130130_F3_20131025_u0mm_subopt
-merged_NIT20130064_F3_20131025_u0mm_subopt
-merged_NIT20120108_F3_20130703_u0mm_subopt
-merged_NIT20130108_F3_20131009_u0mm_subopt
-merged_NIT20130362_F3_20131121_u0mm_subopt
-merged_NIT20120076_F3_20130925_u0mm_subopt
-merged_NIT20120114_F3_20130925_u0mm_subopt
-merged_NIT20130239_F3_20131015_u0mm_subopt
-merged_NIT20130374_F3_20131210_u0mm_subopt
diff --git a/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.forward.controlfiles.corrected.bins.rds b/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.forward.controlfiles.corrected.bins.rds
deleted file mode 100644
index b4d3bd8..0000000
Binary files a/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.forward.controlfiles.corrected.bins.rds and /dev/null differ
diff --git a/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.forward.corrected.bins.table.tsv b/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.forward.corrected.bins.table.tsv
deleted file mode 100644
index 09cedab..0000000
--- a/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.forward.corrected.bins.table.tsv
+++ /dev/null
@@ -1,23 +0,0 @@
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diff --git a/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.reverse.controlfiles.corrected.bins.rds b/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.reverse.controlfiles.corrected.bins.rds
deleted file mode 100644
index b208405..0000000
Binary files a/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.reverse.controlfiles.corrected.bins.rds and /dev/null differ
diff --git a/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.reverse.corrected.bins.table.tsv b/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.reverse.corrected.bins.table.tsv
deleted file mode 100644
index da0cc32..0000000
--- a/NIPT/test/ChiCorrection/tmp/merged_NIT20140001_F3_20140206_u0mm_subopt.reverse.corrected.bins.table.tsv
+++ /dev/null
@@ -1,23 +0,0 @@
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diff --git a/NIPT/test/CreateBins/TestCreateBins.sh b/NIPT/test/CreateBins/TestCreateBins.sh
deleted file mode 100755
index 3615e93..0000000
--- a/NIPT/test/CreateBins/TestCreateBins.sh
+++ /dev/null
@@ -1,2 +0,0 @@
-../../CreateBins.R  --input ../data/testReads/gold_standard_forward_reads.bed --output output/TEST_GoldsStandards_bins_forward.csv --pdf output/TEST_GoldsStandards_bins_forward.pdf
-../../CreateBins.R  --input ../data/testReads/gold_standard_reverse_reads.bed --output output/TEST_GoldsStandards_bins_reverse.csv --pdf output/TEST_GoldsStandards_bins_reverse.pdf
\ No newline at end of file
diff --git a/NIPT/test/CreateBins/TestCreateBins_forward.sh b/NIPT/test/CreateBins/TestCreateBins_forward.sh
deleted file mode 100644
index cb370b2..0000000
--- a/NIPT/test/CreateBins/TestCreateBins_forward.sh
+++ /dev/null
@@ -1 +0,0 @@
-../../CreateBins.R  --input ../data/testReads/gold_standard_forward_reads.bed --output output/TEST_GoldsStandards_bins_forward.csv --pdf output/TEST_GoldsStandards_bins_forward.pdf
\ No newline at end of file
diff --git a/NIPT/test/CreateBins/TestCreateBins_reverse.sh b/NIPT/test/CreateBins/TestCreateBins_reverse.sh
deleted file mode 100644
index 3df6bd6..0000000
--- a/NIPT/test/CreateBins/TestCreateBins_reverse.sh
+++ /dev/null
@@ -1 +0,0 @@
-../../CreateBins.R  --input ../data/testReads/gold_standard_reverse_reads.bed --output output/GoldsStandards_bins_reverse.csv --pdf output/GoldsStandards_bins_reverse.pdf
\ No newline at end of file
diff --git a/NIPT/test/CreateBins/data b/NIPT/test/CreateBins/data
deleted file mode 100644
index 4739abb..0000000
--- a/NIPT/test/CreateBins/data
+++ /dev/null
@@ -1 +0,0 @@
-You have used the following arguments:
diff --git a/NIPT/test/CreateBins/output/GoldsStandards_bins_forward.csv b/NIPT/test/CreateBins/output/GoldsStandards_bins_forward.csv
deleted file mode 100644
index a29e217..0000000
--- a/NIPT/test/CreateBins/output/GoldsStandards_bins_forward.csv
+++ /dev/null
@@ -1,25 +0,0 @@
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diff --git a/NIPT/test/CreateBins/output/GoldsStandards_bins_forward.pdf b/NIPT/test/CreateBins/output/GoldsStandards_bins_forward.pdf
deleted file mode 100644
index a55d54c..0000000
Binary files a/NIPT/test/CreateBins/output/GoldsStandards_bins_forward.pdf and /dev/null differ
diff --git a/NIPT/test/CreateBins/output/GoldsStandards_bins_reverse.csv b/NIPT/test/CreateBins/output/GoldsStandards_bins_reverse.csv
deleted file mode 100644
index 4d152de..0000000
--- a/NIPT/test/CreateBins/output/GoldsStandards_bins_reverse.csv
+++ /dev/null
@@ -1,25 +0,0 @@
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diff --git a/NIPT/test/CreateBins/output/GoldsStandards_bins_reverse.pdf b/NIPT/test/CreateBins/output/GoldsStandards_bins_reverse.pdf
deleted file mode 100644
index 2929e1c..0000000
Binary files a/NIPT/test/CreateBins/output/GoldsStandards_bins_reverse.pdf and /dev/null differ
diff --git a/NIPT/test/DetermineBestControl/DetermineBestControl_will_be_removed_from_pipeline b/NIPT/test/DetermineBestControl/DetermineBestControl_will_be_removed_from_pipeline
deleted file mode 100644
index e69de29..0000000
diff --git a/NIPT/test/InterChiCorrection/InterChiCorrection_will_be_removed_from_pipeline b/NIPT/test/InterChiCorrection/InterChiCorrection_will_be_removed_from_pipeline
deleted file mode 100644
index e69de29..0000000
diff --git a/NIPT/test/data/testReads/gold_standard_README.txt b/NIPT/test/data/testReads/gold_standard_README.txt
deleted file mode 100644
index 7c2aa87..0000000
--- a/NIPT/test/data/testReads/gold_standard_README.txt
+++ /dev/null
@@ -1 +0,0 @@
-Place here the files gold_standard_{forward,reverse}_reads.bed
\ No newline at end of file
diff --git a/gene_based_CADD_score_validator/scripts/R/CGD_analysis.r b/gene_based_CADD_score_validator/scripts/R/CGD_analysis.r
deleted file mode 100644
index c25abf3..0000000
--- a/gene_based_CADD_score_validator/scripts/R/CGD_analysis.r
+++ /dev/null
@@ -1,305 +0,0 @@
-library("stringr")
-library("VariantAnnotation") 
-library("getopt")
-library("ggplot2")
-
-#############
-# multiplot #
-#############
-# Allows for multiplotting based upon the number of columns specified
-# Expects a number of plots to draw.
-#
-multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) {
-  library(grid)
-  
-  # Make a list from the ... arguments and plotlist
-  plots <- c(list(...), plotlist)
-  
-  numPlots = length(plots)
-  
-  # If layout is NULL, then use 'cols' to determine layout
-  if (is.null(layout)) {
-    # Make the panel
-    # ncol: Number of columns of plots
-    # nrow: Number of rows needed, calculated from # of cols
-    layout <- matrix(seq(1, cols * ceiling(numPlots/cols)),
-                     ncol = cols, nrow = ceiling(numPlots/cols))
-  }
-  
-  if (numPlots==1) 
-  {
-    print(plots[[1]])
-    
-  } 
-  else
-  {
-    # Set up the page
-    grid.newpage()
-    pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout))))
-    
-    # Make each plot, in the correct location
-    for (i in 1:numPlots) {
-      # Get the i,j matrix positions of the regions that contain this subplot
-      matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE))
-      
-      print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row,
-                                      layout.pos.col = matchidx$col))
-    }
-  }
-}
-
-
-analyse.Gene <- function(gene, vcf, plots, plotout, patient.cadd, max.thresholds){
-  gene.datatable <- as.data.frame(info(vcf)[1:nrow(info(vcf)), 1:11][info(vcf)$GENE_SYMBOL == gene,])
-  colours <- NULL
-  results.df <- data.frame(
-    "gene symbol" = gene
-  )
-  print(gene)
-  #get non pathogenic and pathogenic indici
-  index.benign = which( .02 < gene.datatable["GoNL_AF"] )
-  index.benign = c(index.benign, which(.02 < gene.datatable["Thousand_Genomes_AF"]))
-  index.benign = c(index.benign, which(.02 < gene.datatable["EXAC_AF"]))
-
-  index.pathogenic = which( "5" == gene.datatable["CLINVAR_CLNSIG"] )
-
-  # set all colour labels to unknown 
- 
-  print(which( "Pathogenic" %in% gene.datatable["CLINVAR_CLNSIG"] ))
-  colours = rep("Unknown", nrow(gene.datatable))
-  
-  validGene<-F
-  
-  for (i in 1:nrow(gene.datatable["CLINVAR_CLNSIG"]))
-  {
-    elt = gene.datatable$CLINVAR_CLNSIG[[i]]
-    if (0 != length(elt))
-    {
-      if (is.element("5", strsplit(elt, "\\|")[[1]])){
-        index.pathogenic = c(index.pathogenic, i)  
-      }
-      else if(is.element("4", strsplit(elt, "\\|")[[1]])){
-        index.pathogenic = c(index.pathogenic, i)
-      }
-      else if(is.element("3", strsplit(elt, "\\|")[[1]])){
-        index.benign = c(index.benign, i )
-      }
-    }
-  } 
-  
-  
-  if(length(index.pathogenic) > 5  & length(index.benign) > 5  & (length(index.benign) + length(index.pathogenic)) > 20){
-    
-    
-    
-    # if there are any indexes found indicating pathogenic variants then set the pathogenic colour labels
-    if(length(index.pathogenic) > 0)
-    {
-      colours[index.pathogenic] <- "Pathogenic"
-    }
-    # if there are any indexes found indicating Benign variants then set the Benign colour labels
-    if(length(index.benign) > 0)
-    {
-      colours[index.benign] <- "Benign"
-    }
-
-    
-    # set colour labels to the gene table
-    gene.datatable$colour <- colours
-    # sort data by cadd score
-    gene.datatable.sorted.cadd.scaled <- gene.datatable[order(unlist(gene.datatable["CADD"])),]
-    
-    for(max.errors in 0:max.thresholds){
-      max.benign.errors <- (length(index.benign) / 100 ) * max.errors
-      max.pathogenic.errors <- (length(index.pathogenic) / 100  ) * max.errors
-
-      cadd.scaled.benign.index <- treshold.benign.calculate(unlist(gene.datatable.sorted.cadd.scaled["colour"]), err.max=max.benign.errors)
-      cadd.scaled.pathogenic.index <- treshold.pathogenic.calculate(unlist(gene.datatable.sorted.cadd.scaled["colour"]), err.max=max.pathogenic.errors)
-
-      benign.cutoff <- unlist(gene.datatable.sorted.cadd.scaled$CADD_SCALED)[cadd.scaled.benign.index]
-      pathogenic.cutoff <- unlist(gene.datatable.sorted.cadd.scaled$CADD_SCALED)[cadd.scaled.pathogenic.index]
-      
-      if (plots){
-        
-        cadd.scaled.plot <- NULL
-        cadd.scaled.plot <- qplot(unlist(gene.datatable.sorted.cadd.scaled["CADD_SCALED"]), xlab="CADD scaled score", ylab="Counts", main=paste("Scaled CADD score distribution permitting", max.errors, "% errors for gene:", gene), fill=factor(unlist(gene.datatable.sorted.cadd.scaled$colour))) + scale_fill_manual(values=c("#009E73", "#D55E00", "#0072B2"))
-        cadd.scaled.plot <- cadd.scaled.plot + geom_vline(xintercept = patient.cadd, colour="red", linetype = "longdash")
-        
-        cadd.scaled.plot <- cadd.scaled.plot + geom_vline(xintercept = unlist(gene.datatable.sorted.cadd.scaled$CADD_SCALED)[cadd.scaled.benign.index], colour="purple")
-        cadd.scaled.plot <- cadd.scaled.plot + geom_vline(xintercept = unlist(gene.datatable.sorted.cadd.scaled$CADD_SCALED)[cadd.scaled.pathogenic.index], colour="orange")
-        cadd.scaled.plot <- cadd.scaled.plot + guides(fill=guide_legend(title="Classification"))
-        # pdf(paste("/Users/molgenis/Desktop/afstuderen/presentatie/figures", gene, max.errors, ".pdf", sep=""),width=15, height=7)
-        
-        plot(cadd.scaled.plot)
-        # dev.off()
-      }
-      
-     
-      if(benign.cutoff < pathogenic.cutoff){
-        
-        validGene = T
-        results.df["Number of pathogenic variants"] = length(index.pathogenic)
-        results.df["Number of benign variants"] = length(index.benign)
-        
-        results.df[paste("pathogenic threshold,", max.errors, "% errors")] <- pathogenic.cutoff
-        results.df[paste("benign threshold,", max.errors, "% errors")] <- benign.cutoff
-        
-        npathogenic.pathogenic.region <- (length(which("Pathogenic" == unlist(gene.datatable.sorted.cadd.scaled$colour)[cadd.scaled.pathogenic.index: length(unlist(gene.datatable.sorted.cadd.scaled$colour))])) / (length(index.benign) + length(index.pathogenic))) * 100
-        npathogenic.benign.region <- (length(which("Pathogenic" == unlist(gene.datatable.sorted.cadd.scaled$colour)[0:cadd.scaled.benign.index])) / (length(index.benign) + length(index.pathogenic))) * 100
-        nbenign.pathogenic.region <- (length(which("Benign" == unlist(gene.datatable.sorted.cadd.scaled$colour)[cadd.scaled.pathogenic.index: length(unlist(gene.datatable.sorted.cadd.scaled$colour))])) / (length(index.benign) + length(index.pathogenic))) * 100
-        nbenign.benign.region <-  (length(which("Benign" == unlist(gene.datatable.sorted.cadd.scaled$colour)[0:cadd.scaled.benign.index]))/ (length(index.benign) + length(index.pathogenic))) * 100
-        
-        results.df[paste("% pathogenic variants in pathogenic region", max.errors, "% errors")] <- npathogenic.pathogenic.region
-        results.df[paste("% benign variants in pathogenic region", max.errors, "% errors")] <- nbenign.pathogenic.region
-        results.df[paste("% pathogenic variants in benign region", max.errors, "% errors")] <- npathogenic.benign.region
-        results.df[paste("% benign variants in benign region", max.errors, "% errors")] <- nbenign.benign.region
-     }
-     else{
-         results.df["Number of pathogenic variants"] = length(index.pathogenic)
-         results.df["Number of benign variants"] = length(index.benign)
-       
-         results.df[paste("pathogenic threshold,", max.errors, "% errors")] <- "N/A"
-         results.df[paste("benign threshold,", max.errors, "% errors")] <- "N/A"
-         
-         results.df[paste("% pathogenic variants in pathogenic region", max.errors, "% errors")] <- "N/A"
-         results.df[paste("% benign variants in pathogenic region", max.errors, "% errors")] <- "N/A"
-         results.df[paste("% pathogenic variants in benign region", max.errors, "% errors")] <- "N/A"
-         results.df[paste("% benign variants in benign region", max.errors, "% errors")] <- "N/A"
-      }
-    
-    }
-    if(validGene){
-      return(results.df)
-    }else{
-      return(NULL)
-    }
-    
-  }
-}
-
-
-treshold.benign.calculate <- function(population, err.max){
-  err.counts = 0
-  index = length(population)
-
-  #check when the first uncertainty occurs
-  for(i in 1:length(population)){
-    if( "Pathogenic" %in% population[i]){
-      err.counts <- err.counts + 1
-      
-      if(err.counts > err.max){
-        index <- i - 1
-        break
-      }
-      
-    }
-  }
- 
-  if ((index < 1) | (length(index) == 0)){   
-    index <- 1
-  }
-  return(index)
-}
-
-
-treshold.pathogenic.calculate <- function(population, err.max){
-  err.counts = 0
-  index = 1
-
-  #check when the first uncertainty occurs
-  for(i in length(population):1){
-    if("Benign" %in% population[i]){
-      err.counts <- err.counts + 1
-      
-      if(err.counts > err.max){
-        index <- i + 1
-
-        break
-      }
-      
-    }
-  }
-
-  if((index > length(population)) | (length(index) == 0)){
-   
-    index <- length(population)
-  }
-
-  return(index)
-}
-
-
-###################
-# CMDline input check #
-###################
-spec <- matrix(c(
-  'input'     , 'i', 1, "character", "input VCF file annotated using the molgenis annotation software, the following fields are required in the info collumn:        
-  CADD_SCALED               Float 
-  GoNL_GTC                  String
-  GoNL_AF                   String
-  Thousand_Genomes_AF       String
-  EXAC_AF                   String
-  CLINVAR_CLNSIG            String
-  CLINVAR_CLNALLE           String
-  GENE_SYMBOL               String",
-  'out'     , 'o', 1, "character", "ouput CSV path + filename of annotated vcf-file analysis",
-  'plot'    , 'p', 1, "character", "T for generating plot output and F for no plot output, defaults to false",
-  'pout'    , 'q', 1, "character", "Ouput directory to write png graphs of the analysis, every gene will generate 1 plot. gene name will be used as file name",
-  'help'   , 'h', 0, "logical",   "This help",
-  'maxthresholds'     , 't', 1, "integer", "Defines maximum amount of unexpected values permitted to define treshold values in percentages for each class increments by 1%,
-  5 will mean 0%, 1%, 2%, 3%, 4% and 5% permitted unexpected values",
-  'cadd'     , 'c', 1, "double", "Defines CADD scaled score value indicating a patient"
-),ncol=5,byrow=T)
-
-# parse commandline option
-opt = getopt(spec);
-
-# check all arguments are present or help option is present, if needed show usage
-if(!is.null(opt$help) || is.null(opt$input) || is.null(opt$out) || is.null(opt$cadd) || is.null(opt$maxthresholds)){
-  cat(paste(getopt(spec, usage=T),"\n"));
-  q()
-}
-
-# set default plot options if needed
-if (is.null(opt$plot)){
-  opt$plot <- F
-}
-
-# check for plot output dir
-if (opt$plot){
-  if(is.null(opt$pout)){
-    cat(paste(getopt(spec, usage=T),"\n"));
-    q()
-  }
-}
-
-
-##########################
-# annotated VCF analysis #
-##########################
-# start analysis
-vcf.file<-readVcf(opt$input, "hg19")
-genes <- unique(info(vcf.file)$GENE_SYMBOL)
-cat(paste(c("## Starting analysis of: ", opt$input)))
-results.rows.df<-lapply(genes, analyse.Gene, vcf=vcf.file, plots=opt$plot, plotout=opt$pout, max.thresholds=opt$maxthresholds)
-df.results<-do.call("rbind", results.rows.df)
-cat("## Output will be written to: ")
-cat(paste(c(opt$out,"\n"), sep=""))
-write.table(df.results, file = opt$out, sep = "\t", col.names = NA, qmethod = "double")
-cat("#### Done ######\n")
-cat(paste(c("Kept"), nrow(df.results), "out of", length(genes), "genes\n" ))
-
-#test
-vcf<-readVcf("/Users/molgenis/Desktop/Analysis/data/merged.vcf", "hg19")
-#genes <- unique(unlist(info(vcf)$GENE_SYMBOL))
-#length(genes)
-
-#genes <- unique(unlist(info(vcf)$GENE_SYMBOL))
-#results<-lapply(genes[2001:length(genes)], analyse.Gene, vcf=vcf, plots=F, patient.cadd=15, max.thresholds=5)
-#results.df<-do.call("rbind", results)
-#analyse.Gene(gene = "SMPD1", vcf = vcf, plots = T, max.thresholds = 5, patient.cadd = 10)
-
-
-a <- as.data.frame(info(vcf)[1:nrow(info(vcf)), 1:11][info(vcf)$GENE_SYMBOL == "SMPD1",])
-
-which(a$CLINVAR_CLNSIG == "2")
diff --git a/gene_based_CADD_score_validator/scripts/java/annotator/CmdLineAnnotator.jar b/gene_based_CADD_score_validator/scripts/java/annotator/CmdLineAnnotator.jar
deleted file mode 100644
index da21faf..0000000
Binary files a/gene_based_CADD_score_validator/scripts/java/annotator/CmdLineAnnotator.jar and /dev/null differ
diff --git a/gene_based_CADD_score_validator/scripts/python/allele_strand_swapper.py b/gene_based_CADD_score_validator/scripts/python/allele_strand_swapper.py
deleted file mode 100755
index f6659aa..0000000
--- a/gene_based_CADD_score_validator/scripts/python/allele_strand_swapper.py
+++ /dev/null
@@ -1,273 +0,0 @@
-#! /usr/bin/local/python3
-"""
-Author  : Bram Miedema
-Version : 0.1
-date    : 22-September-2015
-
-This script 
-
-This script needs two arguments -o [path_to_output_file]> and a one or more files
-any argument after the options below will be considered file names <two or more vcf batch files to be merged>]
-
-Below is a list of options available:
-    -h [--help] shows this screen
-    -v [--verbose] verbose mode test purpose
-    -o [--output] specifies the output file path and file name e.g /homes/output.vcf
-    -t [--test] enables test run no output file will be created
-
-report bugs:
-    a.t.miedema@st.hanze.nl
-
-"""
-
-from urllib.request import urlopen
-import getopt
-import sys
-import csv
-import re
-import os
-
-settings = dict()
-
-def parseOpt():
-    '''
-    parses commandline arguments and set these as global settings
-    '''
-
-    opts, args = getopt.getopt(sys.argv[1:], 'vo:ht', ['verbose','output=', 'help', 'test' ])
-    for o, a in opts:
-        if o in ('-v', '--verbose'):
-            settings['verbose'] = 1
-        if o in ('-o', '--output'):
-            settings['outputFile'] = a
-        if o in ('-h', '--help'):
-            usage()            
-        if o in ('-t', '--test'):
-            settings['test'] = True
-    return args
-
-def verbose(message):
-    '''
-    prints verbose messages when verbose is enabled
-    '''
-    if settings['verbose'] > 0:
-        print(message)
-
-def usage():
-    ''' 
-    prints usage
-    '''
-    print(__doc__, file = sys.stderr)
-    exit(1)
-
-def setup():
-    '''
-    init setup 
-    '''
-    settings['verbose'] = 0
-    settings['outputFile'] = ""
-    settings['test'] = False
-
-def error(err):
-    '''
-    prints error stream
-    '''
-    print('Het volgende gaat fout:\n{}'.format(err.args), file = sys.stderr)
-    exit(1)
-                        
-def getHeader():
-    header = '''##fileformat=VCFv4.1
-##contig=<ID=Un|NT_113961.1,length=166566>
-##contig=<ID=Un|NT_113923.1,length=186858>
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-##contig=<ID=M,length=16569>
-##INFO=<ID=CLINVAR_CLNSIG,Number=.,Type=String,Description="Value representing clinical significant allele 0 means ref 1 means first alt allele etc.">
-##INFO=<ID=CLINVAR_CLNALLE,Number=.,Type=String,Description="Value representing the clinical significanct according to ClinVar">
-##INFO=<ID=GENE_SYMBOL,Number=1,Type=String,Description="HGNC gene symbol">
-#CHROM\tPOS\tID\tREF\tALT\tQUAL\tFILTER\tINFO\t'''
-    return header 
-            
-def inflateAggregates(args):
-    header = getHeader()
-    print(header)
-    for arg in args:
-        
-        try:
-            fileName = arg
-            fh = open(fileName, 'r')
-            
-            csvReader = csv.reader(open(arg), delimiter='\t', quotechar='"')
-            for row in csvReader:
-                
-                if "Position" in row[0]:
-                    
-                    continue
-                   
-                   # header.append( ",".join(str(x) for x in row))
-                    #variant line
-                else:
-                    # we are only interrested in SNPs and non UTR regions
-                    
-                        
-                    ref = getBaseFromOtherStrand(row[3])
-                    alt = getBaseFromOtherStrand(row[4])
-                    chr = row[0]
-                    position = row[1]
-                    info = row[7]
-                    id = row[2]
-                    quality = row[5]
-                    filter = row[6]
-                    
-                    line = chr + "\t" + position + "\t" + id + "\t" + ref + "\t" + alt + "\t" + quality + "\t" + filter + "\t" + info
-                    
-                    print(line)
-
-               #18:21153422-21153422
-            #   18      21153422        .       C       T       .       .       CLINVAR_CLNSIG="Pathogenic";CLINVAR_CLNALLE=1;GENE_SYMBOL=NPC1;
-        except Exception as err:
-            error(err)
-    #header line to print:  print("\n".join(str(x) for x in header))
-
-def getBaseFromOtherStrand(base):
-    if (base == "A"):
-        base = "T"
-    elif (base == "C"):
-        base = "G"
-    elif (base == "G"):
-        base = "C"
-    elif (base =="T"):
-        base = "A"
-    
-    return base
-
-
-def main():
-    setup()
-    args = parseOpt()
-   # if(settings['outputFile'] == ""):
-    #    usage()
-    
-    if(len(args) > 0):
-        inflateAggregates(args)
-
-main()
\ No newline at end of file
diff --git a/gene_based_CADD_score_validator/scripts/python/mvl2vcf.py b/gene_based_CADD_score_validator/scripts/python/mvl2vcf.py
deleted file mode 100755
index aedc3ed..0000000
--- a/gene_based_CADD_score_validator/scripts/python/mvl2vcf.py
+++ /dev/null
@@ -1,285 +0,0 @@
-#! /usr/bin/local/python3
-"""
-Author  : Bram Miedema
-Version : 0.1
-date    : 22-September-2015
-
-This script 
-
-This script needs two arguments -o [path_to_output_file]> and a one or more files
-any argument after the options below will be considered file names <two or more vcf batch files to be merged>]
-
-Below is a list of options available:
-    -h [--help] shows this screen
-    -v [--verbose] verbose mode test purpose
-    -o [--output] specifies the output file path and file name e.g /homes/output.vcf
-    -t [--test] enables test run no output file will be created
-
-report bugs:
-    a.t.miedema@st.hanze.nl
-
-"""
-
-from urllib.request import urlopen
-import getopt
-import sys
-import csv
-import re
-import os
-
-settings = dict()
-
-def parseOpt():
-    '''
-    parses commandline arguments and set these as global settings
-    '''
-
-    opts, args = getopt.getopt(sys.argv[1:], 'vo:ht', ['verbose','output=', 'help', 'test' ])
-    for o, a in opts:
-        if o in ('-v', '--verbose'):
-            settings['verbose'] = 1
-        if o in ('-o', '--output'):
-            settings['outputFile'] = a
-        if o in ('-h', '--help'):
-            usage()            
-        if o in ('-t', '--test'):
-            settings['test'] = True
-    return args
-
-def verbose(message):
-    '''
-    prints verbose messages when verbose is enabled
-    '''
-    if settings['verbose'] > 0:
-        print(message)
-
-def usage():
-    ''' 
-    prints usage
-    '''
-    print(__doc__, file = sys.stderr)
-    exit(1)
-
-def setup():
-    '''
-    init setup 
-    '''
-    settings['verbose'] = 0
-    settings['outputFile'] = ""
-    settings['test'] = False
-
-def error(err):
-    '''
-    prints error stream
-    '''
-    print('Het volgende gaat fout:\n{}'.format(err.args), file = sys.stderr)
-    exit(1)
-                        
-def getHeader():
-    header = '''##fileformat=VCFv4.1
-##contig=<ID=Un|NT_113961.1,length=166566>
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-##INFO=<ID=CLINVAR_CLNALLE,Number=.,Type=String,Description="Value representing the clinical significanct according to ClinVar">
-##INFO=<ID=GENE_SYMBOL,Number=1,Type=String,Description="HGNC gene symbol">
-#CHROM\tPOS\tID\tREF\tALT\tQUAL\tFILTER\tINFO\t'''
-    return header 
-            
-def inflateAggregates(args):
-    header = getHeader()
-    print(header)
-    for arg in args:
-        try:
-            fileName = arg
-            fh = open(fileName, 'r')
-           
-            csvReader = csv.reader(open(arg), delimiter='\t', quotechar='"')
-            for row in csvReader:
-                
-                if "Position" in row[0]:
-                    
-                    continue
-                   
-                   # header.append( ",".join(str(x) for x in row))
-                    #variant line
-                else:
-                    # we are only interrested in SNPs and non UTR regions
-                    if(((row[4] == "snp") | (row[4] == "SNP")) & ("UTR" not in row[5])):
-                        if(row[9] == "Likely benign"):
-                            clnsig = "CLINVAR_CLNSIG=3"
-                        if(row[9] == "Likely pathogenic"):
-                            clnsig = "CLINVAR_CLNSIG=4"
-                        if(row[9] == "Pathogenic"):
-                            clnsig = "CLINVAR_CLNSIG=5"
-                        
-                        clnsig_all = "CLINVAR_CLNALLE=" + "1"
-                        geneSymbol = "GENE_SYMBOL=" + row[1] 
-                        id = "."
-                        filter = "."
-                        quality = "."
-                        chr = row[0].split(":")[0]
-                        position = int(row[0].split(":")[1])
-                        
-                        isValid = False 
-                        
-                        alleles = row[3].split(">")
-                        ref = alleles[0][len(alleles[0])-1]
-                        # check if variant lies close to an exon +/- 5 bp indicating splice variant
-                        if("+" in row[3]):
-                            validation = row[3].split("+")
-                            
-                            if (int(re.sub('[^0-9]','', validation[1])) <= 5):
-                                isValid= True
-                        elif("-" in row[3]):
-                            validation = row[3].split("-") 
-                            if (int(re.sub('[^0-9]','', validation[1])) <= 5):
-                                isValid= True
-                        # If no + or -  is found we are dealing with a variant in a transcript/coding area
-                        else:
-                            isValid= True
-                            
-                        alt = alleles[1]    
-                     
-                        line = chr + "\t" + str(position)+ "\t" + id + "\t" + ref + "\t" + alt + "\t" + quality + "\t" + filter + "\t" + clnsig.strip() + ";" + clnsig_all + ";"+ geneSymbol.strip()+ ";"
-                        if(isValid):
-                            print(line)
-
-                
-                  
-        except Exception as err:
-            error(err)
-    #header line to print:  print("\n".join(str(x) for x in header))
-        
-
-def main():
-    setup()
-    args = parseOpt()
-   # if(settings['outputFile'] == ""):
-    #    usage()
-    
-    if(len(args) > 0):
-        inflateAggregates(args)
-
-main()
\ No newline at end of file
diff --git a/scripts/ClinicalPathogenicityComparison.tar.gz b/scripts/ClinicalPathogenicityComparison.tar.gz
new file mode 100644
index 0000000..222d6a1
Binary files /dev/null and b/scripts/ClinicalPathogenicityComparison.tar.gz differ
diff --git a/scripts/ClinicalPathogenicityComparison/Bedfiles/test_set_bed.bed b/scripts/ClinicalPathogenicityComparison/Bedfiles/test_set_bed.bed
deleted file mode 100644
index 4090d70..0000000
--- a/scripts/ClinicalPathogenicityComparison/Bedfiles/test_set_bed.bed
+++ /dev/null
@@ -1,536 +0,0 @@
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-2	179475714	179476003	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002310196	0	-1
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-2	179480028	179480216	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002241338	0	-1
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-2	179487391	179487499	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002303983	0	-1
-2	179489186	179489463	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002217863	0	-1
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-2	179498134	179498408	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002323886	0	-1
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-2	179505262	179505362	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002245689	0	-1
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-2	179509269	179509348	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002318158	0	-1
-2	179510641	179510762	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002238481	0	-1
-2	179511206	179511291	HGNC_Symbol=TTN|ENSMBL_id=ENSE00001666171	0	-1
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-2	179512102	179512196	HGNC_Symbol=TTN|ENSMBL_id=ENSE00001734166	0	-1
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-2	179514275	179514363	HGNC_Symbol=TTN|ENSMBL_id=ENSE00001690572	0	-1
-2	179514538	179514626	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002203845	0	-1
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-2	179516174	179516268	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002202585	0	-1
-2	179516387	179516481	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002220534	0	-1
-2	179516605	179516699	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002300978	0	-1
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-2	179516985	179517079	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002492336	0	-1
-2	179517179	179517273	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002494297	0	-1
-2	179517374	179517468	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002962510	0	-1
-2	179517569	179517663	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002841497	0	-1
-2	179517762	179517856	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002922952	0	-1
-2	179517959	179518053	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002816759	0	-1
-2	179518148	179518239	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002834894	0	-1
-2	179518342	179518433	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002750222	0	-1
-2	179518538	179518629	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002771288	0	-1
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-2	179518929	179519023	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002759095	0	-1
-2	179519166	179519266	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002836035	0	-1
-2	179519466	179519560	HGNC_Symbol=TTN|ENSMBL_id=ENSE00001744095	0	-1
-2	179519633	179519727	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002471163	0	-1
-2	179522219	179522313	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002949545	0	-1
-2	179522408	179522499	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002840432	0	-1
-2	179522602	179522693	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002960777	0	-1
-2	179522798	179522889	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002911976	0	-1
-2	179522993	179523087	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002961719	0	-1
-2	179523189	179523283	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002940926	0	-1
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-2	179523726	179523820	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002454830	0	-1
-2	179523893	179523987	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002523802	0	-1
-2	179526480	179526574	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002767327	0	-1
-2	179526669	179526760	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002831360	0	-1
-2	179526863	179526954	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002852676	0	-1
-2	179527059	179527150	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002825030	0	-1
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-2	179528540	179528634	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002469497	0	-1
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-2	179530098	179530192	HGNC_Symbol=TTN|ENSMBL_id=ENSE00001511800	0	-1
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-2	179531545	179531633	HGNC_Symbol=TTN|ENSMBL_id=ENSE00001511801	0	-1
-2	179531957	179532051	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002858877	0	-1
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-2	179534094	179534179	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002928040	0	-1
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-2	179545800	179545903	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002257241	0	-1
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-2	179549387	179549481	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002311283	0	-1
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-2	179557218	179557312	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002209806	0	-1
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-2	179561842	179561900	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002436853	0	-1
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-2	179566889	179566977	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002469691	0	-1
-2	179567175	179567395	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002530543	0	-1
-2	179568868	179569139	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002225382	0	-1
-2	179569231	179569509	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002295649	0	-1
-2	179569598	179569698	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002289826	0	-1
-2	179569895	179570089	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002278104	0	-1
-2	179571175	179571471	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002291660	0	-1
-2	179571583	179571686	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002265076	0	-1
-2	179572247	179572545	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002269077	0	-1
-2	179574287	179574588	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002265461	0	-1
-2	179575356	179575654	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002208403	0	-1
-2	179575783	179576081	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002264829	0	-1
-2	179576665	179576954	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002259746	0	-1
-2	179577036	179577325	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002267930	0	-1
-2	179577418	179577707	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002209266	0	-1
-2	179577806	179578104	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002263863	0	-1
-2	179578618	179578907	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002296287	0	-1
-2	179579013	179579305	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002226172	0	-1
-2	179579707	179579996	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002250660	0	-1
-2	179580214	179580506	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002273672	0	-1
-2	179581816	179582114	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002264489	0	-1
-2	179582244	179582542	HGNC_Symbol=TTN|ENSMBL_id=ENSE00002283786	0	-1
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-3	37045886	37045970	HGNC_Symbol=MLH1|ENSMBL_id=ENSE00003635406	0	1
-3	37048476	37048559	HGNC_Symbol=MLH1|ENSMBL_id=ENSE00003533853	0	1
-3	37050299	37050401	HGNC_Symbol=MLH1|ENSMBL_id=ENSE00003633623	0	1
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-3	37070269	37070428	HGNC_Symbol=MLH1|ENSMBL_id=ENSE00003680564	0	1
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-3	37090389	37090513	HGNC_Symbol=MLH1|ENSMBL_id=ENSE00001785296	0	1
-3	37091971	37092414	HGNC_Symbol=MLH1|ENSMBL_id=ENSE00001910585	0	1
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-4	43032372	43032680	HGNC_Symbol=GRXCR1|ENSMBL_id=ENSE00001540121	0	1
-7	6012864	6013178	HGNC_Symbol=PMS2|ENSMBL_id=ENSE00001848489	0	-1
-7	6017213	6017393	HGNC_Symbol=PMS2|ENSMBL_id=ENSE00001608691	0	-1
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-7	6043315	6043428	HGNC_Symbol=PMS2|ENSMBL_id=ENSE00003478459	0	-1
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-7	6045517	6045667	HGNC_Symbol=PMS2|ENSMBL_id=ENSE00003610845	0	-1
-7	6048622	6048761	HGNC_Symbol=PMS2|ENSMBL_id=ENSE00001848021	0	-1
-8	22877640	22880502	HGNC_Symbol=TNFRSF10B|ENSMBL_id=ENSE00003622134	0	-1
-8	22881695	22881778	HGNC_Symbol=TNFRSF10B|ENSMBL_id=ENSE00003649269	0	-1
-8	22884640	22884806	HGNC_Symbol=TNFRSF10B|ENSMBL_id=ENSE00003643584	0	-1
-8	22885229	22885271	HGNC_Symbol=TNFRSF10B|ENSMBL_id=ENSE00003582358	0	-1
-8	22885838	22886120	HGNC_Symbol=TNFRSF10B|ENSMBL_id=ENSE00001203553	0	-1
-8	22887117	22887239	HGNC_Symbol=TNFRSF10B|ENSMBL_id=ENSE00003688925	0	-1
-8	22888266	22888390	HGNC_Symbol=TNFRSF10B|ENSMBL_id=ENSE00003566418	0	-1
-8	22900645	22900761	HGNC_Symbol=TNFRSF10B|ENSMBL_id=ENSE00003560985	0	-1
-8	22926258	22926697	HGNC_Symbol=TNFRSF10B|ENSMBL_id=ENSE00001335538	0	-1
-8	22960097	22960699	HGNC_Symbol=TNFRSF10C|ENSMBL_id=ENSE00001425195	0	1
-8	22969227	22969343	HGNC_Symbol=TNFRSF10C|ENSMBL_id=ENSE00003573140	0	1
-8	22972164	22972288	HGNC_Symbol=TNFRSF10C|ENSMBL_id=ENSE00003601121	0	1
-8	22973015	22973134	HGNC_Symbol=TNFRSF10C|ENSMBL_id=ENSE00003565944	0	1
-8	22974148	22974955	HGNC_Symbol=TNFRSF10C|ENSMBL_id=ENSE00001487240	0	1
-8	22993095	22995521	HGNC_Symbol=TNFRSF10D|ENSMBL_id=ENSE00001311135	0	-1
-8	22995695	22995778	HGNC_Symbol=TNFRSF10D|ENSMBL_id=ENSE00001661145	0	-1
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-8	23003175	23003439	HGNC_Symbol=TNFRSF10D|ENSMBL_id=ENSE00001203520	0	-1
-8	23004468	23004590	HGNC_Symbol=TNFRSF10D|ENSMBL_id=ENSE00001203527	0	-1
-8	23005945	23006069	HGNC_Symbol=TNFRSF10D|ENSMBL_id=ENSE00001758987	0	-1
-8	23012381	23012497	HGNC_Symbol=TNFRSF10D|ENSMBL_id=ENSE00001221758	0	-1
-8	23021293	23021548	HGNC_Symbol=TNFRSF10D|ENSMBL_id=ENSE00001221777	0	-1
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-8	23054639	23054722	HGNC_Symbol=TNFRSF10A|ENSMBL_id=ENSE00001666256	0	-1
-8	23056773	23056966	HGNC_Symbol=TNFRSF10A|ENSMBL_id=ENSE00000684381	0	-1
-8	23057393	23057435	HGNC_Symbol=TNFRSF10A|ENSMBL_id=ENSE00003545776	0	-1
-8	23058012	23058118	HGNC_Symbol=TNFRSF10A|ENSMBL_id=ENSE00000684374	0	-1
-8	23058194	23058278	HGNC_Symbol=TNFRSF10A|ENSMBL_id=ENSE00001633650	0	-1
-8	23059315	23059437	HGNC_Symbol=TNFRSF10A|ENSMBL_id=ENSE00003496898	0	-1
-8	23060155	23060279	HGNC_Symbol=TNFRSF10A|ENSMBL_id=ENSE00003546909	0	-1
-8	23069623	23069730	HGNC_Symbol=TNFRSF10A|ENSMBL_id=ENSE00003610309	0	-1
-8	23082263	23082644	HGNC_Symbol=TNFRSF10A|ENSMBL_id=ENSE00001217515	0	-1
-8	119935790	119937006	HGNC_Symbol=TNFRSF11B|ENSMBL_id=ENSE00001087245	0	-1
-8	119938727	119938962	HGNC_Symbol=TNFRSF11B|ENSMBL_id=ENSE00003590568	0	-1
-8	119940971	119941173	HGNC_Symbol=TNFRSF11B|ENSMBL_id=ENSE00003651201	0	-1
-8	119945164	119945544	HGNC_Symbol=TNFRSF11B|ENSMBL_id=ENSE00001282303	0	-1
-8	119964025	119964444	HGNC_Symbol=TNFRSF11B|ENSMBL_id=ENSE00001196110	0	-1
-13	32889611	32889809	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00002209788	0	1
-13	32890553	32890669	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00001484009	0	1
-13	32893208	32893467	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00003666217	0	1
-13	32899207	32899326	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00003659301	0	1
-13	32900232	32900292	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00000939162	0	1
-13	32900373	32900424	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00000939163	0	1
-13	32900630	32900755	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00000939164	0	1
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-13	32954138	32954287	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00000939187	0	1
-13	32968820	32969075	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00000939189	0	1
-13	32971029	32971186	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00003560258	0	1
-13	32972293	32973352	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00001184789	0	1
-13	32973740	32973810	HGNC_Symbol=BRCA2|ENSMBL_id=ENSE00002264869	0	1
-17	41197640	41197824	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00001937547	0	-1
-17	41199654	41199725	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00003687053	0	-1
-17	41201132	41201216	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00003628864	0	-1
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-17	41209063	41209157	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00003458468	0	-1
-17	41215344	41215395	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00003672792	0	-1
-17	41215885	41215973	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00003591784	0	-1
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-17	41251786	41251902	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00003642045	0	-1
-17	41256133	41256283	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00003513709	0	-1
-17	41256879	41256978	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00003531836	0	-1
-17	41258467	41258555	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00003541068	0	-1
-17	41267737	41267801	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00003510592	0	-1
-17	41276028	41276137	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00003559512	0	-1
-17	41277282	41277505	HGNC_Symbol=BRCA1|ENSMBL_id=ENSE00001946433	0	-1
diff --git a/scripts/ClinicalPathogenicityComparison/README.md b/scripts/ClinicalPathogenicityComparison/README.md
deleted file mode 100644
index 102a1d8..0000000
--- a/scripts/ClinicalPathogenicityComparison/README.md
+++ /dev/null
@@ -1,44 +0,0 @@
-# Clinival Pathogenicity Comparison
-
-The scripts presented in this can be used to create a single merged dataset using different population datatsets.
-The resulting dataset can be annotated with different kinds of extra information from external sources, for example ClinVar data or CADD scores.
-
-The procedure below tells you how to use these scripts and create your very own merged and annotated population dataset in VCF format.
-
-# dependecies
-The dependencies listed below are need to run the all the scripts, each script has a usage shown when executed without arguments.  
- - Ensembl API : www.ensembl.org/info/docs/api/core/index.html#api
- - Vcftools : http://vcftools.sourceforge.net/downloads.html
- - Tabix : http://www.htslib.org/doc/tabix.html
- - Bgzip : http://www.htslib.org/doc/tabix.html
-
-
-## 1. Datasets
-To start off using these scripts it is needed to get the following datasets.
- - GoNL : https://molgenis26.target.rug.nl/downloads/gonl_public/variants/release5_with_GTC/release5_noContam_noChildren_with_AN_AC_GTC_stripped.tgz + X from release 4
- - 1000 genomes : http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/20130502/
- - ExAC : ftp://ftp.broadinstitute.org/pub/ExAC_release/release0.3/
- - ClinVar : ftp://ftp.ncbi.nlm.nih.gov/pub/clinvar/vcf_GRCh37/clinvar.vcf.gz + ../vcf.gz/tbi
- - CADD : http://cadd.gs.washington.edu/download version 1.2
- - FitCon : http://cadd.gs.washington.edu/download All possible SNVs of GRCh37/hg19 incl. all annotations
- - DANN : https://cbcl.ics.uci.edu/public_data/DANN/data/
-
-## 2. Merging
- By using any merging tool it is possible to create one big file to be used as a template for annotating.
- In the merge folder a script is provided for merging different datasets based on the VCF standard (http://samtools.github.io/hts-specs/VCFv4.3.pdf), however this script will strip away the INFO collumn to ensure a less verbose input file.
-
-## 3. Filtering
- By using the provided CanonicalSeqRetriever script it is possible to get all exonic regions from genome build grch37 (http://www.ncbi.nlm.nih.gov/projects/genome/assembly/grc/human/). 
- The script uses the Ensembl API becouse of this it cannot function without the API being installed. The resulting bed file (canonical_exon_sequences_filtered_headered_sorted.bed) is also located in the Bedfiles folder and has already been sorted and headered and ready for use. There is also a small bed file provided for test purposes.
- 
- With the use of vcftools you can use this bed file (or any bed file) to extract the locations of interest.
- There is a bed file filter script generator available to create bash scripts to conduct this filtering.
- Besides the initial filtering it also compresses the file using bgzip and creates tabix index files for the vcf files.
- 
-## 4. Annotation
- With the use of the molgenis annotators (https://github.com/molgenis/molgenis) it is possible to add the information of other resources to the desired dataset.
- The commandline version only supports VCF files which is provided in annotator folder. A precompiled JAR (Version 1.9) is provided in the annotator folder.
- 
-
-
- 
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/CanonicalSeqRetriever/CanonicalSeqRetriever.pl b/scripts/ClinicalPathogenicityComparison/scripts/CanonicalSeqRetriever/CanonicalSeqRetriever.pl
deleted file mode 100755
index 53bef66..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/CanonicalSeqRetriever/CanonicalSeqRetriever.pl
+++ /dev/null
@@ -1,202 +0,0 @@
-#!/usr/bin/env perl
-
-# This scripts retrieves protein coding canonical exon sequences from EnsEMBL and creates a BED file representing canonical exon ranges.
-# Coded by A.T Miedema (a [dot] t [dot] miedema [at] st [dot] hanze [dot] nl)
-#
-# usage "CanonicalSeqRetriever.pl [output file]"
-
-my $file= "";
-if (@a){
-	$file = $ARGV[0];
-}else{
-	print("This script retrieves protein coding canonical exon sequences from EnsEMBL and creates a BED file representing canonical exon ranges.\n");	
-	print("usage \"CanonicalSeqRetriever.pl [output file]\".\n");
-	exit 0;
-}
-
-# make things easier
-
-use strict;
-use warnings;
-
-# import modules
-use Bio::EnsEMBL::Registry;
-use Data::Dumper;
-
-# setup registry
-my $registry = 'Bio::EnsEMBL::Registry';
-
-# connect to EnsEMBL
-$registry->load_registry_from_db(
-				-host => "ensembldb.ensembl.org",
-                -user => "anonymous",
-				-db_version  => 75
-				);
-
-# Handy function for testing purposes.
-# Prepares a nice toS0tring like function
-sub feature2string
-{
-	my $feature = shift;
-
-	my $stable_id  = $feature->stable_id();
-	my $seq_region = $feature->slice->seq_region_name();
-	my $start      = $feature->start();
-	my $end        = $feature->end();
-	my $strand     = $feature->strand();
-
-	return sprintf( "%s: %s:%d-%d (%+d)",
-		$stable_id, $seq_region, $start, $end, $strand );
-}
-
-# get gene adaptor object from registry for human core
-my $gene_adaptor = $registry->get_adaptor("Human", "Core", "Gene");
-
-
-my %geneSymbolCounts = ();
-my %geneSymbolToBed = ();
-
-my $count = 0;
-# gene symbols with more then one transcripts
-my $geneSymbolMTOTranscripts = 0;
-my $defined_count = 0;
-my $undefined_count = 0;
-
-# get list of gene stable IDs
-my $gene_ids = $gene_adaptor->list_stable_ids();
-#print "Processing " . scalar(@{$gene_ids}) . " gene IDs...\n";
-# traverse gene IDs
-while (my $gene_id = shift(@{$gene_ids})) {
-	
-    # let user know current counts
-    local $| = 1;
-    print "[$count/" . scalar(@{$gene_ids}) . "]\r";
-	
-    # get gene object
-    my $gene = $gene_adaptor->fetch_by_stable_id($gene_id);
-	
-    # get canonical transcript
-    my $canonical_transcript = $gene->canonical_transcript();
-	my $geneSymbol = $gene->external_name;
-	# check if canonical transcript is defined
-    if (defined $canonical_transcript && defined $geneSymbol) {
-
-		# check if transcript is protein coding
-		if(defined $canonical_transcript->translate()){
-			# print("gene name: ",$gene->display_xref()->display_id() , "\n");
-			my $isCorrectExonLocations = 1;
-			my $currChrom = "";
-			
-			# retrieve all exons
-			foreach my $exon ( @{$canonical_transcript->get_all_Exons() } ) {
-				
-				my $estring = feature2string($exon);
-				my @splittedExon = split(":", $estring);
-				$splittedExon[1] =~ s/^\s+|\s+$//g;
-						
-				# Check if the chromosome is not located on a patch contig
-				if ($splittedExon[1] =~ /^[\dXxYyMTmt]+$/){
-					#print($estring, "\n");
-					# BED starts are zero-based and BED ends are one-based.
-					# Hence we need to substract 1 from the exon start to cover the complete region in the BED file.
-					# The other 5 bases is used to increase the window to capture splice variants aswel 
-					my $chrom = $exon->slice->seq_region_name();
-					my $start = $exon->start()-6;
-					my $end = $exon->end()+5;
-					my $name  = "HGNC_Symbol=". $geneSymbol . "|ENSMBL_id=". $exon->stable_id();
-					my $score = "0";
-					my $strand = $exon->strand();
-					my $line = join("\t", $chrom, $start, $end, $name, $score, $strand);
-					
-					if(!exists($geneSymbolToBed{$geneSymbol})){
-
-						$geneSymbolToBed{$geneSymbol} = [$line] ;
-						
-					}else{
-						
-						push ($geneSymbolToBed{$geneSymbol}, $line);
-					}
-					
-					# checks if all exons are on the same chromosome
-					if ($currChrom eq ""){
-						$currChrom = $splittedExon[1];
-					}
-					if(!($currChrom eq $splittedExon[1])){
-						$isCorrectExonLocations = 0;
-					}
-				}
-				
-			}
-			if ($isCorrectExonLocations == 1){
-				$defined_count++;
-				# get gene name by cross referencing and add it to correctly validated ids
-				if(!exists($geneSymbolCounts{$geneSymbol})){
-					$geneSymbolCounts{$geneSymbol} = 1 ;
-				}else{
-					$geneSymbolCounts{$geneSymbol}++; 
-				}
-			}
-					
-			undef $canonical_transcript;			
-		}
-		else{
-			$geneSymbolMTOTranscripts++;
-		}
-		
-	}
-    else {
-        $undefined_count++;
-    }
-    $count++;
-
-    # undef the transcript
-    $canonical_transcript = undef;
-	$gene = undef;
-	$geneSymbol = undef;
-}
-
-
-
-
-open (my $fh, ">>", $file)
-  or die("Error opening $file: $!");
-
-my $badGeneCounts = 0;
-my $goodGeneCounts = 0;
-my $totalGeneSymbols = 0;
-foreach my $key (keys %geneSymbolCounts) {
-	
-	if($geneSymbolCounts{$key} > 1){
-		$badGeneCounts++;
-		$totalGeneSymbols++;
-	}
-	else{
-		if(exists($geneSymbolToBed{$key})){
-			foreach my $bedFileLine (@{$geneSymbolToBed{$key}}){
-				print $fh $bedFileLine."\n";
-			#print($geneSymbolToBed{$key}, "\n");
-			
-			}
-			$goodGeneCounts++;
-			$totalGeneSymbols++;
-		}
-	}
-}
-close $fh;
-
-
-#my $bed_seq			= $ex_seq;
-#my $bed_start		= $ex_start - 1;
-#my $bed_end			= $ex_end;
-#my $bed_annotation	= join('|', 'HGNC_Symbol=' . $hgnc_symbol, 'REFSEQ_ID=' . $hgnc_id, $ex_id, $tr_id, $gene_id);
-
-
-# Show the user some counts of filter steps
-print("Total number of genes without protein coding conanical sequence: ", $geneSymbolMTOTranscripts, "\n");					
-print("Total counts of gene symbols with protein coding canonical sequence: ", $totalGeneSymbols, "\n");
-print("Number of gene symbols which have more than one canonical sequence in ensembl: ", $badGeneCounts, "\n");
-print("Number of passed gene names: ", $goodGeneCounts, "\n");
-# let the user know
-print "$defined_count remained \& $undefined_count filtered in $count.\n";
-print "...done!\n";
-print "Results saved to: ", $file;
\ No newline at end of file
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/analysis/ComparingScoringMethods.R b/scripts/ClinicalPathogenicityComparison/scripts/analysis/ComparingScoringMethods.R
deleted file mode 100644
index 7143748..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/analysis/ComparingScoringMethods.R
+++ /dev/null
@@ -1,596 +0,0 @@
-#############################
-# Comparing Scoring Methods #
-#############################
-# This script can be used to calculate performance differences between three pathogenicity scoring methods (DANN, CADD and FitCon).
-# With the use of Youden's index the performance of scoring pathogenic observed data with the scoring added by DANN, CADD or FitCon.
-# 
-# The results of the analysis shows is a CSV with statistical outcomes for each scoring method of the Youden's index, 
-# the standard error of this index, fishers exact p-value and the prositive predicted values of sample taken from the pathogenicly expected regions having at least 20 variants.
-# Also the amount of True positives, false positives, true negatives and false negatives are given for each scoring method.
-# 
-# 
-
-
-#############
-# libraries #
-#############
-#install.packages("ggplot2")
-#install.packages("stringr")
-#install.packages("getopt")
-#install.packages("VariantAnnotation")
-
-library("ggplot2")
-library("stringr")
-library("VariantAnnotation") 
-library("getopt")
-
-
-#################
-# Youdens index #
-#################
-# a <- correctlyDiagnose (True Positives)
-# b <- falseNegativeDiagnose (False Negatives)
-# c <- falsePositiveDiagnose (False Positives)
-# d <- correctlyDiagnose (True Negatives)
-#
-# Uses the proposed method by Youden et al (http://onlinelibrary.wiley.com/doi/10.1002/1097-0142%281950%293:1%3C32::AID-CNCR2820030106%3E3.0.CO;2-3/epdf)
-# to calculate the index of performance. This index will be 0 when the performance is equal
-# and will reach unitiy if there is less simmilarity between the methods tested.
-#  
-youdensIndex <- function(a, b, c, d){
-  return (((a * d) - (b * c)) / (( a + b ) * ( c + d )))
-}
-
-
-##########################
-# Youdens standard error #
-##########################
-# a <- correctlyDiagnose (True Positives)
-# b <- falseNegativeDiagnose (False Negatives)
-# c <- falsePositiveDiagnose (False Positives)
-# d <- correctlyDiagnose (True Negatives)
-#
-# This function can be used to calculate the standard error of the youdens index.
-# By doing so it is possible to calculate these values between different scoring methods.
-#
-# source: "(http://onlinelibrary.wiley.com/doi/10.1002/1097-0142%281950%293:1%3C32::AID-CNCR2820030106%3E3.0.CO;2-3/epdf)"
-#
-youdensErr <- function(a, b, c, d){
-  return (sqrt(((( a * b ) / ( a + b )^ 3 ) + (( c * d ) / ( c + d )^3 ))))
-}
-
-
-################################
-# youdens index Standard Error #
-################################
-# Calculates the standard error based of two youden indexes from different scoring methods
-#
-# Source: "(http://onlinelibrary.wiley.com/doi/10.1002/1097-0142%281950%293:1%3C32::AID-CNCR2820030106%3E3.0.CO;2-3/epdf)"
-#
-youdensStdErr <- function(youdensErr1, youdensErr2){
-  return (sqrt( ((youdensErr1^2) + (youdensErr2^2)) ))
-}
-
-
-############################
-# T.test for Youdens index #
-############################
-# This t test checks if index1 and index2 differ in their standard error. 
-# If so it indicates a loss or gain in performance between these two different methods.
-#
-# Source: "(http://onlinelibrary.wiley.com/doi/10.1002/1097-0142%281950%293:1%3C32::AID-CNCR2820030106%3E3.0.CO;2-3/epdf)"
-#
-youdens.index.t.test = function(index1, index2,  standardError1, standardError2){
-  diff <- abs( index1 - index2)
-
-  return (diff / (sqrt(((standardError1^2) + (standardError2^2)))))
-}
-
-
-#############
-# multiplot #
-#############
-# Allows for multiplotting based upon the number of columns specified
-# Expects a number of plots to draw.
-#
-multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) {
-  library(grid)
-  
-  # Make a list from the ... arguments and plotlist
-  plots <- c(list(...), plotlist)
-  
-  numPlots = length(plots)
-  
-  # If layout is NULL, then use 'cols' to determine layout
-  if (is.null(layout)) {
-    # Make the panel
-    # ncol: Number of columns of plots
-    # nrow: Number of rows needed, calculated from # of cols
-    layout <- matrix(seq(1, cols * ceiling(numPlots/cols)),
-                     ncol = cols, nrow = ceiling(numPlots/cols))
-  }
-  
-  if (numPlots==1) 
-  {
-    print(plots[[1]])
-    
-  } 
-  else
-  {
-    # Set up the page
-    grid.newpage()
-    pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout))))
-    
-    # Make each plot, in the correct location
-    for (i in 1:numPlots) {
-      # Get the i,j matrix positions of the regions that contain this subplot
-      matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE))
-      
-      print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row,
-                                      layout.pos.col = matchidx$col))
-    }
-  }
-}
-
-
-################
-# analyse.Gene #
-################
-# performs an analysis by vcf object containing info fields derived from the MOLGENIS annotation framework
-# input and a gene name and a boolean indicating if graphs to be plotted or not. 
-#
-#
-analyse.Gene <- function(gene, vcf, plots, plotout){
-  gene.datatable <- as.data.frame(info(vcf)[1:nrow(info(vcf)), 1:11][info(vcf)$GENE_SYMBOL == gene,])
-  
-  colours <- NULL
-#get non pathogenic and pathogenic indici
-  index.nonpathogenic = which( .02 < gene.datatable["GoNL_AF"] )
-  index.nonpathogenic = c(index.nonpathogenic, which(.02 < gene.datatable["Thousand_Genomes_AF"]))
-  index.nonpathogenic = c(index.nonpathogenic, which(.02 < gene.datatable["EXAC_AF"]))
-  index.pathogenic = which( "5" == gene.datatable["CLINVAR_CLNSIG"] )
-# set all colour labels to unknown 
-  colours = rep("Unknown", nrow(gene.datatable))
-  for (i in 1:nrow(gene.datatable["CLINVAR_CLNSIG"]))
-  {
-    elt = gene.datatable$CLINVAR_CLNSIG[[i]]
-    if (0 != length(elt))
-    {
-      if (is.element("5", strsplit(elt, "\\|")[[1]])){
-        index.pathogenic = c(index.pathogenic, i)  
-      }
-    }
-  } 
-# if there are any indexes found indicating pathogenic variants then set the pathogenic colour labels
-  if(length(index.pathogenic) > 0)
-  {
-    colours[index.pathogenic] <- "Pathogenic"
-  }
-# if there are any indexes found indicating Benign variants then set the Benign colour labels
-  if(length(index.nonpathogenic) > 0)
-  {
-    colours[index.nonpathogenic] <- "Benign"
-  }
-  
-# set colour labels to the gene table
-  gene.datatable$colour <- colours
-
-# sort each dataset based on the scoring method
-  gene.datatable.sorted.fitcon <- gene.datatable[order(unlist(gene.datatable["FITCON_SCORE"])),]
-  gene.datatable.sorted.cadd <- gene.datatable[order(unlist(gene.datatable["CADD"])),]
-  gene.datatable.sorted.cadd.scaled <- gene.datatable[order(unlist(gene.datatable["CADD"])),]
-  gene.datatable.sorted.dann <- gene.datatable[order(unlist(gene.datatable["DANN_SCORE"])),]
-
-# get the cutpoints for each scoring method
-  cadd.scaled.cutpoint.index <- treshold.calculate(unlist(gene.datatable.sorted.cadd.scaled["colour"]))
-  cadd.scaled.plot.unknown.turnover.cutoff <- unknown.treshold.calculate(unlist(gene.datatable.sorted.cadd.scaled["colour"]))
-  
-  cadd.cutpoint.index <- treshold.calculate(unlist(gene.datatable.sorted.cadd["colour"]))
-  cadd.plot.unknown.turnover.cutoff <- unknown.treshold.calculate(unlist(gene.datatable.sorted.cadd["colour"]))
-  
-  dann.cutpoint.index <- treshold.calculate(unlist(gene.datatable.sorted.dann["colour"]))
-  dann.plot.unknown.turnover.cutoff <- unknown.treshold.calculate(unlist(gene.datatable.sorted.dann["colour"]))
-  
-  fitcon.cutpoint.index <- treshold.calculate(unlist(gene.datatable.sorted.fitcon["colour"]))
-  fitcon.plot.unknown.turnover.cutoff <- unknown.treshold.calculate(unlist(gene.datatable.sorted.fitcon["colour"]))
- 
-# draw graphs if plots = true
-  if(plots == TRUE){
-    fitcon.plot<-qplot(unlist(gene.datatable.sorted.fitcon["FITCON_SCORE"]), xlab="Fitcon Score", ylab="Counts", main=paste("FitCon score distribution for gene:", gene), fill=factor(unlist(gene.datatable.sorted.fitcon$colour)))
-    cadd.plot<-qplot(unlist(gene.datatable.sorted.cadd["CADD"]), xlab="CADD Score", ylab="Counts", main=paste("CADD score distribution gene:",gene), fill=factor(unlist(gene.datatable.sorted.cadd$colour)))
-    cadd.scaled.plot<-qplot(unlist(gene.datatable.sorted.cadd.scaled["CADD_SCALED"]), xlab="CADD scaled score", ylab="Counts", main=paste("Scaled CADD score distribution for gene:", gene), fill=factor(unlist(gene.datatable.sorted.cadd.scaled$colour)))
-    dann.plot<-qplot(unlist(gene.datatable.sorted.dann["DANN_SCORE"]), xlab="DANN Score", ylab="Counts", main=paste("DANN score distribution for gene:", gene), fill=factor(unlist(gene.datatable.sorted.dann$colour)))
-    
-    cadd.scaled.plot <- cadd.scaled.plot + geom_vline(xintercept = unlist(gene.datatable.sorted.cadd.scaled$CADD_SCALED)[cadd.scaled.cutpoint.index], colour="purple", linetype = "longdash")
-    cadd.scaled.plot <- cadd.scaled.plot + geom_vline(xintercept = unlist(gene.datatable.sorted.cadd.scaled$CADD_SCALED)[cadd.scaled.plot.unknown.turnover.cutoff], colour="orange", linetype = "longdash")
-    cadd.scaled.plot <- cadd.scaled.plot + guides(fill=guide_legend(title="Classification"))
-    
-    dann.plot <- dann.plot + geom_vline(xintercept = unlist(gene.datatable.sorted.dann$DANN_SCORE)[dann.cutpoint.index], colour="purple", linetype = "longdash")
-    dann.plot <- dann.plot + geom_vline(xintercept = unlist(gene.datatable.sorted.dann$DANN_SCORE)[dann.plot.unknown.turnover.cutoff], colour="orange", linetype = "longdash")
-    dann.plot <- dann.plot + guides(fill=guide_legend(title="Classification"))
-    
-    cadd.plot <- cadd.plot + geom_vline(xintercept = unlist(gene.datatable.sorted.cadd$CADD)[cadd.cutpoint.index], colour="purple", linetype = "longdash")
-    cadd.plot <- cadd.plot + geom_vline(xintercept = unlist(gene.datatable.sorted.cadd$CADD)[cadd.plot.unknown.turnover.cutoff], colour="orange", linetype = "longdash")
-    cadd.plot <- cadd.plot + guides(fill=guide_legend(title="Classification"))
-    
-    pdf(paste(plotout, gene, ".pdf", sep=""),width=15, height=7)
-    
-    if(!all(is.nan(unlist(gene.datatable.sorted.fitcon$FITCON_SCORE)) )){
-      fitcon.plot <- fitcon.plot + geom_vline(xintercept = unlist(gene.datatable.sorted.fitcon$FITCON_SCORE)[fitcon.cutpoint.index], colour="purple", linetype = "longdash")
-      fitcon.plot <- fitcon.plot + geom_vline(xintercept = unlist(gene.datatable.sorted.fitcon$FITCON_SCORE)[fitcon.plot.unknown.turnover.cutoff], colour="orange", linetype = "longdash")
-      fitcon.plot <- fitcon.plot + guides(fill=guide_legend(title="Classification"))
-      
-      multiplot(dann.plot, cadd.scaled.plot, cadd.plot, fitcon.plot, cols = 1)
-    }
-    else
-    {
-      multiplot(dann.plot, cadd.scaled.plot, cadd.plot, cols = 1)
-    }
-    
-    dev.off()
-  }
-
-  # get contingency table per method according to colour classification
-  cadd.scaled.contigency.table <- calculate.contigency.table(unlist(gene.datatable.sorted.cadd.scaled["colour"]))
-  cadd.contigency.table <- calculate.contigency.table(unlist(gene.datatable.sorted.cadd["colour"]))
-  fitcon.contigency.table <- calculate.contigency.table(unlist(gene.datatable.sorted.fitcon["colour"]))
-  dann.contigency.table <- calculate.contigency.table(unlist(gene.datatable.sorted.dann["colour"]))
-  
-  # calculate Youden's index per scoring method according to the contigency table
-  cadd.scaled.youden.index <- youdensIndex(cadd.scaled.contigency.table[1,1], cadd.scaled.contigency.table[2,1], cadd.scaled.contigency.table[1,2], cadd.scaled.contigency.table[2,2])
-  cadd.youden.index <-  youdensIndex(cadd.contigency.table[1,1], cadd.contigency.table[2,1], cadd.contigency.table[1,2],cadd.contigency.table[2,2])
-  fitcon.youden.index <-  youdensIndex(fitcon.contigency.table[1,1], fitcon.contigency.table[2,1],fitcon.contigency.table[1,2], fitcon.contigency.table[2,2])
-  dann.youden.index <-  youdensIndex(dann.contigency.table[1,1], dann.contigency.table[2,1], dann.contigency.table[1,2], dann.contigency.table[2,2])
-  
-  # calculate Youden's index per scoring method according to the contigency table according to colour classification
-  cadd.scaled.youden.error <- pathogenicity.method.youden.error(cadd.scaled.contigency.table)
-  cadd.youden.error <- pathogenicity.method.youden.error(cadd.contigency.table)
-  fitcon.youden.error <- pathogenicity.method.youden.error(fitcon.contigency.table)
-  dann.youden.error <- pathogenicity.method.youden.error(dann.contigency.table)
-  
-  # get t-value of difference between two methods based on youden's statistics 
-  #function(index1, index2,  standardError1, standardError2){
-  cadd.scaled.vs.cadd.youden.tvalue <- youdens.index.t.test(cadd.scaled.youden.index, cadd.youden.index, cadd.scaled.youden.error, cadd.youden.error)
-  cadd.scaled.vs.fitcon.youden.tvalue <- youdens.index.t.test(cadd.scaled.youden.index, fitcon.youden.index, cadd.scaled.youden.error, fitcon.youden.error)
-  cadd.scaled.vs.dann.youden.tvalue <- youdens.index.t.test(cadd.scaled.youden.index, dann.youden.index, cadd.scaled.youden.error, dann.youden.error)
-  
-  cadd.vs.cadd.scaled.youden.tvalue <- youdens.index.t.test(cadd.youden.index, cadd.scaled.youden.index, cadd.youden.error, cadd.scaled.youden.error)
-  cadd.vs.fitcon.youden.tvalue <- youdens.index.t.test(cadd.youden.index, fitcon.youden.index, cadd.youden.error, fitcon.youden.error)
-  cadd.vs.dann.youden.tvalue <- youdens.index.t.test(cadd.youden.index, dann.youden.index, cadd.youden.error, dann.youden.error)
-  
-  fitcon.youden.tvalue.vs.cadd.scaled.youden.tvalue <- youdens.index.t.test(fitcon.youden.index, cadd.scaled.youden.index, fitcon.youden.error, cadd.scaled.youden.error)
-  fitcon.youden.tvalue.vs.cadd.youden.tvalue <- youdens.index.t.test(fitcon.youden.index, cadd.youden.error, fitcon.youden.error, cadd.youden.error)
-  fitcon.youden.tvalue.vs.dann.youden.tvalue <- youdens.index.t.test(fitcon.youden.index, dann.youden.index, fitcon.youden.error, dann.youden.error)
-  
-  dann.youden.vs.cadd.scaled.youden.tvalue <- youdens.index.t.test(dann.youden.index, cadd.scaled.youden.index, dann.youden.error, cadd.scaled.youden.error)
-  dann.youden.vs.cadd.youden.tvalue <- youdens.index.t.test(dann.youden.index, cadd.youden.index, dann.youden.error, cadd.youden.error)
-  dann.youden.vs.fitcon.youden.tvalue <- youdens.index.t.test(dann.youden.index, fitcon.youden.index, dann.youden.error, fitcon.youden.error)
-
-# gets the positive predicted values for each scoring method according to the previously determined cutoff index
-  cadd.ppv <- calculate.ppv(unlist(gene.datatable.sorted.cadd$colour)[cadd.plot.unknown.turnover.cutoff:nrow(gene.datatable.sorted.cadd)])
-  fitcon.ppv <- calculate.ppv(unlist(gene.datatable.sorted.fitcon$colour)[fitcon.plot.unknown.turnover.cutoff:nrow(gene.datatable.sorted.fitcon)])
-  dann.ppv <- calculate.ppv(unlist(gene.datatable.sorted.dann$colour)[dann.plot.unknown.turnover.cutoff:nrow(gene.datatable.sorted.dann)])
-  cadd.scaled.ppv <- calculate.ppv(unlist(gene.datatable.sorted.cadd.scaled$colour)[cadd.scaled.plot.unknown.turnover.cutoff:nrow(gene.datatable.sorted.cadd.scaled)])
-
-# calculate fishers exact values according to their colour label 
-  cadd.scaled.fisher <- fisher.test(cadd.scaled.contigency.table)
-  cadd.fisher <- fisher.test(cadd.contigency.table)
-  fitcon.fisher <- fisher.test(fitcon.contigency.table)
-  dann.fisher <- fisher.test(dann.contigency.table)
-
-# calculate the pathogenic and non pathogenic pvalue according to a division made at the middle of the values expecting to have the pathogenic at the high end and Benign at the low end
-  cadd.scaled.fisher.pathogenic <- calculate.fisher(unlist(gene.datatable.sorted.cadd.scaled$colour)[1:round(length(unlist(gene.datatable.sorted.cadd.scaled["colour"]))/2)])
-  cadd.scaled.fisher.nonpathogenic <- calculate.fisher(unlist(gene.datatable.sorted.cadd.scaled$colour)[round(length(unlist(gene.datatable.sorted.cadd.scaled["colour"]))/2): length(unlist(gene.datatable.sorted.cadd.scaled["colour"]))])
-  cadd.fisher.pathogenic <- calculate.fisher(unlist(gene.datatable.sorted.cadd$colour)[1:round(length(unlist(gene.datatable.sorted.cadd["colour"]))/2)])
-  cadd.fisher.nonpathogenic <- calculate.fisher(unlist(gene.datatable.sorted.cadd$colour)[round(length(unlist(gene.datatable.sorted.cadd["colour"]))/2): length(unlist(gene.datatable.sorted.cadd["colour"]))])
-  dann.fisher.pathogenic <- calculate.fisher(unlist(gene.datatable.sorted.dann$colour)[1:round(length(unlist(gene.datatable.sorted.dann["colour"]))/2)])
-  dann.fisher.nonpathogenic <- calculate.fisher(unlist(gene.datatable.sorted.dann$colour)[round(length(unlist(gene.datatable.sorted.dann["colour"]))/2): length(unlist(gene.datatable.sorted.dann["colour"]))])
-  fitcon.fisher.pathogenic <- calculate.fisher(unlist(gene.datatable.sorted.fitcon$colour)[1:round(length(unlist(gene.datatable.sorted.fitcon["colour"]))/2)])
-  fitcon.fisher.nonpathogenic <- calculate.fisher(unlist(gene.datatable.sorted.fitcon$colour)[round(length(unlist(gene.datatable.sorted.fitcon["colour"]))/2): length(unlist(gene.datatable.sorted.fitcon["colour"]))])
-
-  gene.output <- data.frame(
-    genesymbol=gene,
-    cadd.scaled.truepositives=cadd.scaled.contigency.table[1,1],
-    cadd.scaled.falsepositives=cadd.scaled.contigency.table[1,2],
-    cadd.scaled.falsenegatives=cadd.scaled.contigency.table[2,1],
-    cadd.scaled.truenegatives=cadd.scaled.contigency.table[2,2],
-    cadd.truepositives=cadd.contigency.table[1,1],
-    cadd.falsepositives=cadd.contigency.table[1,2],
-    cadd.falsenegatives=cadd.contigency.table[2,1],
-    cadd.truenegatives=cadd.contigency.table[2,2],
-    fitcon.truepositives=fitcon.contigency.table[1,1],
-    fitcon.falsepositives=fitcon.contigency.table[1,2],
-    fitcon.falsenegatives=fitcon.contigency.table[2,1],
-    fitcon.truenegatives=fitcon.contigency.table[2,2],
-    dann.truepositives=dann.contigency.table[1,1],
-    dann.falsepositives=dann.contigency.table[1,2],
-    dann.falsenegatives=dann.contigency.table[2,1],
-    dann.truenegatives=dann.contigency.table[2,2],
-    cadd.ppv=cadd.ppv,
-    fitcon.ppv=fitcon.ppv,
-    dann.ppv=dann.ppv, 
-    cadd.scaled.ppv=cadd.scaled.ppv,
-    cadd.scaled.youden.error=cadd.scaled.youden.error,
-    dann.youden.error=dann.youden.error,
-    fitcon.youden.error=fitcon.youden.error,
-    cadd.youden.error=cadd.youden.error,
-    cadd.scaled.fisher=cadd.scaled.fisher$p.value,
-    cadd.fisher=cadd.fisher$p.value,
-    fitcon.fisher=fitcon.fisher$p.value,
-    dann.fisher=dann.fisher$p.value,
-    cadd.scaled.youden.index=cadd.scaled.youden.index,
-    cadd.youden.index=cadd.youden.index,
-    fitcon.youden.index=fitcon.youden.index,
-    dann.youden.index=dann.youden.index
-  )
-
-  return(gene.output)
-}
-
-
-#################
-# calculate.ppv #
-#################
-# Given a array containing pathogenic, Benign and unknown labels.
-# Calculates the positive predicted values in the array of labels.
-#
-# Returns number of pathogenic labels / total counts of occurences in the array
-calculate.ppv <- function(population){
-  ppv <- 0 
-
-  # ppv = number of pathogenic variants in the population divided by the total population
-  ppv = (length(population[population == "Pathogenic"]) / length(population[population != "Uknown"]))
-
-  return (ppv)
-}
-
-
-#################
-# calculate.contigency.table #
-#################
-# Given a array containing pathogenic, Benign and pathogenic labels.
-# Calculates a contingecy table according to the order of values.
-# pathogenic variants are counted as positive values and benign values are rated as negative values.
-#
-# Returns contingency table according to order of Benign and pathogenic label order in the input.
-calculate.contigency.table<- function(population){
-  falsenegative = 0
-  truenegative = 0
-  falsepositive = 0
-  truepositive = 0
-  
-  #detect the true negatives and the false negatives by counting the inconsistency of order of pathogenic and Benign
-  for(i in 1:length(population)){
-    if(i < length(population)){
-      if(!("Unknown" %in% population[i])){
-        
-        # distinguish between false and true negative values 
-        if("Pathogenic" %in% population[1:i] && "Benign" %in% population[i] ){
-          
-          falsenegative = falsenegative + 1
-        }
-        
-        else if(!("Pathogenic" %in% population[1:i]) && "Benign" %in% population[i] ){
-          truenegativeIndex=i
-          truenegative= truenegative + 1
-        }
-      }
-    }
-  }
-  
-  #detect the true positives and the false positives by counting the inconsistency of the order of pathogenic and Benign
-  for(i in length(population):1){
-    if(i > 1){
-      if(!("Unknown" %in% population[i] )){
-        # distinguish between false and true positive values 
-        if( "Benign" %in% population[i:length(population)] && "Pathogenic" %in% population[i]  ){
-          falsepositive = falsepositive + 1
-        }
-        
-        else if(!("Benign" %in% population[i:length(population)]) && "Pathogenic" %in% population[i] ){
-          truepositive = truepositive + 1
-          
-        }
-      }
-    }
-  }
-  contingency.table<-t(matrix( c(truepositive, falsenegative, falsepositive, truenegative), 2, 2))
-  return(contingency.table)
-}
-
-
-#####################################
-# pathogenicity.method.youden.error #
-#####################################
-# Given a array containing pathogenic, Benign and unknown labels 
-# performs the fishers exact test on the false positives, true positives, 
-# false negatives and true negatives for a population.
-# The values for the fishers test are determined by the order of the array of labels.
-# Benign are expected to be found at the lower indici and pathogenic are expected
-# to be at the end of the array. 
-# Given these assumptions the false negative and positives are determined. 
-# Returns a fishers.test object
-# 
-calculate.fisher <- function(population){
-  falsenegative = 0
-  truenegative = 0
-  falsepositive = 0
-  truepositive = 0
-
-  #detect the true negatives and the false negatives by counting the inconsistency of order of pathogenic and Benign
-  for(i in 1:length(population)){
-    if(i < length(population)){
-      if(!("Unknown" %in% population[i])){
-        
-        # distinguish between false and true negative values 
-        if("Pathogenic" %in% population[1:i] && "Benign" %in% population[i] ){
-          
-          falsenegative = falsenegative + 1
-        }
-        
-        else if(!("Pathogenic" %in% population[1:i]) && "Benign" %in% population[i] ){
-          truenegativeIndex=i
-          truenegative= truenegative + 1
-        }
-      }
-    }
-  }
-
-  #detect the true positives and the false positives by counting the inconsistency of the order of pathogenic and Benign
-  for(i in length(population):1){
-    if(i > 1){
-      if(!("Unknown" %in% population[i] )){
-        # distinguish between false and true positive values 
-        if( "Benign" %in% population[i:length(population)] && "Pathogenic" %in% population[i]  ){
-          falsepositive = falsepositive + 1
-        }
-        
-        else if(!("Benign" %in% population[i:length(population)]) && "Pathogenic" %in% population[i] ){
-          truepositive = truepositive + 1
-          
-        }
-      }
-    }
-  }
-  
-  contingency.table<-t(matrix( c(truepositive, falsenegative, falsepositive, truenegative), 2, 2))
-
-  return(fisher.test(contingency.table))
-}
-
-
-#####################################
-# pathogenicity.method.youden.error #
-#####################################
-# Given a array containing pathogenic and Benign labels 
-# calculates the Youdens standard error for a population.
-# The Youdens standard error is calculated by assessing the false negative, false positive, true positive and true negative 
-# 
-pathogenicity.method.youden.error <- function(contingency.table){
-  truepositive = contingency.table[1,1]
-  falsepositive = contingency.table[1,2]
-  falsenegative = contingency.table[2,1]
-  truenegative = contingency.table[2,2]
-
-  youdens.err<-youdensErr(truepositive, falsenegative, falsepositive, truenegative)
-  return (youdens.err)
-}
-
-
-##############################
-# unknown.treshold.calculate #
-##############################
-# Given a array containing pathogenic and unknown labels 
-# calculates the index of the threshold for the ratio of pathogenic and unknown labels in a population.
-# the threshold is set at 0.2 unknown labels
-# The index is of the first point reaching this threshold in a population of atleast 20 is returned
-# 
-unknown.treshold.calculate <- function(population){
-  index = 0
-  pathogenic.count = 0
-  unknown.count = 0
-  counts = 0
-  #check when the first uncertainty occurs
-  for(i in length(population):1){
-    counts = counts + 1
-    if( "Unknown" %in% population[i]){
-      unknown.count <- unknown.count + 1
-    
-    }else if( "Pathogenic"  %in% population[i]){
-      pathogenic.count <- pathogenic.count + 1
-    }
-    if(pathogenic.count != 0 || unknown.count != 0 ){
-   
-      if((unknown.count / (pathogenic.count+unknown.count) ) > 0.20){
-        index <- i
-        if (counts > 20){
-          index <- index - 1
-          if(pathogenic.count == 0 ){
-            index = length(population)
-          }
-          break
-        }
-      }
-    }
-  }
-
-  #exclude faulty value so plus one to the index
-  return(index)
-}
-
-######################
-# treshold.calculate #
-######################
-# Given a array containing Benign and pathogenic labels
-# calculates the index of the threshold for the last 
-# occurrence of a Benign label and returns the index
-# 
-treshold.calculate <- function(population){
-  index = 0
-  #check when the first uncertainty occurs
-  for(i in length(population):1){
-    if( "Benign" %in% population[i]){
-      index = i 
-      break
-    }
-  }
-  #exclude faulty value so plus one to the index
-  index = index+1
-  return(index)
-}
-
-
-##########################
-# annotated VCF analysis #
-##########################
-spec <- matrix(c(
-  'input'     , 'i', 1, "character", "input VCF file annotated using the molgenis annotation software, following fields are required in the info collumn        
-   CADD                      Float 
-   CADD_SCALED               Float 
-   GoNL_GTC                  String
-   GoNL_AF                   String
-   Thousand_Genomes_AF       String
-   EXAC_AF                   String
-   FITCON_SCORE              Float 
-   DANN_SCORE                Float 
-   CLINVAR_CLNSIG            String
-   CLINVAR_CLNALLE           String
-   GENE_SYMBOL               String",
-  'out'     , 'o', 1, "character", "ouput CSV path + filename of annotated vcf-file analysis",
-  'plot'    , 'p', 1, "character", "T for plot output and F for no plot output, defaults to false",
-  'pout'    , 'q', 1, "character", "Ouput directory to write png graphs of the analysis, every gene will generate 1 plot. gene name will be used as file name",
-  'help'   , 'h', 0, "logical",   "this help"
-),ncol=5,byrow=T)
-
-# parse commandline option
-opt = getopt(spec);
-
-# check all arguments are present or help option is present, if needed show usage
-if(!is.null(opt$help) || is.null(opt$input) || is.null(opt$out)){
-  cat(paste(getopt(spec, usage=T),"\n"));
-  q()
-}
-
-# set default plot options if needed
-if (is.null(opt$plot)){
-  opt$plot <- F
-}
-
-# check for plot output dir
-if (opt$plot){
-  if(is.null(opt$pout)){
-    cat(paste(getopt(spec, usage=T),"\n"));
-    q()
-  }
-}
-
-# start analysis
-vcf.file<-readVcf(opt$input, "hg19")
-genes <- unique(info(vcf.file)$GENE_SYMBOL)
-print(paste(c("## starting analysis of: ", opt$input)))
-results.cgd.df<-lapply(genes, analyse.Gene, vcf=vcf.file, plots=opt$plot, plotout=opt$pout)
-df.results<-do.call("rbind", results.cgd.df)
-print(paste(c(opt$out,".csv"), sep=""))
-write.table(df.results, file = opt$out, sep = "\t", col.names = NA, qmethod = "double")
-
-print("#### done######")
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/annotator/CmdLineAnnotator.jar b/scripts/ClinicalPathogenicityComparison/scripts/annotator/CmdLineAnnotator.jar
deleted file mode 100644
index da21faf..0000000
Binary files a/scripts/ClinicalPathogenicityComparison/scripts/annotator/CmdLineAnnotator.jar and /dev/null differ
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr1.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr1.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 3769ecc..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr1.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr1.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr1.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr1.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr1.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr1.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr1.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr10.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr10.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 766f139..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr10.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr10.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr10.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr10.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr10.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr10.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr10.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr11.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr11.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index fd1d4ca..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr11.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr11.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr11.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr11.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr11.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr11.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr11.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr12.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr12.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 5e13e59..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr12.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr12.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr12.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr12.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr12.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr12.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr12.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr13.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr13.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 89fba5c..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr13.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr13.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr13.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr13.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr13.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr13.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr13.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr14.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr14.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index a2f4388..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr14.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr14.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr14.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr14.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr14.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr14.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr14.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr15.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr15.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index c5f7cdf..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr15.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr15.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr15.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr15.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr15.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr15.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr15.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr16.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr16.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 3810ebf..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr16.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr16.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr16.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr16.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr16.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr16.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr16.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr17.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr17.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 39c12b4..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr17.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr17.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr17.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr17.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr17.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr17.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr17.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr18.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr18.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 76afa9a..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr18.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr18.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr18.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr18.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr18.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr18.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr18.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr19.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr19.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 4b5da18..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr19.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr19.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr19.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr19.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr19.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr19.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr19.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr2.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr2.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 55a972b..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr2.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr2.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr2.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr2.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr2.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr2.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr2.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr20.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr20.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index f20a6f9..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr20.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr20.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr20.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr20.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr20.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr20.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr20.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr21.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr21.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 8adc0bb..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr21.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr21.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr21.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr21.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr21.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr21.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr21.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr22.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr22.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index c7cbcab..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr22.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr22.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr22.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr22.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr22.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr22.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr22.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr3.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr3.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 2ebd77a..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr3.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr3.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr3.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr3.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr3.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr3.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr3.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr4.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr4.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index bb1eb77..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr4.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr4.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr4.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr4.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr4.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr4.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr4.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr5.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr5.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index fdb1740..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr5.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr5.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr5.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr5.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr5.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr5.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr5.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr6.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr6.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 3cd0a64..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr6.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr6.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr6.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr6.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr6.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr6.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr6.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr7.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr7.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 6bc7c1e..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr7.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr7.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr7.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr7.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr7.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr7.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr7.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr8.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr8.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 57ee668..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr8.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr8.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr8.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr8.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr8.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr8.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr8.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr9.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr9.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 864311f..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chr9.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chr9.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chr9.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chr9.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chr9.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chr9.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chr9.phase3_shapeit2_mvncall_integrated_v5.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chrX.phase3_shapeit2_mvncall_integrated.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chrX.phase3_shapeit2_mvncall_integrated.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index fc9f30a..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chrX.phase3_shapeit2_mvncall_integrated.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chrX.phase3_shapeit2_mvncall_integrated.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chrX.phase3_shapeit2_mvncall_integrated.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chrX.phase3_shapeit2_mvncall_integrated.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chrX.phase3_shapeit2_mvncall_integrated.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chrX.phase3_shapeit2_mvncall_integrated.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chrX.phase3_shapeit2_mvncall_integrated.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chrY.phase3_integrated.20130502.genotypes.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chrY.phase3_integrated.20130502.genotypes.vcf.gz.gz.sh
deleted file mode 100644
index 35baa84..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chrY.phase3_integrated.20130502.genotypes.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chrY.phase3_integrated.20130502.genotypes.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chrY.phase3_integrated.20130502.genotypes.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chrY.phase3_integrated.20130502.genotypes.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chrY.phase3_integrated.20130502.genotypes.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chrY.phase3_integrated.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chrY.phase3_integrated.20130502.genotypes.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chrY.phase3_integrated.20130502.sites.vcf.gz.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chrY.phase3_integrated.20130502.sites.vcf.gz.gz.sh
deleted file mode 100644
index 514cc38..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/1000G/bed_filtered.gtc.ALL.chrY.phase3_integrated.20130502.sites.vcf.gz.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/1000G/unfiltered/gtc.ALL.chrY.phase3_integrated.20130502.sites.vcf.gz.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gtc.ALL.chrY.phase3_integrated.20130502.sites.vcf.gz.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/filtered.gtc.ALL.chrY.phase3_integrated.20130502.sites.vcf.gz.gz.log
-bgzip -c ./filtered.gtc.ALL.chrY.phase3_integrated.20130502.sites.vcf.gz.gz.recode.vcf > ./filtered.gtc.ALL.chrY.phase3_integrated.20130502.sites.vcf.gz.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gtc.ALL.chrY.phase3_integrated.20130502.sites.vcf.gz.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr1.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr1.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 4a1d016..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr1.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr1.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr1.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr1.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr1.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr1.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr1.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr10.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr10.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 6718c05..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr10.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr10.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr10.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr10.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr10.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr10.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr10.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr11.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr11.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 4d67f9e..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr11.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr11.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr11.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr11.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr11.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr11.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr11.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr12.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr12.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 5763201..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr12.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr12.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr12.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr12.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr12.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr12.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr12.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr13.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr13.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index db157aa..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr13.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr13.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr13.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr13.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr13.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr13.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr13.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr14.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr14.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 58b4fa3..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr14.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr14.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr14.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr14.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr14.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr14.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr14.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr15.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr15.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index ec7815e..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr15.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr15.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr15.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr15.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr15.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr15.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr15.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr16.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr16.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 6b9a8e9..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr16.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr16.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr16.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr16.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr16.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr16.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr16.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr17.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr17.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index d6b2379..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr17.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr17.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr17.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr17.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr17.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr17.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr17.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr18.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr18.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 4b59892..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr18.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr18.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr18.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr18.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr18.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr18.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr18.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr19.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr19.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 28d620b..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr19.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr19.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr19.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr19.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr19.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr19.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr19.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr2.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr2.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 06d4562..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr2.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr2.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr2.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr2.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr2.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr2.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr2.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr20.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr20.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 9e2cd59..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr20.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr20.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr20.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr20.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr20.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr20.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr20.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr21.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr21.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 102c276..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr21.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr21.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr21.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr21.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr21.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr21.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr21.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr22.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr22.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index fd5f06f..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr22.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr22.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr22.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr22.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr22.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr22.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr22.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr3.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr3.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index ab3f903..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr3.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr3.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr3.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr3.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr3.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr3.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr3.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr4.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr4.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index f1545fc..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr4.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr4.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr4.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr4.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr4.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr4.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr4.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr5.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr5.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 860fdd5..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr5.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr5.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr5.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr5.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr5.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr5.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr5.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr6.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr6.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index c5deda9..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr6.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr6.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr6.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr6.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr6.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr6.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr6.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr7.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr7.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 3008528..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr7.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr7.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr7.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr7.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr7.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr7.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr7.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr8.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr8.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 4eaaff2..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr8.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr8.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr8.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr8.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr8.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr8.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr8.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr9.snps_indels.r5.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr9.snps_indels.r5.vcf.gz.sh
deleted file mode 100644
index 0839b1e..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chr9.snps_indels.r5.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chr9.snps_indels.r5.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chr9.snps_indels.r5.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chr9.snps_indels.r5.vcf.gz.log
-bgzip -c ./filtered.gonl.chr9.snps_indels.r5.vcf.gz.recode.vcf > ./filtered.gonl.chr9.snps_indels.r5.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chr9.snps_indels.r5.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chrX.release4.gtc.vcf.gz.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chrX.release4.gtc.vcf.gz.sh
deleted file mode 100644
index 57ea6df..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_files/GoNl/bed_filtered.gonl.chrX.release4.gtc.vcf.gz.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_gonl_vcf_fill_err_log
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/err_log/err_log.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered
-
-vcftools --gzvcf /gcc/groups/gcc/tmp01/bmiedema/data/gonl/unfiltered/gonl.chrX.release4.gtc.vcf.gz --bed /gcc/groups/gcc/tmp01/bmiedema/scripts/vcf-filter-batch/canonical_exon_sequences_filtered_headered_sorted.bed --out filtered.gonl.chrX.release4.gtc.vcf.gz --recode --remove-indels --recode-INFO-all > /gcc/groups/gcc/tmp01/bmiedema/data/gonl/filtered/filtered.gonl.chrX.release4.gtc.vcf.gz.log
-bgzip -c ./filtered.gonl.chrX.release4.gtc.vcf.gz.recode.vcf > ./filtered.gonl.chrX.release4.gtc.vcf.gz.recode.vcf.gz
-tabix -s 1 -b 2 -e 3 ./filtered.gonl.chrX.release4.gtc.vcf.gz.recode.vcf.gz
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_generators/bed_filter_batch_generator.sh b/scripts/ClinicalPathogenicityComparison/scripts/batch_generators/bed_filter_batch_generator.sh
deleted file mode 100755
index 6a1fc0e..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_generators/bed_filter_batch_generator.sh
+++ /dev/null
@@ -1,52 +0,0 @@
-#!/bin/sh
-
-##
-# bed_filter_batch_generator.sh <path to folder containing vcf files>
-##
-# B Miedema
-##
-# This script generates bash scripts for filtering vcf files based on locations in canonical_exon_sequences_filtered_headered_sorted.bed file.
-# It also bgzips and generates Tabix index files for these vcf files, the original filtered vcf is also maintained.
-# 
-# Requires a template script located in the same folder as this script. The template script is left intact.
-# 
-# output: bash scripts to be deployed run for filtering vcf files on locations in canonical_exon_sequences_filtered_headered_sorted.bed bedfilefunction.
-# These scripts can be run on the cluster. The output scripts are named in this form: bed_filtered.<VCFfile name>.sh.
-##
-
-currentDir=${PWD}
-pathToVcfFiles=$1
-bedFile=$2
-
-if [ "$1" = "" ]; then 
-	echo "This script generates bash scripts for filtering vcf files based on genomic locations specified in supplied BED file."
-	echo "It also bgzips and generates Tabix index files for the filtered vcf files, the original filtered vcf is also maintained."
-	echo "Requires a template script located in the same folder as this script. The template script is left intact.\n"
-	echo "Also requires and installation of VCFtools (at least 1.12b), tabix and bgzip. "
-	echo "output: bash scripts with a bed filtering command specified by the commandline option bed file."
-	echo "usage: bed_filter_batch_generator.sh <path to folder containing vcf files> <bedfile>"
-
-	exit
-fi
-
-cd $pathToVcfFiles
-for item in $( ls -1 *.vcf.gz.gz ); do
-	cd $currentDir
-	
-	strippedFileName=${item/\//_}  
-	
-	BgZipCmd="bgzip -c ./filtered.${strippedFileName}.recode.vcf > ./filtered.${strippedFileName}.recode.vcf.gz"
-	TabixCmd="tabix -s 1 -b 2 -e 3 ./filtered.${strippedFileName}.recode.vcf.gz"
-	bedFilterCommand="vcftools --gzvcf ${pathToVcfFiles}${item} --bed ${bedFile} --out filtered.${strippedFileName} --recode --remove-indels --recode-INFO-all > ${outputPath}filtered.${item}.log"
-	
-	sed "s|<line>|${bedFilterCommand}|g" bedfilter.template > bed_filtered.${item}.sh
-	sed -i "s|<bgzip>|${BgZipCmd}|g" bed_filtered.${item}.sh
-	sed -i "s|<tabix>|${TabixCmd}|g" bed_filtered.${item}.sh
-	sed -i "s|<INPUT>|err_log|g"  bed_filtered.${item}.sh
-	
-	bedFilterComand=""
-    done
-echo "DONE! wrote output to $outputPath"
-	
-
-
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/batch_generators/bedfilter.template b/scripts/ClinicalPathogenicityComparison/scripts/batch_generators/bedfilter.template
deleted file mode 100755
index e341dfd..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/batch_generators/bedfilter.template
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/sh
-#PBS -N bmiedema_1000g_vcf_fill_<INPUT>
-#PBS -q devel
-#PBS -l nodes=1:ppn=1
-#PBS -l walltime=24:00:00
-#PBS -l mem=2gb
-#PBS -l file=1gb
-#PBS -e /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/<INPUT>.err
-#PBS -o /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered/err_log/<INPUT>.out
-
-export PERL5LIB="/gcc/tools/Perl/lib/perl5/:${PERL5LIB}"
-
-module load vcftools
-
-cd /gcc/groups/gcc/tmp01/bmiedema/data/1000G/filtered
-
-<line>
-<bgzip>
-<tabix>
diff --git a/scripts/ClinicalPathogenicityComparison/scripts/merge/MergeDatasets.sh b/scripts/ClinicalPathogenicityComparison/scripts/merge/MergeDatasets.sh
deleted file mode 100755
index 9074ac8..0000000
--- a/scripts/ClinicalPathogenicityComparison/scripts/merge/MergeDatasets.sh
+++ /dev/null
@@ -1,87 +0,0 @@
-#!/usr/local/bin/bash
-
-##
-# MergeDatasets.sh <dataset_1> <dataset_2> <dataset_N> > <output_file>/bgzip <outputfile>
-##
-# B Miedema
-##
-# This scripts merges two or more vcf files into one vcf file and strips away all info data
-#
-##
-#  
-# 
-
-vcfFiles=($@)
-
-if [ ${#vcfFiles[@]} -eq 0 ]; then 
-	echo "This scripts merges two or more vcf files into one vcf file and strips away all info data"
-	echo "usage: This scripts merges two or more vcf files into one vcf file and strips away all info data"
-fi
-
-lines=()
-header=()
-
-
-Exists (){
-  if [ "$2" != in ]; then
-    echo "Incorrect usage."
-    echo "Correct usage: exists {key} in {array}"
-    return
-  fi   
-  eval '[ ${'$3'[$1]+muahaha} ]'  
-}
-
-declare -A variantLines
-headerPresent="false"
-
-for item in ${vcfFiles[@]}
-do
-	while read ln; do 
-		if [[ ${ln} == "#"* ]];
-			then
-			if [ ${headerPresent} == "false" ]; 
-			then			
-				if [[ ${ln} != "##"*"INFO"* ]];
-				then
-					echo ${ln[@]}
-				fi
-			fi
-		else
-			IFS=$'\t' read -r -a VcfFileLineCollumns <<< "$ln"
-			
-			IFS=$',' read -r -a altAlleles <<< "${VcfFileLineCollumns[4]}"
-			
-			for altAllele in ${altAlleles[@]};do
-				
-			
-				
-				key="${VcfFileLineCollumns[0]}:${VcfFileLineCollumns[1]}:${VcfFileLineCollumns[3]}:${altAllele}"
-				
-			
-				if Exists key in variantLines;
-				then
-					variantLines[${key}]=variantLines[${key}]+1
-				else
-					variantLines[${key}]="${VcfFileLineCollumns[0]}\t${VcfFileLineCollumns[1]}\t${VcfFileLineCollumns[2]}\t${VcfFileLineCollumns[3]}\t${altAllele}\t${VcfFileLineCollumns[5]}\t${VcfFileLineCollumns[6]}\t."
-				fi
-			done	
-		fi
-			
-	done < <(gzcat ${item})
-	
-	headerPresent="true"
-done
-
-for line in ${variantLines[@]};
-do
-	echo -e $line
-done
-
-
-
-
-
-
-
-
-