changeset 0:ceef9bc6bbc7 draft

planemo upload for repository https://github.com/genouest/galaxy-tools/tree/master/tools/askor commit 08a187f91ba050d584e586d2fcc99d984dac607c
author genouest
date Thu, 12 Apr 2018 05:23:45 -0400
parents
children 6bbc90a11c3f
files AskoR.R AskoR_DE.R askor_de.xml test-data/AskoAvsK.txt test-data/AskoT1AvsT1K.txt test-data/AskoT1vsT0.txt test-data/AskoT1vsT2.txt test-data/Contrasts.txt test-data/Samples.txt test-data/condition.asko.txt test-data/context.asko.txt test-data/contrast.asko.txt test-data/counts.csv test-data/out.pdf
diffstat 14 files changed, 2010 insertions(+), 0 deletions(-) [+]
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/AskoR.R	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,651 @@
+asko3c <- function(data_list){
+  asko<-list()
+
+  ######### Condition ############
+
+  condition<-unique(data_list$samples$condition)                                                 # retrieval of different condition's names
+  col1<-which(colnames(data_list$samples)=="condition")                                          # determination of number of the column "condition"
+  colcol<-which(colnames(data_list$samples)=="color")
+  if(is.null(parameters$fileofcount)){
+    col2<-which(colnames(data_list$samples)=="file")                                          # determination of number of the column "replicate"
+    column_name<-colnames(data_list$samples[,c(-col1,-col2,-colcol)])    # retrieval of column names needful to create the file condition
+  }else{column_name<-colnames(data_list$samples[,c(-col1,-colcol)])}
+  condition_asko<-data.frame(row.names=condition)                                           # initialization of the condition's data frame
+  #level<-list()                                                                             # initialization of the list will contain the level
+                                                                                            # of each experimental factor
+  for (name in column_name){                                                                # for each experimental factor :
+    # if(str_detect(name, "condition")){                                                      # for the column of conditions, the level is fixed to 0 because
+    #   level<-append(level, 0)                                                               # "condition" must be the first column of the data frame
+    # }else{                                                                                  #
+    #   level<-append(level, length(levels(data_list$samples[,name])))                             # adding to the list the level of other experimental factors
+    # }
+    #
+    condition_asko$n<-NA                                                                    # initialization of new column in the condition's data frame
+    colnames(condition_asko)[colnames(condition_asko)=="n"]<-name                           # to rename the new column with with the name of experimental factor
+    for(condition_name in condition){                                                       # for each condition's names
+      condition_asko[condition_name,name]<-as.character(unique(data_list$samples[data_list$samples$condition==condition_name, name]))
+    }                                                                                       # filling the condition's data frame
+  }
+  # order_level<-order(unlist(level))                                                         # list to vector
+  # condition_asko<-condition_asko[,order_level]                                              # order columns according to their level
+  #asko$condition<-condition_asko                                                            # adding data frame of conditions to asko object
+
+  #print(condition_asko)
+
+
+  #############contrast + context##################
+  i=0
+
+  contrast_asko<-data.frame(row.names = colnames(data_list$contrast))           # initialization of the contrast's data frame
+  contrast_asko$Contrast<-NA                                                    # all columns are created et initialized with
+  contrast_asko$context1<-NA                                                    # NA values
+  contrast_asko$context2<-NA                                                    #
+
+  list_context<-list()                                                          # initialization of context and condition lists
+  list_condition<-list()                                                        # will be used to create the context data frame
+  if(parameters$mk_context==TRUE){
+    for (contrast in colnames(data_list$contrast)){                               # for each contrast :
+    i=i+1                                                                       # contrast data frame will be filled line by line
+    #print(contrast)
+    set_cond1<-row.names(data_list$contrast)[data_list$contrast[,contrast]>0]  # retrieval of 1st set of condition's names implicated in a given contrast
+    set_cond2<-row.names(data_list$contrast)[data_list$contrast[,contrast]<0] # retrieval of 2nd set of condition's names implicated in a given contrast
+    parameters<-colnames(condition_asko)                                        # retrieval of names of experimental factor
+    print(paste("set_cond1 : ", set_cond1, sep = ""))
+    # print(length(set_cond1))
+    print(paste("set_cond2 : ", set_cond2, sep = ""))
+    # print(length(set_cond2))
+    if(length(set_cond1)==1){complex1=F}else{complex1=T}# to determine if we have complex contrast (multiple conditions
+    if(length(set_cond2)==1){complex2=F}else{complex2=T}# compared to multiple conditions) or not
+    #print(complex1)
+    if(complex1==F && complex2==F){                                             # Case 1: one condition against one condition
+      contrast_asko[i,"context1"]<-set_cond1                                    # filling contrast data frame with the name of the 1st context
+      contrast_asko[i,"context2"]<-set_cond2                                    # filling contrast data frame with the name of the 2nd context
+      contrast_name<-paste(set_cond1,set_cond2, sep = "vs")                     # creation of contrast name by associating the names of contexts
+      contrast_asko[i,"Contrast"]<-contrast_name                                # filling contrast data frame with contrast name
+      list_context<-append(list_context, set_cond1)                             #
+      list_condition<-append(list_condition, set_cond1)                         # adding respectively to the lists "context" and "condition" the context name
+      list_context<-append(list_context, set_cond2)                             # and the condition name associated
+      list_condition<-append(list_condition, set_cond2)                         #
+    }
+    if(complex1==F && complex2==T){                                             # Case 2: one condition against multiple condition
+      contrast_asko[i,"context1"]<-set_cond1                                    # filling contrast data frame with the name of the 1st context
+      list_context<-append(list_context, set_cond1)                             # adding respectively to the lists "context" and "condition" the 1st context
+      list_condition<-append(list_condition, set_cond1)                         # name and the condition name associated
+      l=0
+                                                                                # "common_factor" will contain the common experimental factors shared by
+      common_factor=list()                                                      # conditions belonging to the complex context
+      for (param_names in parameters){                                          # for each experimental factor
+        facteur<-unique(c(condition_asko[,param_names]))                        # retrieval of possible values for the experimental factor
+        l=l+1                                                                   #
+        for(value in facteur){                                                  # for each possible values
+          verif<-unique(str_detect(set_cond2, value))                           # verification of the presence of values in each condition contained in the set
+          if(length(verif)==1 && verif==TRUE){common_factor[l]<-value}          # if verif contains only TRUE, value of experimental factor
+        }                                                                       # is added as common factor
+      }
+      if(length(common_factor)>1){                                              # if there are several common factor
+        common_factor<-toString(common_factor)                                  # the list is converted to string
+        contx<-str_replace(common_factor,", ","")
+        contx<-str_replace_all(contx, "NULL", "")}else{contx<-common_factor}    # and all common factor are concatenated to become the name of context
+      contrast_asko[i,"context2"]<-contx                                        # filling contrast data frame with the name of the 2nd context
+      contrast_name<-paste(set_cond1,contx, sep = "vs")                         # concatenation of context names to make the contrast name
+      contrast_asko[i,"Contrast"]<-contrast_name                                # filling contrast data frame with the contrast name
+      for(j in 1:length(set_cond2)){                                            # for each condition contained in the complex context (2nd):
+        list_context<-append(list_context, contx)                               # adding condition name with the context name associated
+        list_condition<-append(list_condition, set_cond2[j])                    # to their respective list
+      }
+    }
+    if(complex1==T && complex2==F){                                             # Case 3: multiple conditions against one condition
+      contrast_asko[i,"context2"]<-set_cond2                                    # filling contrast data frame with the name of the 2nd context
+      list_context<-append(list_context, set_cond2)                             # adding respectively to the lists "context" and "condition" the 2nd context
+      list_condition<-append(list_condition, set_cond2)                         # name and the 2nd condition name associated
+      l=0
+                                                                                # "common_factor" will contain the common experimental factors shared by
+      common_factor=list()                                                      # conditions belonging to the complex context
+      for (param_names in parameters){                                          # for each experimental factor:
+        facteur<-unique(c(condition_asko[,param_names]))                        # retrieval of possible values for the experimental factor
+        l=l+1
+        for(value in facteur){                                                  # for each possible values:
+          verif<-unique(str_detect(set_cond1, value))                           # verification of the presence of values in each condition contained in the set
+          if(length(verif)==1 && verif==TRUE){common_factor[l]<-value}          # if verif contains only TRUE, value of experimental factor
+        }                                                                       # is added as common factor
+      }
+      if(length(common_factor)>1){                                              # if there are several common factor
+        common_factor<-toString(common_factor)                                  # the list is converted to string
+        contx<-str_replace(common_factor,", ","")
+        contx<-str_replace_all(contx, "NULL", "")}else{contx<-common_factor}   # and all common factor are concatenated to become the name of context
+      contrast_asko[i,"context1"]<-contx                                        # filling contrast data frame with the name of the 1st context
+      contrast_name<-paste(contx,set_cond2, sep = "vs")                         # concatenation of context names to make the contrast name
+      contrast_asko[i,"Contrast"]<-contrast_name                                # filling contrast data frame with the contrast name
+      for(j in 1:length(set_cond1)){                                            # for each condition contained in the complex context (1st):
+        list_context<-append(list_context, contx)                               # adding condition name with the context name associated
+        list_condition<-append(list_condition, set_cond1[j])                    # to their respective list
+      }
+    }
+    if(complex1==T && complex2==T){                                             # Case 4: multiple conditions against multiple conditions
+      m=0                                                                       #
+      n=0                                                                       #
+      common_factor1=list()                                                     # list of common experimental factors shared by conditions of the 1st context
+      common_factor2=list()                                                     # list of common experimental factors shared by conditions of the 2nd context
+      w=1
+      for (param_names in parameters){                                          # for each experimental factor:
+        print(w)
+        w=w+1
+        facteur<-unique(c(condition_asko[,param_names]))                        # retrieval of possible values for the experimental factor
+        print(paste("facteur : ", facteur, sep=""))
+        for(value in facteur){                                                  # for each possible values:
+          print(value)
+          #print(class(value))
+          #print(set_cond1)
+          verif1<-unique(str_detect(set_cond1, value))                          # verification of the presence of values in each condition
+                                                                                # contained in the 1st context
+          verif2<-unique(str_detect(set_cond2, value))                          # verification of the presence of values in each condition
+                                                                                # contained in the 2nd context
+
+          if(length(verif1)==1 && verif1==TRUE){m=m+1;common_factor1[m]<-value} # if verif=only TRUE, value of experimental factor is added as common factor
+          if(length(verif2)==1 && verif2==TRUE){n=n+1;common_factor2[n]<-value} # if verif=only TRUE, value of experimental factor is added as common factor
+        }
+      }
+      print(paste("common_factor1 : ",common_factor1,sep=""))
+      print(paste("common_factor2 : ",common_factor2,sep=""))
+
+      if(length(common_factor1)>1){                                             # if there are several common factor for conditions in the 1st context
+        common_factor1<-toString(common_factor1)                                # conversion list to string
+        contx1<-str_replace(common_factor1,", ","")}else{contx1<-common_factor1}# all common factor are concatenated to become the name of context
+      contx1<-str_replace_all(contx1, "NULL", "")
+      print(paste("contx1 : ", contx1, sep=""))
+      if(length(common_factor2)>1){                                             # if there are several common factor for conditions in the 2nd context
+        common_factor2<-toString(common_factor2)                                # conversion list to string
+        contx2<-str_replace(common_factor2,", ","")}else{contx2<-common_factor2}# all common factor are concatenated to become the name of context
+      contx2<-str_replace_all(contx2, "NULL", "")
+      print(paste("contx2 : ", contx2, sep=""))
+      contrast_asko[i,"context1"]<-contx1                                       # filling contrast data frame with the name of the 1st context
+      contrast_asko[i,"context2"]<-contx2                                       # filling contrast data frame with the name of the 2nd context
+      contrast_asko[i,"Contrast"]<-paste(contx1,contx2, sep = "vs")             # filling contrast data frame with the name of the contrast
+      for(j in 1:length(set_cond1)){                                            # for each condition contained in the complex context (1st):
+        list_context<-append(list_context, contx1)                              # verification of the presence of values in each condition
+        list_condition<-append(list_condition, set_cond1[j])                    # contained in the 1st context
+      }
+      for(j in 1:length(set_cond2)){                                            # for each condition contained in the complex context (2nd):
+        list_context<-append(list_context, contx2)                              # verification of the presence of values in each condition
+        list_condition<-append(list_condition, set_cond2[j])                    # contained in the 1st context
+      }
+    }
+    }
+  }
+  else{
+    for (contrast in colnames(data_list$contrast)){
+      i=i+1
+      contexts=strsplit2(contrast,"vs")
+      contrast_asko[i,"Contrast"]<-contrast
+      contrast_asko[i,"context1"]=contexts[1]
+      contrast_asko[i,"context2"]=contexts[2]
+      set_cond1<-row.names(data_list$contrast)[data_list$contrast[,contrast]>0]
+      set_cond2<-row.names(data_list$contrast)[data_list$contrast[,contrast]<0]
+      for (cond1 in set_cond1){
+#        print(contexts[1])
+ #       print(cond1)
+        list_context<-append(list_context, contexts[1])
+        list_condition<-append(list_condition, cond1)
+      }
+      for (cond2 in set_cond2){
+        list_context<-append(list_context, contexts[2])
+        list_condition<-append(list_condition, cond2)
+      }
+    }
+  }
+
+  list_context<-unlist(list_context)   # conversion list to vector
+  list_condition<-unlist(list_condition)                                                                    # conversion list to vector
+#  print(list_condition)
+#  print(list_context)
+  context_asko<-data.frame(list_context,list_condition)                                                     # creation of the context data frame
+  context_asko<-unique(context_asko)
+  colnames(context_asko)[colnames(context_asko)=="list_context"]<-"context"                                 # header formatting for askomics
+  colnames(context_asko)[colnames(context_asko)=="list_condition"]<-"condition"                             # header formatting for askomics
+  #asko$contrast<-contrast_asko                                                                              # adding context data frame to asko object
+  #asko$context<-context_asko                                                                                # adding context data frame to asko object
+  asko<-list("condition"=condition_asko, "contrast"=contrast_asko, "context"=context_asko)
+  colnames(context_asko)[colnames(context_asko)=="context"]<-"Context"                                      # header formatting for askomics
+  colnames(context_asko)[colnames(context_asko)=="condition"]<-"has@Condition"                              # header formatting for askomics
+  colnames(contrast_asko)[colnames(contrast_asko)=="context1"]<-paste("context1_of", "Context", sep="@")    # header formatting for askomics
+  colnames(contrast_asko)[colnames(contrast_asko)=="context2"]<-paste("context2_of", "Context", sep="@")    # header formatting for askomics
+
+  ######## Files creation ########
+
+  write.table(data.frame("Condition"=row.names(condition_asko),condition_asko), paste0(parameters$out_dir,"/condition.asko.txt"), sep = parameters$sep, row.names = F, quote=F)            # creation of condition file for asko
+  write.table(context_asko,  paste0(parameters$out_dir,"/context.asko.txt"), sep=parameters$sep, col.names = T, row.names = F,quote=F)            # creation of context file for asko
+  write.table(contrast_asko,  paste0(parameters$out_dir,"/contrast.asko.txt"), sep=parameters$sep, col.names = T, row.names = F, quote=F)          # creation of contrast file for asko
+  return(asko)
+}
+
+.NormCountsMean <- function(glmfit, ASKOlist, context){
+
+  lib_size_norm<-glmfit$samples$lib.size*glmfit$samples$norm.factors                          # normalization computation of all library sizes
+  set_condi<-ASKOlist$context$condition[ASKOlist$context$context==context]                    # retrieval of condition names associated to context
+
+  for (condition in set_condi){
+    sample_name<-rownames(glmfit$samples[glmfit$samples$condition==condition,])               # retrieval of the replicate names associated to conditions
+    subset_counts<-data.frame(row.names = row.names(glmfit$counts))                            # initialization of data frame as subset of counts table
+    for(name in sample_name){
+      lib_sample_norm<-glmfit$samples[name,"lib.size"]*glmfit$samples[name,"norm.factors"]    # normalization computation of sample library size
+      subset_counts$c<-glmfit$counts[,name]                                                   # addition in subset of sample counts column
+      subset_counts$c<-subset_counts$c*mean(lib_size_norm)/lib_sample_norm                    # normalization computation of sample counts
+      colnames(subset_counts)[colnames(subset_counts)=="c"]<-name                             # to rename the column with the condition name
+    }
+    mean_counts<-rowSums(subset_counts)/ncol(subset_counts)                                   # computation of the mean
+    ASKOlist$stat.table$mean<-mean_counts                                                     # subset integration in the glm_result table
+    colnames(ASKOlist$stat.table)[colnames(ASKOlist$stat.table)=="mean"]<-paste(context,condition,sep = "/")
+  }                                                                                           # to rename the column with the context name
+  return(ASKOlist$stat.table)                                                                 # return the glm object
+}
+
+AskoStats <- function (glm_test, fit, contrast, ASKOlist, dge,parameters){
+  contrasko<-ASKOlist$contrast$Contrast[row.names(ASKOlist$contrast)==contrast]         # to retrieve the name of contrast from Asko object
+  contx1<-ASKOlist$contrast$context1[row.names(ASKOlist$contrast)==contrast]            # to retrieve the name of 1st context from Asko object
+  contx2<-ASKOlist$contrast$context2[row.names(ASKOlist$contrast)==contrast]            # to retrieve the name of 2nd context from Asko object
+
+  ASKO_stat<-glm_test$table
+  ASKO_stat$Test_id<-paste(contrasko, rownames(ASKO_stat), sep = "_")                   # addition of Test_id column = unique ID
+  ASKO_stat$contrast<-contrasko                                                         # addition of the contrast of the test
+  ASKO_stat$gene <- row.names(ASKO_stat)                                                # addition of gene column = gene ID
+  ASKO_stat$FDR<-p.adjust(ASKO_stat$PValue, method=parameters$p_adj_method)                                # computation of False Discovery Rate
+
+  ASKO_stat$Significance=0                                                              # Between context1 and context2 :
+  ASKO_stat$Significance[ASKO_stat$logFC< 0 & ASKO_stat$FDR<=parameters$threshold_FDR] = -1       # Significance values = -1 for down regulated genes
+  ASKO_stat$Significance[ASKO_stat$logFC> 0 & ASKO_stat$FDR<=parameters$threshold_FDR] = 1         # Significance values = 1 for up regulated genes
+
+  if(parameters$Expression==TRUE){
+    ASKO_stat$Expression=NA                                                             # addition of column "expression"
+    ASKO_stat$Expression[ASKO_stat$Significance==-1]<-paste(contx1, contx2, sep="<")    # the value of attribute "Expression" is a string
+    ASKO_stat$Expression[ASKO_stat$Significance==1]<-paste(contx1, contx2, sep=">")     # this attribute is easier to read the Significance
+    ASKO_stat$Expression[ASKO_stat$Significance==0]<-paste(contx1, contx2, sep="=")     # of expression between two contexts
+  }
+  if(parameters$logFC==T){cola="logFC"}else{cola=NULL}                                             #
+  if(parameters$FC==T){colb="FC";ASKO_stat$FC <- 2^abs(ASKO_stat$logFC)}else{colb=NULL}            # computation of Fold Change from log2FC
+  if(parameters$Sign==T){colc="Significance"}                                                      #
+  if(parameters$logCPM==T){cold="logCPM"}else{cold=NULL}                                           #
+  if(parameters$LR==T){cole="LR"}else{cole=NULL}                                                   #
+  if(parameters$FDR==T){colf="FDR"}else{colf=NULL}
+
+  ASKOlist$stat.table<-ASKO_stat[,c("Test_id","contrast","gene",cola,colb,"PValue",     # adding table "stat.table" to the ASKOlist
+                                    "Expression",colc,cold,cole,colf)]
+  if(parameters$mean_counts==T){                                                                   # computation of the mean of normalized counts for conditions
+    ASKOlist$stat.table<-.NormCountsMean(fit, ASKOlist, contx1)                       # in the 1st context
+    ASKOlist$stat.table<-.NormCountsMean(fit, ASKOlist, contx2)                       # in the 2nd context
+  }
+  print(table(ASKO_stat$Expression))
+  colnames(ASKOlist$stat.table)[colnames(ASKOlist$stat.table)=="gene"] <- paste("is", "gene", sep="@")                  # header formatting for askomics
+  colnames(ASKOlist$stat.table)[colnames(ASKOlist$stat.table)=="contrast"] <- paste("measured_in", "Contrast", sep="@") # header formatting for askomics
+  o <- order(ASKOlist$stat.table$FDR)                                                                                   # ordering genes by FDR value
+  ASKOlist$stat.table<-ASKOlist$stat.table[o,]
+  #
+  dir.create(parameters$out_dir)
+  write.table(ASKOlist$stat.table,paste0(parameters$out_dir,"/", parameters$organism, contrasko, ".txt"),                                    #
+              sep=parameters$sep, col.names = T, row.names = F, quote=FALSE)
+
+  if(parameters$heatmap==TRUE){
+    cpm_gstats<-cpm(dge, log=TRUE)[o,][1:parameters$numhigh,]
+    heatmap.2(cpm_gstats, cexRow=0.5, cexCol=0.8, scale="row", labCol=dge$samples$Name, xlab=contrast, Rowv = FALSE, dendrogram="col")
+  }
+
+  return(ASKOlist)
+
+}
+
+loadData <- function(parameters){
+
+  #####samples#####
+  samples<-read.table(parameters$sample_file, header=TRUE, sep="\t", row.names=1, comment.char = "#")       #prise en compte des r?sultats de T2
+  if(is.null(parameters$select_sample)==FALSE){
+    if(parameters$regex==TRUE){
+      selected<-c()
+      for(sel in parameters$select_sample){
+        select<-grep(sel, rownames(samples))
+        if(is.null(selected)){selected=select}else{selected<-append(selected, select)}
+      }
+      samples<-samples[selected,]
+    }else{samples<-samples[parameters$select_sample,]}
+  }
+
+  if(is.null(parameters$rm_sample)==FALSE){
+    if(parameters$regex==TRUE){
+      for(rm in parameters$rm_sample){
+        removed<-grep(rm, rownames(samples))
+#        print(removed)
+        if(length(removed!=0)){samples<-samples[-removed,]}
+      }
+    }else{
+      for (rm in parameters$rm_sample) {
+        rm2<-match(rm, rownames(samples))
+        samples<-samples[-rm2,]
+      }
+    }
+  }
+  condition<-unique(samples$condition)
+  #print(condition)
+  color<-brewer.pal(length(condition), parameters$palette)
+  #print(color)
+  samples$color<-NA
+  j=0
+  for(name in condition){
+    j=j+1
+    samples$color[samples$condition==name]<-color[j]
+  }
+  #print(samples)
+
+
+  #####counts#####
+  if(is.null(parameters$fileofcount)){
+    dge<-readDGE(samples$file, labels=rownames(samples), columns=c(parameters$col_genes,parameters$col_counts), header=TRUE, comment.char="#")
+    dge<-DGEList(counts=dge$counts, samples=samples)
+    #  dge$samples=samples
+    #countT<-dge$counts
+    # if(is.null(parameters$select_sample)==FALSE){
+    #   slct<-grep(parameters$select_sample, colnames(countT))
+    #   dge$counts<-dge$counts[,slct]
+    #   dge$samples<-dge$samples[,slct]
+    # }
+    # if(is.null(parameters$rm_sample)==FALSE){
+    #   rmc<-grep(parameters$rm_count, colnames(dge$counts))
+    #   dge$counts<-dge$counts[,-rmc]
+    #   print(ncol(dge$counts))
+    #   rms<-grep(parameters$rm_sample, row.names(dge$samples))
+    #   dge$samples<-dge$samples[-rms,]
+    # }
+  }else {
+    if(grepl(".csv", parameters$fileofcount)==TRUE){
+      count<-read.csv(parameters$fileofcount, header=TRUE, sep = "\t", row.names = parameters$col_genes)
+      }
+    else{
+      count<-read.table(parameters$fileofcount, header=TRUE, sep = "\t", row.names = parameters$col_genes, comment.char = "")
+    }
+    select_counts<-row.names(samples)
+    #countT<-count[,c(parameters$col_counts:length(colnames(count)))]
+    countT<-count[,select_counts]
+    dge<-DGEList(counts=countT, samples=samples)
+    # if(is.null(parameters$select_sample)==FALSE){
+    #   slct<-grep(parameters$select_sample, colnames(countT))
+    #   countT<-countT[,slct]
+    # }
+    # if(is.null(parameters$rm_count)==FALSE){
+    #   rms<-grep(parameters$rm_count, colnames(countT))
+    #   #print(rms)
+    #   countT<-countT[,-rms]
+    #
+    # }
+    #print(nrow(samples))
+    #print(ncol(countT))
+  }
+
+  #####design#####
+  Group<-factor(samples$condition)
+  designExp<-model.matrix(~0+Group)
+  rownames(designExp) <- row.names(samples)
+  colnames(designExp) <- levels(Group)
+
+  #####contrast#####
+  contrastab<-read.table(parameters$contrast_file, sep="\t", header=TRUE, row.names = 1,  comment.char="#", stringsAsFactors = FALSE)
+
+  rmcol<-list()
+  for(condition_name in row.names(contrastab)){
+    test<-match(condition_name, colnames(designExp),nomatch = 0)
+    if(test==0){
+      print(condition_name)
+      rm<-grep("0", contrastab[condition_name,], invert = T)
+      print(rm)
+      if(is.null(rmcol)){rmcol=rm}else{rmcol<-append(rmcol, rm)}
+    }
+  }
+  if (length(rmcol)> 0){
+    rmcol<-unlist(rmcol)
+    rmcol<-unique(rmcol)
+    rmcol=-rmcol
+    contrastab<-contrastab[,rmcol]
+  }
+
+  ord<-match(colnames(designExp),row.names(contrastab), nomatch = 0)
+  contrast_table<-contrastab[ord,]
+  colnum<-c()
+
+  for(contrast in colnames(contrast_table)){
+    set_cond1<-row.names(contrast_table)[contrast_table[,contrast]=="+"]
+    #print(set_cond1)
+    set_cond2<-row.names(contrast_table)[contrast_table[,contrast]=="-"]
+    #print(set_cond2)
+    if(length(set_cond1)!=length(set_cond2)){
+      contrast_table[,contrast][contrast_table[,contrast]=="+"]=signif(1/length(set_cond1),digits = 2)
+      contrast_table[,contrast][contrast_table[,contrast]=="-"]=signif(-1/length(set_cond2),digits = 2)
+    }
+    else {
+      contrast_table[,contrast][contrast_table[,contrast]=="+"]=1
+      contrast_table[,contrast][contrast_table[,contrast]=="-"]=-1
+    }
+    contrast_table[,contrast]<-as.numeric(contrast_table[,contrast])
+  }
+
+    #####annotation#####
+  #annotation <- read.csv(parameters$annotation_file, header = T, sep = '\t', quote = "", row.names = 1)
+
+  #data<-list("counts"=countT, "samples"=samples, "contrast"=contrast_table, "annot"=annotation, "design"=designExp)
+  #print(countT)
+  rownames(dge$samples)<-rownames(samples) # replace the renaming by files
+  data<-list("dge"=dge, "samples"=samples, "contrast"=contrast_table, "design"=designExp)
+  return(data)
+}
+
+GEfilt <- function(dge_list, parameters){
+  cpm<-cpm(dge_list)
+  logcpm<-cpm(dge_list, log=TRUE)
+  colnames(logcpm)<-rownames(dge_list$samples)
+  nsamples <- ncol(dge_list)                                                                    # cr?ation nouveau plot
+  plot(density(logcpm[,1]),
+       col=as.character(dge_list$samples$color[1]),      # plot exprimant la densit? de chaque g?ne
+       lwd=1,
+       ylim=c(0,0.21),
+       las=2,
+       main="A. Raw data",
+       xlab="Log-cpm")        # en fonction de leurs valeurs d'expression
+  abline(v=0, lty=3)
+  for (i in 2:nsamples){                                                        # on boucle sur chaque condition restante
+    den<-density(logcpm[,i])                                                    # et les courbes sont rajout?es dans le plot
+    lines(den$x, col=as.character(dge_list$samples$color[i]), den$y, lwd=1)   #
+  }
+  legend("topright", rownames(dge_list$samples),
+         text.col=as.character(dge_list$samples$color),
+         bty="n",
+         text.width=6,
+         cex=0.5)
+                                                          # rowSums compte le nombre de score (cases) pour chaque colonne Sup ? 0.5
+  keep.exprs <- rowSums(cpm>parameters$threshold_cpm)>=parameters$replicate_cpm      # en ajoutant >=3 cela donne un test conditionnel
+  filtered_counts <- dge_list[keep.exprs,,keep.lib.sizes=F] # si le comptage respecte la condition alors renvoie TRUE
+  filtered_cpm<-cpm(filtered_counts$counts, log=TRUE)
+
+  plot(density(filtered_cpm[,1]),
+       col=as.character(dge_list$samples$color[1]),
+       lwd=2,
+       ylim=c(0,0.21),
+       las=2,
+       main="B. Filtered data", xlab="Log-cpm")
+  abline(v=0, lty=3)
+  for (i in 2:nsamples){
+    den <- density(filtered_cpm[,i])
+    lines(den$x,col=as.character(dge_list$samples$color[i]), den$y, lwd=1)
+  }
+  legend("topright", rownames(dge_list$samples),
+         text.col=as.character(dge_list$samples$col),
+         bty="n",
+         text.width=6,
+         cex=0.5)
+  return(filtered_counts)
+}
+
+GEnorm <- function(filtered_GE, parameters){
+  filtered_cpm <- cpm(filtered_GE, log=TRUE)   #nouveau calcul Cpm sur donn?es filtr?es, si log=true alors valeurs cpm en log2
+  colnames(filtered_cpm)<-rownames(filtered_GE$samples)
+  boxplot(filtered_cpm,
+          col=filtered_GE$samples$color,         #boxplot des scores cpm non normalis?s
+          main="A. Before normalization",
+          cex.axis=0.5,
+          las=2,
+          ylab="Log-cpm")
+
+  norm_GE<-calcNormFactors(filtered_GE, method = parameters$normal_method)                      # normalisation de nos comptages par le methode TMM, estimation du taux de production d'un ARN                                                                      # en estimant l'?chelle des facteurs entre echantillons -> but : pouvoir comparer nos ech entre eux
+
+  logcpm_norm <- cpm(norm_GE, log=TRUE)
+  colnames(logcpm_norm)<-rownames(filtered_GE$samples)
+  boxplot(logcpm_norm,
+          col=filtered_GE$samples$color,
+          main="B. After normalization",
+          cex.axis=0.5,
+          las=2,
+          ylab="Log-cpm")
+
+  return(norm_GE)
+}
+
+GEcorr <- function(dge, parameters){
+  lcpm<-cpm(dge, log=TRUE)
+  colnames(lcpm)<-rownames(dge$samples)
+  cormat<-cor(lcpm)
+ # color<- colorRampPalette(c("yellow", "white", "green"))(20)
+  color<-colorRampPalette(c("black","red","yellow","white"),space="rgb")(28)
+  heatmap(cormat, col=color, symm=TRUE,RowSideColors =as.character(dge$samples$color), ColSideColors = as.character(dge$samples$color))
+  #MDS
+  mds <- cmdscale(dist(t(lcpm)),k=3, eig=TRUE)
+  eigs<-round((mds$eig)*100/sum(mds$eig[mds$eig>0]),2)
+
+  mds1<-ggplot(as.data.frame(mds$points), aes(V1, V2, label = rownames(mds$points))) + labs(title="MDS Axes 1 and 2") + geom_point(color =as.character(dge$samples$color) ) + xlab(paste('dim 1 [', eigs[1], '%]')) +ylab(paste('dim 2 [', eigs[2], "%]")) + geom_label_repel(aes(label = rownames(mds$points)), color = 'black',size = 3.5)
+  print(mds1)
+  #ggsave("mds_corr1-2.tiff")
+  #ggtitle("MDS Axes 2 and 3")
+  mds2<-ggplot(as.data.frame(mds$points), aes(V2, V3, label = rownames(mds$points))) + labs(title="MDS Axes 2 and 3") + geom_point(color =as.character(dge$samples$color) ) + xlab(paste('dim 2 [', eigs[2], '%]')) +ylab(paste('dim 3 [', eigs[3], "%]")) + geom_label_repel(aes(label = rownames(mds$points)), color = 'black',size = 3.5)
+  print(mds2)
+  # ggtitle("MDS Axes 1 and 3")
+  #ggsave("mds_corr2-3.tiff")
+  mds3<-ggplot(as.data.frame(mds$points), aes(V1, V3, label = rownames(mds$points))) + labs(title="MDS Axes 1 and 3") + geom_point(color =as.character(dge$samples$color) ) + xlab(paste('dim 1 [', eigs[1], '%]')) +ylab(paste('dim 3 [', eigs[3], "%]")) + geom_label_repel(aes(label = rownames(mds$points)), color = 'black',size = 3.5)
+  print(mds3)
+  #ggsave("mds_corr1-3.tiff")
+}
+
+DEanalysis <- function(norm_GE, data_list, asko_list, parameters){
+
+  normGEdisp <- estimateDisp(norm_GE, data_list$design)
+  if(parameters$glm=="lrt"){
+    fit <- glmFit(normGEdisp, data_list$design, robust = T)
+  }
+  if(parameters$glm=="qlf"){
+    fit <- glmQLFit(normGEdisp, data_list$design, robust = T)
+    plotQLDisp(fit)
+  }
+
+  #plotMD.DGEGLM(fit)
+  #plotBCV(norm_GE)
+
+  #sum<-norm_GE$genes
+  for (contrast in colnames(data_list$contrast)){
+    print(asko_list$contrast$Contrast[contrast])
+    if(parameters$glm=="lrt"){
+      glm_test<-glmLRT(fit, contrast=data_list$contrast[,contrast])
+    }
+    if(parameters$glm=="qlf"){
+      glm_test<-glmQLFTest(fit, contrast=data_list$contrast[,contrast])
+    }
+
+    #sum[,contrast]<-decideTestsDGE(glm, adjust.method = parameters$p_adj_method, lfc=1)
+    #print(table(sum[,contrast]))
+    AskoStats(glm_test, fit, contrast, asko_list,normGEdisp,parameters)
+  }
+}
+
+Asko_start <-function(){
+  library(limma)
+  library(statmod)
+  library(edgeR)
+  library(ggplot2)
+  library(RColorBrewer)
+  library(ggrepel)
+  library(gplots)
+  library(stringr)
+  library(optparse)
+  option_list = list(
+    make_option(c("-o", "--out"), type="character", default="out.pdf",dest="output_pdf",
+                help="output file name [default= %default]", metavar="character"),
+    make_option(c("-d", "--dir"), type="character", default=".",dest="dir_path",
+                help="data directory path [default= %default]", metavar="character"),
+    make_option("--outdir", type="character", default=".",dest="out_dir",
+                help="outputs directory [default= %default]", metavar="character"),
+    make_option(c("-O", "--org"), type="character", default="Asko", dest="organism",
+                help="Organism name [default= %default]", metavar="character"),
+    make_option(c("-f", "--fileofcount"), type="character", default=NULL, dest="fileofcount",
+                help="file of counts [default= %default]", metavar="character"),
+    make_option(c("-G", "--col_genes"), type="integer", default=1, dest="col_genes",
+                help="col of ids in count files [default= %default]", metavar="integer"),
+    make_option(c("-C", "--col_counts"), type="integer", default=7,dest="col_counts",
+                help="col of counts in count files [default= %default (featureCounts) ]", metavar="integer"),
+    make_option(c("-t", "--sep"), type="character", default="\t", dest="sep",
+                help="col separator [default= %default]", metavar="character"),
+    make_option(c("-a", "--annotation"), type="character", default="annotation.txt", dest="annotation_file",
+                help="annotation file [default= %default]", metavar="character"),
+    make_option(c("-s", "--sample"), type="character", default="Samples.txt", dest="sample_file",
+                help="Samples file [default= %default]", metavar="character"),
+    make_option(c("-c", "--contrasts"), type="character", default="Contrasts.txt",dest="contrast_file",
+                help="Contrasts file [default= %default]", metavar="character"),
+    make_option(c("-k", "--mk_context"), type="logical", default=FALSE,dest="mk_context",
+                help="generate automatically the context names [default= %default]", metavar="logical"),
+    make_option(c("-p", "--palette"), type="character", default="Set2", dest="palette",
+                help="Color palette (ggplot)[default= %default]", metavar="character"),
+    make_option(c("-R", "--regex"), type="logical", default=FALSE, dest="regex",
+                help="use regex when selecting/removing samples [default= %default]", metavar="logical"),
+    make_option(c("-S", "--select"), type="character", default=NULL, dest="select_sample",
+                help="selected samples [default= %default]", metavar="character"),
+    make_option(c("-r", "--remove"), type="character", default=NULL, dest="rm_sample",
+                help="removed samples [default= %default]", metavar="character"),
+    make_option(c("--th_cpm"), type="double", default=0.5, dest="threshold_cpm",
+                help="CPM's threshold [default= %default]", metavar="double"),
+    make_option(c("--rep"), type="integer", default=3, dest="replicate_cpm",
+                help="Minimum number of replicates [default= %default]", metavar="integer"),
+    make_option(c("--th_FDR"), type="double", default=0.05, dest="threshold_FDR",
+                help="FDR threshold [default= %default]", metavar="double"),
+    make_option(c("-n", "--normalization"), type="character", default="TMM", dest="normal_method",
+                help="normalization method (TMM/RLE/upperquartile/none) [default= %default]", metavar="character"),
+    make_option(c("--adj"), type="character", default="fdr", dest="p_adj_method",
+                help="p-value adjust method (holm/hochberg/hommel/bonferroni/BH/BY/fdr/none) [default= %default]", metavar="character"),
+    make_option("--glm", type="character", default="qlf", dest="glm",
+                help=" GLM method (lrt/qlf) [default= %default]", metavar="character"),
+    make_option(c("--lfc"), type="logical", default="TRUE", dest="logFC",
+                help="logFC in the summary table [default= %default]", metavar="logical"),
+    make_option("--fc", type="logical", default="TRUE", dest="FC",
+                help="FC in the summary table [default= %default]", metavar="logical"),
+    make_option(c("--lcpm"), type="logical", default="FALSE", dest="logCPM",
+                help="logCPm in the summary table [default= %default]", metavar="logical"),
+    make_option("--fdr", type="logical", default="TRUE", dest="FDR",
+                help="FDR in the summary table [default= %default]", metavar="logical"),
+    make_option("--lr", type="logical", default="FALSE", dest="LR",
+                help="LR in the summary table [default= %default]", metavar="logical"),
+    make_option(c("--sign"), type="logical", default="TRUE", dest="Sign",
+                help="Significance (1/0/-1) in the summary table [default= %default]", metavar="logical"),
+    make_option(c("--expr"), type="logical", default="TRUE", dest="Expression",
+                help="Significance expression in the summary table [default= %default]", metavar="logical"),
+    make_option(c("--mc"), type="logical", default="TRUE", dest="mean_counts",
+                help="Mean counts in the summary table [default= %default]", metavar="logical"),
+    make_option(c("--hm"), type="logical", default="TRUE", dest="heatmap",
+                help="generation of the expression heatmap [default= %default]", metavar="logical"),
+     make_option(c("--nh"), type="integer", default="50", dest="numhigh",
+                 help="number of genes in the heatmap [default= %default]", metavar="integer")
+  )
+  opt_parser = OptionParser(option_list=option_list)
+  parameters = parse_args(opt_parser)
+
+   if(is.null(parameters$rm_sample) == FALSE ) {
+    str_replace_all(parameters$rm_sample, " ", "")
+    parameters$rm_sample<-strsplit2(parameters$rm_sample, ",")
+   }
+
+  if(is.null(parameters$select_sample) == FALSE ) {
+    str_replace_all(parameters$select_sample, " ", "")
+    parameters$select_sample<-strsplit2(parameters$select_sample, ",")
+  }
+
+  dir.create(parameters$out_dir)
+  return(parameters)
+}
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/AskoR_DE.R	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,44 @@
+askor_path<-Sys.getenv("ASKOR_PATH")
+source(paste0(askor_path,"/AskoR.R"))
+
+##############################################
+##                Parameters                ##
+##############################################
+
+parameters<-Asko_start()
+setwd(parameters$dir_path)
+# source("/home/flegeai/local/askoR/askoStart.R")
+#parameters$col_genes=1
+#parameters$col_counts=7
+# parameters$regex=FALSE
+#parameters$rm_sample=list("T0_4", "T1K_4", "T1A_4", "T2A_4", "T2K_4", "T3K_4", "T3A_4")
+# #parameters$select_sample=c("T0_4", "T1K_4", "T1A_4", "T2A_4", "T2K_4", "T3K_4", "T3A_4")
+# #parameters$rm_sample=list("_4")
+# parameters$organism = "Ap"
+# parameters$fileofcount = NULL
+# parameters$annotation_file = "annotation.txt"
+# parameters$sample_file = "Samples.txt"
+# parameters$contrast_file = "Contrasts.txt"
+# parameters$mk_context="manual"
+# parameters$glm="qlf"
+
+
+########################################
+##  Loading the data from the samples ##+
+########################################
+
+data<-loadData(parameters)
+cat("Total number of genes : ", dim(data$dge$counts)[1], "\n")
+cat("Total number of samples : ", dim(data$dge$counts)[2], "\n")
+cat("summary of CPM by samples\n")
+summary(cpm(data$dge))
+pdf(parameters$output_pdf)
+asko_data<-asko3c(data)
+cat("Filtering genes with more than ", parameters$threshold_cpm, " CPM in ",parameters$replicate_cpm,"samples\n")
+asko_filt<-GEfilt(data$dge, parameters)
+cat("Total number of filtered genes : ", dim(asko_filt$counts)[1], "\n")
+asko_norm<-GEnorm(asko_filt,parameters)
+GEcorr(asko_norm,parameters)
+cat("Statistical analysis\n")
+DEanalysis(asko_norm,data, asko_data,parameters)
+dev.off()
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/askor_de.xml	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,165 @@
+<tool id="askor_de" name="AskoR DE" version="0.1">
+    <description>EdgeR for AskOmics</description>
+    <requirements>
+        <requirement type="package" version="3.34.6">bioconductor-limma</requirement>
+        <requirement type="package" version="1.4.30">r-statmod</requirement>
+        <requirement type="package" version="3.20.7">bioconductor-edger</requirement>
+        <requirement type="package" version="2.2.1">r-ggplot2</requirement>
+        <requirement type="package" version="1.1_2">r-rcolorbrewer</requirement>
+        <requirement type="package" version="0.7.0">r-ggrepel</requirement>
+        <requirement type="package" version="3.0.1">r-gplots</requirement>
+        <requirement type="package" version="1.4.4">r-optparse</requirement>
+    </requirements>
+    <command detect_errors="exit_code"><![CDATA[
+      export ASKOR_PATH='$__tool_directory__'
+
+      &&
+
+      Rscript '$__tool_directory__/AskoR_DE.R'
+          --out '${out_pdf}'
+          --outdir askor_output
+          --fileofcount '${fileofcounts}'
+          --sample '${samples}'
+          --contrasts '${contrasts}'
+          #if $adv.organism
+            --org '${adv.organism}'
+          #end if
+          #if $adv.colgenes
+            --col_genes ${adv.colgenes}
+          #end if
+          #if $adv.palette
+            --palette '${adv.palette}'
+          #end if
+          #if $selection.sel
+            --select '${selection.sel}'
+          #end if
+          #if $selection.remove
+            --remove '${selection.remove}'
+          #end if
+          #if $thresholds.th_cpm
+            --th_cpm ${thresholds.th_cpm}
+          #end if
+          #if $thresholds.rep
+            --rep ${thresholds.rep}
+          #end if
+          #if $thresholds.th_FDR
+            --th_FDR ${thresholds.th_FDR}
+          #end if
+          #if $stats.norm
+            --normalization '${stats.norm}'
+          #end if
+          #if $stats.adj
+            --adj '${stats.adj}'
+          #end if
+          #if $stats.glm
+            --glm '${stats.glm}'
+          #end if
+          #if $adv.nh
+            --nh ${adv.nh}
+          #end if
+    ]]></command>
+    <inputs>
+        <param format="csv" name="fileofcounts" type="data" label="File of counts" />
+        <param format="tsv" name="samples" type="data" label="Descriptions of the samples" />
+        <param format="tsv" name="contrasts" type="data" label="Descriptions of the contrasts" />
+        <section name="adv" title="Format options" expanded="false">
+            <param name="colgenes" type="integer" label="Column of the genes" value="1" optional="true" />
+            <!--param name="sep" type="text" label="Field separator" value="\t" optional="true" /-->
+            <param name="palette" type="text" label="Color palette (Rcolorbrewer)" value="Set2" optional="true" />
+            <param name="organism" type="text" label="Organism" value="Asko" optional="true" />
+            <param name="nh" type="integer" label="Number of genes in the heatmap" value="50" optional="true" />
+        </section>
+        <section name="selection" title="Samples selection options" expanded="false">
+            <param name="sel" type="text" label="List of selected samples (separated by comma)" optional="true" />
+            <param name="remove" type="text" label="List of removed samples (separated by comma)" optional="true" />
+        </section>
+        <section name="thresholds" title="Threshold options" expanded="false">
+            <param name="th_cpm" type="float" label="Minimum CPM value for selecting a gene" value="0.5" optional="true" />
+            <param name="rep" type="integer" label="Number of samples with CPM > th_comp for selecting a gene" value="3" optional="true" />
+            <param name="th_FDR" type="float" label="FDR threshold for reporting a differential gene" value="0.05" optional="true" />
+        </section>
+        <section name="stats" title="Statistics options" expanded="false">
+            <param name="norm" type="select" label="Normalization method">
+                <option value="TMM">TMM</option>
+                <option value="RLE">RLE</option>
+                <option value="upperquartile">Upperquartile</option>
+                <option value="none">None</option>
+            </param>
+            <param name="glm" type="select" label="GLM method">
+                <option value="qlf">qlf</option>
+                <option value="lrt">lrt</option>
+            </param>
+            <param name="adj" type="select" label="Multitest correction method">
+                <option value="fdr">fdr</option>
+                <option value="holm">holm</option>
+                <option value="hochberg">hochberg</option>
+                <option value="hommel">hommel</option>
+                <option value="bonferroni">bonferroni</option>
+                <option value="BH">BH</option>
+                <option value="BY">BY</option>
+                <option value="none">none</option>
+            </param>
+        </section>
+    </inputs>
+    <outputs>
+        <data format="pdf" name="out_pdf" label="${tool.name} on ${on_string}: Graphics" />
+        <data name="output" format="tsv" label="${tool.name} on ${on_string}">
+            <discover_datasets pattern="(?P&lt;designation&gt;.+)\.txt" ext="tsv" visible="true" directory="askor_output" />
+        </data>
+    </outputs>
+    <tests>
+        <test>
+            <param name="fileofcounts" ftype="csv" value="counts.csv" />
+            <param name="samples" ftype="tsv" value="Samples.txt" />
+            <param name="contrasts" ftype="tsv" value="Contrasts.txt" />
+            <section name="adv">
+                <param name="colgenes" value="3" />
+            </section>
+            <section name="thresholds">
+                <param name="th_cpm" value="10" />
+            </section>
+            <output name="out_pdf" file="out.pdf" compare="sim_size"/>
+            <output name="output">
+                <discovered_dataset designation="AskoAvsK" ftype="tsv" file="AskoAvsK.txt" compare="sim_size" />
+                <discovered_dataset designation="AskoT1AvsT1K" ftype="tsv" file="AskoT1AvsT1K.txt" compare="sim_size" />
+                <discovered_dataset designation="AskoT1vsT0" ftype="tsv" file="AskoT1vsT0.txt" compare="sim_size" />
+                <discovered_dataset designation="AskoT1vsT2" ftype="tsv" file="AskoT1vsT2.txt" compare="sim_size" />
+                <discovered_dataset designation="condition.asko" ftype="tsv" file="condition.asko.txt" compare="sim_size" />
+                <discovered_dataset designation="context.asko" ftype="tsv" file="context.asko.txt" compare="sim_size" />
+                <discovered_dataset designation="contrast.asko" ftype="tsv" file="contrast.asko.txt" compare="sim_size" />
+            </output>
+        </test>
+    </tests>
+    <help><![CDATA[
+This tools generates a list of differential genes from various contrasts in an AskOmics format (https://askomics.github.io/).
+
+Example tabular input file of counts:
+
+============ ========== =============== =========== =========== ======
+miRNA	     read_count	precursor	    total	    A32	        A34
+------------ ---------- --------------- ----------- ----------- ------
+GL349623_679 346.00     GL349623_679    146.00      16.00       130.0
+GL349624_956 13.00      GL349624_956    13.00       0           13.0
+============ ========== =============== =========== =========== ======
+
+Example tabular sample description file:
+
+============ ========== =============== ===========
+ID           condition  stage           treatment
+------------ ---------- --------------- -----------
+A32          T3A        T3              Acetone
+A34          T3A        T3              Acetone
+============ ========== =============== ===========
+
+Example tabular contrast description file:
+
+============ ========================= =======================
+Contrast     context1_of@Context       context2_of@Context
+------------ ------------------------- -----------------------
+T1vsT0       T1                        T0
+T1vsT2       T1                        T2
+============ ========================= =======================
+    ]]></help>
+    <citations>
+    </citations>
+</tool>
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/AskoAvsK.txt	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,176 @@
+Test_id	measured_in@Contrast	is@gene	logFC	FC	PValue	Expression	Significance	FDR	A/T0A	A/T1A	A/T2A	A/T3A	K/T1K	K/T2K	K/T3K
+AvsK_GL350151_32884	AvsK	GL350151_32884	-1.4658015841445	2.76216898522126	0.00264391592225013	A=K	0	0.115671321598443	21.9770142082978	4.60243759106838	7.06858703220598	6.83597436231163	24.7243951164809	18.050368601277	19.5984932428693
+AvsK_GL350151_32898	AvsK	GL350151_32898	-1.47172576071689	2.77353467197652	0.00240957402121667	A=K	0	0.115671321598443	22.8405187946568	4.60243759106838	7.06858703220598	7.18922297617649	25.6087427706126	18.2429383304036	20.3505714255447
+AvsK_GL350151_32906	AvsK	GL350151_32906	-1.47172576071689	2.77353467197652	0.00240957402121667	A=K	0	0.115671321598443	22.8405187946568	4.60243759106838	7.06858703220598	7.18922297617649	25.6087427706126	18.2429383304036	20.3505714255447
+AvsK_GL351656_44862	AvsK	GL351656_44862	-1.47172576071689	2.77353467197652	0.00240957402121667	A=K	0	0.115671321598443	22.8405187946568	4.60243759106838	7.06858703220598	7.18922297617649	25.6087427706126	18.2429383304036	20.3505714255447
+AvsK_GL349642_4945	AvsK	GL349642_4945	-0.869495926967361	1.82702443243324	0.0200438004479275	A=K	0	0.157995720064168	417.507843046818	116.896489669693	101.61231882496	75.4079099203981	328.413968129475	202.836868768343	186.903274026939
+AvsK_GL349642_4959	AvsK	GL349642_4959	-0.869495926967361	1.82702443243324	0.0200438004479275	A=K	0	0.157995720064168	417.507843046818	116.896489669693	101.61231882496	75.4079099203981	328.413968129475	202.836868768343	186.903274026939
+AvsK_GL349642_4961	AvsK	GL349642_4961	-0.855495896450042	1.80938058523392	0.0222654184608194	A=K	0	0.157995720064168	82.6553684877643	26.2552964125283	20.5220334361146	16.7156895246482	69.0764764157016	45.5079252688433	35.4402876558247
+AvsK_GL349642_4963	AvsK	GL349642_4963	-0.869495926967361	1.82702443243324	0.0200438004479275	A=K	0	0.157995720064168	417.507843046818	116.896489669693	101.61231882496	75.4079099203981	328.413968129475	202.836868768343	186.903274026939
+AvsK_GL349643_5190	AvsK	GL349643_5190	-1.16487635288432	2.24213998375816	0.0150785191695021	A=K	0	0.157995720064168	14.4449688927881	2.73632941954876	4.84406512480566	2.93603778210461	11.030329473906	7.56335986023563	10.5777541213807
+AvsK_GL349773_18697	AvsK	GL349773_18697	-0.91546742240643	1.8861800810935	0.00725049539559815	A=K	0	0.157995720064168	24.1677107608458	13.3933664191246	17.0744059570634	13.8406685924913	23.7616433874445	27.0937814638994	32.1556867228994
+AvsK_GL349919_26520	AvsK	GL349919_26520	-0.566471255216122	1.48089695284404	0.0184409026827921	A=K	0	0.157995720064168	124.499541153818	72.073883410293	70.3745660356144	56.6307559204322	116.176752645774	101.682183109349	94.7831139445446
+AvsK_GL349919_26570	AvsK	GL349919_26570	-0.978323108293458	1.97017407972835	0.0148075561063123	A=K	0	0.157995720064168	103.917583708274	25.4501089849405	33.7588466169947	25.8020894426586	87.6001270254807	60.8751850112748	61.0103250089133
+AvsK_GL349919_26592	AvsK	GL349919_26592	-1.19391878774136	2.28773316159769	0.017590782384399	A=K	0	0.157995720064168	29.3005113304337	6.67628355694396	7.31005430057552	8.81996932074199	25.3243219280574	21.114150881836	17.8078415758978
+AvsK_GL350151_32862	AvsK	GL350151_32862	-0.95030830628354	1.93228554630381	0.00918521700631609	A=K	0	0.157995720064168	86.6918238501263	29.3696377720969	38.7976244676746	37.8104530962714	86.6672382227376	68.4955728606815	74.3338430597042
+AvsK_GL350151_32866	AvsK	GL350151_32866	-0.972137634108357	1.96174515089933	0.00840324818023401	A=K	0	0.157995720064168	88.4737434506241	29.8894059094906	39.1623257237904	36.5707413609292	88.817436670779	69.6964707324995	75.846823875837
+AvsK_GL350151_32870	AvsK	GL350151_32870	-1.23554484577466	2.35470257954074	0.0166687645011988	A=K	0	0.157995720064168	16.8331341845551	6.52577459753034	5.93033577721228	5.24487769901275	20.259888596177	15.0244479823509	14.3399933936587
+AvsK_GL350151_32910	AvsK	GL350151_32910	-0.76110888328131	1.69479277470218	0.020185294413965	A=K	0	0.157995720064168	44.4056094917639	17.7366251545205	17.080222226584	16.931834363319	42.92724866839	26.2029181411405	30.2786942250802
+AvsK_GL350677_40695	AvsK	GL350677_40695	-1.07846439322121	2.11178709505199	0.0170477425943072	A=K	0	0.157995720064168	15.6623504934394	5.6136940181826	2.62846685096616	36.5569250229901	13.8990465055077	13.43609533459	28.7218830421912
+AvsK_GL350737_41242	AvsK	GL350737_41242	-0.76110888328131	1.69479277470218	0.020185294413965	A=K	0	0.157995720064168	44.4056094917639	17.7366251545205	17.080222226584	16.931834363319	42.92724866839	26.2029181411405	30.2786942250802
+AvsK_api-mir-275	AvsK	api-mir-275	-0.55552745696114	1.46970586732711	0.0203446732333438	A=K	0	0.157995720064168	52.2616666690044	53.5416861018258	62.3873151783632	79.6933860995436	80.9148205341786	77.4611637185932	91.7767434094739
+AvsK_api-mir-92a-1	AvsK	api-mir-92a-1	0.519477245413217	1.43343575438075	0.00892023878793979	A=K	0	0.157995720064168	108.083086611924	72.386227867033	35.5759781605864	48.1482263354263	54.1490720179198	38.8155292844677	26.3589562104737
+AvsK_api-mir-92a-2	AvsK	api-mir-92a-2	0.519477245413217	1.43343575438075	0.00892023878793979	A=K	0	0.157995720064168	108.083086611924	72.386227867033	35.5759781605864	48.1482263354263	54.1490720179198	38.8155292844677	26.3589562104737
+AvsK_api-mir-92b-1	AvsK	api-mir-92b-1	0.327143317609827	1.25452682327305	0.022570817152024	A=K	0	0.157995720064168	646.587652568849	387.715661705752	262.91725714257	262.908245111049	354.519703647672	251.764612041121	207.91780881254
+AvsK_api-mir-92b-2	AvsK	api-mir-92b-2	0.327143317609827	1.25452682327305	0.022570817152024	A=K	0	0.157995720064168	646.587652568849	387.715661705752	262.91725714257	262.908245111049	354.519703647672	251.764612041121	207.91780881254
+AvsK_api-mir-998	AvsK	api-mir-998	0.32311993473393	1.251033077201	0.0100851188227526	A=K	0	0.157995720064168	38278.9942265222	35311.3030595825	30986.3919268286	21786.1004139231	28527.9229897474	24896.0299871605	18462.0565100878
+AvsK_GL349645_5442	AvsK	GL349645_5442	-1.02553842305478	2.03571898585211	0.02534836867631	A=K	0	0.170614019936702	44.1680656848992	14.8582519250457	20.0117081622308	11.4702018770868	52.996163581116	28.1047432038348	30.7768002051677
+AvsK_GL349643_5180	AvsK	GL349643_5180	-1.03255341614949	2.04564161649168	0.0274729682106003	A=K	0	0.171706051316252	18.2794684848547	4.54212254256334	4.2586247302231	7.51702373646826	17.4668387068677	9.25604252110125	13.0330828136287
+AvsK_GL350151_32890	AvsK	GL350151_32890	-0.734700144576176	1.66405157044037	0.0265583449098252	A=K	0	0.171706051316252	42.7373848463161	17.5104113748143	16.8987752295306	15.6921226279769	42.2838873109649	24.3082253888476	28.6046500540431
+AvsK_GL350682_40710	AvsK	GL350682_40710	-1.53133743857502	2.89053679772646	0.0290640351434353	A=K	0	0.175386418969006	15.1093792744665	11.8785246839619	7.32689713115084	27.7305619312629	57.6693961245775	40.6813728356422	21.0452972577002
+AvsK_GL349630_2419	AvsK	GL349630_2419	-0.866970295796059	1.82382877913966	0.040101818268561	A=K	0	0.190420295090555	136.310568242081	40.7692899051509	42.5215455530646	35.269884994448	112.352482308845	77.1738957792082	79.50838830007
+AvsK_GL349630_2421	AvsK	GL349630_2421	-0.866970295796059	1.82382877913966	0.040101818268561	A=K	0	0.190420295090555	136.310568242081	40.7692899051509	42.5215455530646	35.269884994448	112.352482308845	77.1738957792082	79.50838830007
+AvsK_GL349630_2423	AvsK	GL349630_2423	-0.866970295796059	1.82382877913966	0.040101818268561	A=K	0	0.190420295090555	136.310568242081	40.7692899051509	42.5215455530646	35.269884994448	112.352482308845	77.1738957792082	79.50838830007
+AvsK_GL349630_2425	AvsK	GL349630_2425	-0.866970295796059	1.82382877913966	0.040101818268561	A=K	0	0.190420295090555	136.310568242081	40.7692899051509	42.5215455530646	35.269884994448	112.352482308845	77.1738957792082	79.50838830007
+AvsK_GL349643_5182	AvsK	GL349643_5182	-1.02363083221662	2.03302905307662	0.03331923483892	A=K	0	0.190420295090555	15.5109406348709	4.31590876285712	4.05931469749039	7.14957329490986	16.8703162971331	7.7464892270617	12.2810046309533
+AvsK_GL349645_5448	AvsK	GL349645_5448	-0.945917402225757	1.92641349305951	0.0413761576747052	A=K	0	0.190420295090555	55.9205425498732	20.234881500788	24.508282544732	18.9842698117411	66.9746615631992	37.1908093099749	40.21202386192
+AvsK_GL349645_5454	AvsK	GL349645_5454	-0.945917402225757	1.92641349305951	0.0413761576747052	A=K	0	0.190420295090555	55.9205425498732	20.234881500788	24.508282544732	18.9842698117411	66.9746615631992	37.1908093099749	40.21202386192
+AvsK_GL349928_26838	AvsK	GL349928_26838	0.405421956181056	1.32447623356273	0.0352415965685356	A=K	0	0.190420295090555	57.1825739794944	48.4496831345842	41.0100461864987	70.7967526721788	38.5345853531023	35.9090528426243	35.2403965134264
+AvsK_GL350151_32872	AvsK	GL350151_32872	-0.759048851891149	1.69237449865509	0.0515484360132561	A=K	0	0.190420295090555	42.6696579688218	17.422074847417	19.9841236092326	15.827009404187	40.2506014278924	27.4418345048662	31.2732312084474
+AvsK_GL350757_41318	AvsK	GL350757_41318	-0.313239137782639	1.24249421767493	0.0576701465131395	A=K	0	0.190420295090555	88.834921709588	154.093033384431	222.856316018568	393.268903324805	133.130797853428	210.398577789772	343.191284100736
+AvsK_GL350757_41320	AvsK	GL350757_41320	-0.313239137782639	1.24249421767493	0.0576701465131395	A=K	0	0.190420295090555	88.834921709588	154.093033384431	222.856316018568	393.268903324805	133.130797853428	210.398577789772	343.191284100736
+AvsK_GL350757_41322	AvsK	GL350757_41322	-0.313239137782639	1.24249421767493	0.0576701465131395	A=K	0	0.190420295090555	88.834921709588	154.093033384431	222.856316018568	393.268903324805	133.130797853428	210.398577789772	343.191284100736
+AvsK_GL350757_41324	AvsK	GL350757_41324	-0.313239137782639	1.24249421767493	0.0576701465131395	A=K	0	0.190420295090555	88.834921709588	154.093033384431	222.856316018568	393.268903324805	133.130797853428	210.398577789772	343.191284100736
+AvsK_GL350757_41326	AvsK	GL350757_41326	-0.313239137782639	1.24249421767493	0.0576701465131395	A=K	0	0.190420295090555	88.834921709588	154.093033384431	222.856316018568	393.268903324805	133.130797853428	210.398577789772	343.191284100736
+AvsK_GL350757_41328	AvsK	GL350757_41328	-0.313239137782639	1.24249421767493	0.0576701465131395	A=K	0	0.190420295090555	88.834921709588	154.093033384431	222.856316018568	393.268903324805	133.130797853428	210.398577789772	343.191284100736
+AvsK_GL351656_44870	AvsK	GL351656_44870	-0.984482458282678	1.97860339599751	0.0426766611460605	A=K	0	0.190420295090555	89.0228336648316	28.7778527542278	40.9262873559157	32.5183759583402	98.2409625950879	62.7420930233442	72.5999622861143
+AvsK_api-mir-3050	AvsK	api-mir-3050	0.338947540813649	1.26483354971976	0.0535398557237755	A=K	0	0.190420295090555	1008034.59361181	1142501.70015826	1028755.47253531	916926.595884299	795661.911903157	850011.670784776	751409.556993584
+AvsK_api-mir-3055-1	AvsK	api-mir-3055-1	-0.76956670779495	1.70475770777562	0.0493586086193674	A=K	0	0.190420295090555	48.45059536847	18.2112883523139	15.8225829508259	15.1430042282164	38.1421525702081	28.2579293430224	31.2811269968657
+AvsK_api-mir-3055-2	AvsK	api-mir-3055-2	-0.76956670779495	1.70475770777562	0.0493586086193674	A=K	0	0.190420295090555	48.45059536847	18.2112883523139	15.8225829508259	15.1430042282164	38.1421525702081	28.2579293430224	31.2811269968657
+AvsK_api-mir-3055-3	AvsK	api-mir-3055-3	-0.76956670779495	1.70475770777562	0.0493586086193674	A=K	0	0.190420295090555	48.45059536847	18.2112883523139	15.8225829508259	15.1430042282164	38.1421525702081	28.2579293430224	31.2811269968657
+AvsK_api-mir-3055-4	AvsK	api-mir-3055-4	-0.76956670779495	1.70475770777562	0.0493586086193674	A=K	0	0.190420295090555	48.45059536847	18.2112883523139	15.8225829508259	15.1430042282164	38.1421525702081	28.2579293430224	31.2811269968657
+AvsK_api-mir-3055-5	AvsK	api-mir-3055-5	-0.76956670779495	1.70475770777562	0.0493586086193674	A=K	0	0.190420295090555	48.45059536847	18.2112883523139	15.8225829508259	15.1430042282164	38.1421525702081	28.2579293430224	31.2811269968657
+AvsK_api-mir-315	AvsK	api-mir-315	0.259678124236478	1.19721156820585	0.0539494460959103	A=K	0	0.190420295090555	26012.4718189252	20928.2550507448	16207.8874348461	16487.5486767109	16149.5398678988	15815.8285621859	14596.6450162269
+AvsK_api-mir-929	AvsK	api-mir-929	-0.419107602695626	1.33710021864425	0.0399922347490484	A=K	0	0.190420295090555	13.4370060260247	45.7383427423633	73.3466164710049	101.485972258167	30.9159434838904	60.643677777599	91.6523519815252
+AvsK_GL349630_2427	AvsK	GL349630_2427	-1.13664680977617	2.19869396429322	0.0695709773014429	A=K	0	0.202915350462542	15.8192358582501	3.31343434155413	3.09959689136328	4.34903223756405	13.0513763298296	7.70734865102163	9.49506070034405
+AvsK_GL349755_17087	AvsK	GL349755_17087	-1.13664680977617	2.19869396429322	0.0695709773014429	A=K	0	0.202915350462542	15.8192358582501	3.31343434155413	3.09959689136328	4.34903223756405	13.0513763298296	7.70734865102163	9.49506070034405
+AvsK_GL349919_26542	AvsK	GL349919_26542	-0.948133781084793	1.92937527180705	0.0655376113108678	A=K	0	0.202915350462542	88.0847020607618	24.4503049468148	31.0941949886553	24.5706679313819	89.0011005229108	54.6219198835019	49.0006387530009
+AvsK_GL349919_26564	AvsK	GL349919_26564	-0.948133781084793	1.92937527180705	0.0655376113108678	A=K	0	0.202915350462542	88.0847020607618	24.4503049468148	31.0941949886553	24.5706679313819	89.0011005229108	54.6219198835019	49.0006387530009
+AvsK_GL349919_26580	AvsK	GL349919_26580	-0.930836439246272	1.90638094872246	0.0677565291197627	A=K	0	0.202915350462542	87.6254945536924	24.4503049468148	30.8788291822523	24.5706679313819	88.2849331910451	53.9592224886412	47.7450326529346
+AvsK_GL349919_26590	AvsK	GL349919_26590	-0.948133781084793	1.92937527180705	0.0655376113108678	A=K	0	0.202915350462542	88.0847020607618	24.4503049468148	31.0941949886553	24.5706679313819	89.0011005229108	54.6219198835019	49.0006387530009
+AvsK_GL357043_46322	AvsK	GL357043_46322	-1.13664680977617	2.19869396429322	0.0695709773014429	A=K	0	0.202915350462542	15.8192358582501	3.31343434155413	3.09959689136328	4.34903223756405	13.0513763298296	7.70734865102163	9.49506070034405
+AvsK_GL349642_4949	AvsK	GL349642_4949	-0.883497820271724	1.84484271244699	0.0888269359057653	A=K	0	0.218581203738317	20.0252950737267	6.08975436654529	6.23858283206665	3.20764118017084	16.9645086841215	8.91412436283476	9.42488676929855
+AvsK_GL349642_4967	AvsK	GL349642_4967	-0.780296934926516	1.71748432844994	0.0861736180916879	A=K	0	0.218581203738317	29.2038965429374	6.64462795004153	11.5235597930116	8.01701510097147	25.6873101470662	11.5718209197646	17.9536113752922
+AvsK_GL349645_5438	AvsK	GL349645_5438	-0.80667040217055	1.74916986915086	0.0790186764374745	A=K	0	0.218581203738317	38.564470100365	14.9720786249046	18.4934008532823	15.3559366296003	42.2540174631687	25.5330639918778	28.0680503325604
+AvsK_GL349645_5440	AvsK	GL349645_5440	-0.80667040217055	1.74916986915086	0.0790186764374745	A=K	0	0.218581203738317	38.564470100365	14.9720786249046	18.4934008532823	15.3559366296003	42.2540174631687	25.5330639918778	28.0680503325604
+AvsK_GL349645_5452	AvsK	GL349645_5452	-0.80667040217055	1.74916986915086	0.0790186764374745	A=K	0	0.218581203738317	38.564470100365	14.9720786249046	18.4934008532823	15.3559366296003	42.2540174631687	25.5330639918778	28.0680503325604
+AvsK_GL350151_32913	AvsK	GL350151_32913	-0.963286524708182	1.94974645037494	0.0924286232950597	A=K	0	0.218581203738317	19.9787457765136	4.66115555795739	5.18080920298251	4.03543330496582	16.0514731430306	10.510631192699	9.53762648250707
+AvsK_GL350151_32915	AvsK	GL350151_32915	-0.963286524708182	1.94974645037494	0.0924286232950597	A=K	0	0.218581203738317	19.9787457765136	4.66115555795739	5.18080920298251	4.03543330496582	16.0514731430306	10.510631192699	9.53762648250707
+AvsK_GL350737_41243	AvsK	GL350737_41243	-0.963286524708182	1.94974645037494	0.0924286232950597	A=K	0	0.218581203738317	19.9787457765136	4.66115555795739	5.18080920298251	4.03543330496582	16.0514731430306	10.510631192699	9.53762648250707
+AvsK_GL366836_47437	AvsK	GL366836_47437	-0.780296934926516	1.71748432844994	0.0861736180916879	A=K	0	0.218581203738317	29.2038965429374	6.64462795004153	11.5235597930116	8.01701510097147	25.6873101470662	11.5718209197646	17.9536113752922
+AvsK_GL366836_47443	AvsK	GL366836_47443	-0.883497820271724	1.84484271244699	0.0888269359057653	A=K	0	0.218581203738317	20.0252950737267	6.08975436654529	6.23858283206665	3.20764118017084	16.9645086841215	8.91412436283476	9.42488676929855
+AvsK_GL366836_47447	AvsK	GL366836_47447	-0.780296934926516	1.71748432844994	0.0861736180916879	A=K	0	0.218581203738317	29.2038965429374	6.64462795004153	11.5235597930116	8.01701510097147	25.6873101470662	11.5718209197646	17.9536113752922
+AvsK_GL369698_47842	AvsK	GL369698_47842	-0.963286524708182	1.94974645037494	0.0924286232950597	A=K	0	0.218581203738317	19.9787457765136	4.66115555795739	5.18080920298251	4.03543330496582	16.0514731430306	10.510631192699	9.53762648250707
+AvsK_GL369698_47844	AvsK	GL369698_47844	-0.963286524708182	1.94974645037494	0.0924286232950597	A=K	0	0.218581203738317	19.9787457765136	4.66115555795739	5.18080920298251	4.03543330496582	16.0514731430306	10.510631192699	9.53762648250707
+AvsK_api-mir-2a	AvsK	api-mir-2a	0.244246884357991	1.18447429027606	0.0814921018673601	A=K	0	0.218581203738317	1237.86970894262	1126.12814528614	804.844874667114	761.495872548766	834.523638972188	772.441552001314	653.246504965646
+AvsK_GL349642_4947	AvsK	GL349642_4947	-0.69452380607739	1.61835017208076	0.108923258870868	A=K	0	0.244379106441051	39.3124972024574	10.8735388983366	8.98727321466557	5.8584836850643	23.3733601863652	13.5611421639255	16.4540340378624
+AvsK_GL349642_4951	AvsK	GL349642_4951	-0.69452380607739	1.61835017208076	0.108923258870868	A=K	0	0.244379106441051	39.3124972024574	10.8735388983366	8.98727321466557	5.8584836850643	23.3733601863652	13.5611421639255	16.4540340378624
+AvsK_GL349642_4955	AvsK	GL349642_4955	-0.69452380607739	1.61835017208076	0.108923258870868	A=K	0	0.244379106441051	39.3124972024574	10.8735388983366	8.98727321466557	5.8584836850643	23.3733601863652	13.5611421639255	16.4540340378624
+AvsK_GL349642_4965	AvsK	GL349642_4965	-0.69452380607739	1.61835017208076	0.108923258870868	A=K	0	0.244379106441051	39.3124972024574	10.8735388983366	8.98727321466557	5.8584836850643	23.3733601863652	13.5611421639255	16.4540340378624
+AvsK_GL350222_34242	AvsK	GL350222_34242	-0.222435630109119	1.16670160890204	0.111814627572844	A=K	0	0.245396454502298	184.233673314165	207.385266113065	271.536440873514	415.758698351785	204.094293618538	267.557984759917	379.217664985525
+AvsK_api-mir-279a	AvsK	api-mir-279a	0.171450075914869	1.12618986749895	0.112181236343908	A=K	0	0.245396454502298	2099.23183214755	1807.69888237487	1441.70044089313	1466.25833097388	1417.07904547563	1432.98876412673	1313.81148103838
+AvsK_api-mir-14	AvsK	api-mir-14	-0.298512763801427	1.22987591304272	0.114960610620616	A=K	0	0.248371689612441	2917.70387383031	5174.26337501864	9057.45291271703	13256.972674329	4324.71028742041	8316.36967033474	12085.9720432948
+AvsK_api-mir-184a	AvsK	api-mir-184a	0.251497691087977	1.1904422961375	0.12225323013276	A=K	0	0.257762834617265	47761.3653273075	48955.440785817	45671.9115346193	39342.9489265658	35866.6670300699	39494.8236524716	34214.3320746442
+AvsK_api-mir-2b	AvsK	api-mir-2b	0.225420871910361	1.16911826121969	0.121848860509638	A=K	0	0.257762834617265	656.429261956676	532.896316982273	425.755249577495	340.457854167264	446.401152061298	389.33468630738	297.438390570694
+AvsK_GL350137_32551	AvsK	GL350137_32551	-0.817174699360205	1.76195209428952	0.151132891000239	A=K	0	0.314860189583832	358.835578453794	204.143997030395	103.57230467644	1055.67910447161	578.995678143302	306.013099511433	651.127036770846
+AvsK_api-mir-10	AvsK	api-mir-10	0.35354181779764	1.27769351901266	0.162793543052963	A=K	0	0.335163176873748	1290939.44087786	1609762.52422668	1918869.3641413	1257149.65869997	1080955.87403039	1356676.37011057	1070417.42103483
+AvsK_GL349642_4954	AvsK	GL349642_4954	-0.576379559412874	1.49110263019043	0.189062646984535	A=K	0	0.344645450232224	246.107640893668	65.6308127111902	59.8801426597752	37.1058834648804	161.027468412219	97.8750108681155	72.356671417997
+AvsK_GL349642_4958	AvsK	GL349642_4958	-0.576379559412874	1.49110263019043	0.189062646984535	A=K	0	0.344645450232224	246.107640893668	65.6308127111902	59.8801426597752	37.1058834648804	161.027468412219	97.8750108681155	72.356671417997
+AvsK_GL349642_4972	AvsK	GL349642_4972	-0.576379559412874	1.49110263019043	0.189062646984535	A=K	0	0.344645450232224	246.107640893668	65.6308127111902	59.8801426597752	37.1058834648804	161.027468412219	97.8750108681155	72.356671417997
+AvsK_GL349642_4974	AvsK	GL349642_4974	-0.600846115023604	1.51660576808712	0.171590830876087	A=K	0	0.344645450232224	205.408442483027	53.3370100028057	49.4883060495524	30.2557072748753	132.896009310663	84.7014662816012	59.1249161353572
+AvsK_GL349642_4976	AvsK	GL349642_4976	-0.576379559412874	1.49110263019043	0.189062646984535	A=K	0	0.344645450232224	246.107640893668	65.6308127111902	59.8801426597752	37.1058834648804	161.027468412219	97.8750108681155	72.356671417997
+AvsK_GL349642_4980	AvsK	GL349642_4980	-0.576379559412874	1.49110263019043	0.189062646984535	A=K	0	0.344645450232224	246.107640893668	65.6308127111902	59.8801426597752	37.1058834648804	161.027468412219	97.8750108681155	72.356671417997
+AvsK_GL349642_4982	AvsK	GL349642_4982	-0.600846115023604	1.51660576808712	0.171590830876087	A=K	0	0.344645450232224	205.408442483027	53.3370100028057	49.4883060495524	30.2557072748753	132.896009310663	84.7014662816012	59.1249161353572
+AvsK_GL350137_32552	AvsK	GL350137_32552	-0.758748139031432	1.69202177980226	0.183760949329893	A=K	0	0.344645450232224	186.851752515656	116.544493511701	51.6643780671411	603.928370599133	279.125976791414	148.931866740123	385.264784930101
+AvsK_api-mir-1000	AvsK	api-mir-1000	-0.254241538584213	1.19270854101299	0.182999776850393	A=K	0	0.344645450232224	28.0436223189252	53.3343119331074	69.9973296535426	89.7548030603445	54.472321032134	58.6612204191131	68.3455716205887
+AvsK_api-mir-281	AvsK	api-mir-281	-0.377936026307905	1.29948143803292	0.17574386455373	A=K	0	0.344645450232224	7.88595712039629	17.9980028180635	15.9702722689774	29.2202204933452	14.6499713109873	18.8509516140144	26.227349363353
+AvsK_api-mir-316	AvsK	api-mir-316	-0.329250474379765	1.2563604860021	0.187765073722082	A=K	0	0.344645450232224	18.1123394158094	29.2940452013454	47.3316760732136	125.056047511994	14.9534399843751	57.1450820793195	124.919562699992
+AvsK_GL349642_4978	AvsK	GL349642_4978	-0.572927949725895	1.4875394707097	0.19337199498525	A=K	0	0.345307133902233	227.32014241689	60.807187993068	56.6716087462903	34.9721899539977	150.137655781385	89.942765942774	68.1951554129839
+AvsK_GL350343_36481	AvsK	GL350343_36481	-0.305478995073783	1.2358288816149	0.193142896003188	A=K	0	0.345307133902233	18.2496028315714	21.1875817224896	25.0627364783323	27.2053482450709	18.2147172220669	30.1075528576254	26.9231640808389
+AvsK_api-mir-3024	AvsK	api-mir-3024	0.347887907301935	1.2726960471035	0.198033119935062	A=K	0	0.350058545339756	64.7212050546698	32.9381588675413	9.39844720626758	8.02540033905625	31.2093737502546	12.6426867572395	7.07502981122417
+AvsK_GL349642_4969	AvsK	GL349642_4969	-0.701302983957749	1.6259726426549	0.213291527043306	A=K	0	0.352132238043194	18.17295099915	6.55800972940896	6.25463860573694	4.21353551280525	16.178928282704	7.5423138852036	9.00493626165608
+AvsK_GL366836_47439	AvsK	GL366836_47439	-0.701302983957749	1.6259726426549	0.213291527043306	A=K	0	0.352132238043194	18.17295099915	6.55800972940896	6.25463860573694	4.21353551280525	16.178928282704	7.5423138852036	9.00493626165608
+AvsK_GL366836_47441	AvsK	GL366836_47441	-0.701302983957749	1.6259726426549	0.213291527043306	A=K	0	0.352132238043194	18.17295099915	6.55800972940896	6.25463860573694	4.21353551280525	16.178928282704	7.5423138852036	9.00493626165608
+AvsK_GL366836_47445	AvsK	GL366836_47445	-0.701302983957749	1.6259726426549	0.213291527043306	A=K	0	0.352132238043194	18.17295099915	6.55800972940896	6.25463860573694	4.21353551280525	16.178928282704	7.5423138852036	9.00493626165608
+AvsK_api-mir-184b	AvsK	api-mir-184b	0.211188382954381	1.15764136859004	0.204484535086433	A=K	0	0.352132238043194	42422.936024093	43427.1191642789	43217.5106675602	38253.4296067415	32911.4007978194	37731.0909485906	33291.3687056082
+AvsK_api-mir-981	AvsK	api-mir-981	-0.432791091872966	1.34984250826862	0.208577067337162	A=K	0	0.352132238043194	5.20564097843226	15.6864006352302	24.0573219619243	44.5497121674858	15.4284020425891	23.8163580683543	33.334564034211
+AvsK_api-mir-996	AvsK	api-mir-996	0.399049570932446	1.31863892208413	0.206805332408347	A=K	0	0.352132238043194	19.6205244782686	30.9540188931113	18.3716222128667	35.8201604539652	16.9072732178458	16.5090926445355	18.3619604108878
+AvsK_api-mir-1	AvsK	api-mir-1	-0.373109102097403	1.29514093864492	0.217610315215638	A=K	0	0.355904721147071	121.181311601949	180.619849632683	381.774966277306	969.852875150488	163.746504291107	371.099133673289	779.681636668599
+AvsK_GL349742_15837	AvsK	GL349742_15837	0.13655853363861	1.0992797169702	0.253729596992341	A=K	0	0.409680535082097	14878.3230778168	16838.4837907878	16136.5808468847	13996.6649005037	12660.4383260529	13939.7518458743	13375.2383303713
+AvsK_api-mir-3041	AvsK	api-mir-3041	0.231570376328204	1.17411227739198	0.25517244756542	A=K	0	0.409680535082097	73.6148441337726	83.1697934295355	107.017450811661	131.983013926229	68.7196716946604	73.5629952263426	79.1107833448953
+AvsK_api-mir-3040	AvsK	api-mir-3040	0.207497791875826	1.15468376438028	0.272530230762966	A=K	0	0.433570821668355	353.320213891397	461.832106680395	577.80634143084	222.063372380967	318.572656659124	478.13260602389	178.099887387928
+AvsK_GL350468_38246	AvsK	GL350468_38246	-0.207173812734596	1.15442449167002	0.281747011058611	A=K	0	0.441454333486251	359.851481093613	683.497118292956	796.136724378387	969.225183091721	521.57331291497	769.858616409501	874.858587733065
+AvsK_api-mir-306	AvsK	api-mir-306	0.116905764005808	1.08440657372805	0.282530773431201	A=K	0	0.441454333486251	1749.8598153719	1764.58022199887	1475.95237679632	1417.92154979521	1478.63566622894	1378.31249240608	1247.90705079229
+AvsK_GL350223_34252	AvsK	GL350223_34252	-0.574336860879955	1.48899288573688	0.288146757884747	A=K	0	0.446244979025051	24.5027562953933	21.0291469282923	5.41058465149451	65.84452495434	33.5756424868145	27.8738652634777	27.8361871133578
+AvsK_api-mir-971	AvsK	api-mir-971	-0.503575644896129	1.41772296453995	0.313092966954952	A=K	0	0.480625168571199	7.66479456863866	10.1407187013823	15.9855065951018	26.2012536879141	19.7487913349406	16.6065473899439	20.9140657335452
+AvsK_api-mir-210	AvsK	api-mir-210	-0.224061075312196	1.16801684060218	0.320793761255207	A=K	0	0.488164419301402	17.1867469323253	45.7488925668745	66.6050846850626	103.560190395523	20.0195697686999	60.1807998129075	100.886808834417
+AvsK_api-mir-278	AvsK	api-mir-278	-0.292313872640869	1.22460278792491	0.33131240206041	A=K	0	0.499824744487688	41.1737470124825	41.6572236507995	29.6178571627359	206.220935699302	44.3288514195503	39.8880494365225	159.925339221773
+AvsK_api-mir-3033	AvsK	api-mir-3033	0.114779199740262	1.08280931204303	0.334934442106041	A=K	0	0.500970319389377	394.957854143393	502.552807518651	427.20126064499	437.826293070804	332.193472624891	393.371130813313	390.472289903324
+AvsK_GL349714_13724	AvsK	GL349714_13724	0.270318095626155	1.20607372205753	0.348675571112813	A=K	0	0.508485207872852	95.0933122960213	141.498061593658	106.753742722073	185.568725525142	121.364759158602	93.184513796073	79.4730721242501
+AvsK_GL349714_13726	AvsK	GL349714_13726	0.270318095626155	1.20607372205753	0.348675571112813	A=K	0	0.508485207872852	95.0933122960213	141.498061593658	106.753742722073	185.568725525142	121.364759158602	93.184513796073	79.4730721242501
+AvsK_GL349714_13728	AvsK	GL349714_13728	0.270318095626155	1.20607372205753	0.348675571112813	A=K	0	0.508485207872852	95.0933122960213	141.498061593658	106.753742722073	185.568725525142	121.364759158602	93.184513796073	79.4730721242501
+AvsK_GL349650_6642	AvsK	GL349650_6642	-0.199706136217227	1.14846439947795	0.362451661445036	A=K	0	0.511524522200656	32.5102056770459	19.27700657408	23.5577779476556	24.9975281724528	23.4204958217444	25.688221758373	26.5564521650425
+AvsK_GL349650_6644	AvsK	GL349650_6644	-0.188581266414256	1.13964245029786	0.361308660113376	A=K	0	0.511524522200656	33.2611396253693	19.8834806136117	23.7570879803883	25.8679257803284	23.6355150917009	25.688221758373	27.6801572136646
+AvsK_api-let-7	AvsK	api-let-7	0.271612380387578	1.20715621226918	0.356736917170478	A=K	0	0.511524522200656	51.7676372940973	17.1052875628726	14.9263902951714	19.5237803396459	20.3697975474495	18.2778657962231	13.734569637666
+AvsK_api-mir-252a	AvsK	api-mir-252a	0.145814971015653	1.10635545134078	0.353976578995858	A=K	0	0.511524522200656	308.466786767609	489.114196700038	480.543592935641	518.123670187282	289.171809924299	396.625013068125	426.384481737201
+AvsK_api-mir-927	AvsK	api-mir-927	-0.176218091602887	1.12991801089093	0.378393077736056	A=K	0	0.529750308830478	427.238639370503	1222.6871883341	1720.16476297276	1804.75779360019	742.960038441659	1394.20082468705	1595.08274094536
+AvsK_api-mir-87b	AvsK	api-mir-87b	-0.160014736948433	1.11729855107813	0.386773329011127	A=K	0	0.537185179182121	101.984497224848	178.020931797068	227.212497056194	325.300062759627	136.169251352098	204.421850406862	271.314056139974
+AvsK_GL349872_24254	AvsK	GL349872_24254	-0.102605276972697	1.07371066295288	0.399826724519185	A=K	0	0.543948515827701	607.144425415593	732.301073986264	736.088526679089	811.685059487353	610.570405139264	730.251807009881	806.854373834026
+AvsK_api-mir-13a	AvsK	api-mir-13a	0.174653615447131	1.12869337809718	0.400967763095848	A=K	0	0.543948515827701	3036.87928275295	2096.25066535355	1719.53052217228	1844.40254679346	2190.65508578226	1773.7552599596	1377.00003461932
+AvsK_api-mir-71	AvsK	api-mir-71	0.16051253028105	1.11768413480754	0.399543296658842	A=K	0	0.543948515827701	104.833522367662	110.914522043777	80.0860394443051	125.390526012238	77.5719375098147	70.4597414922617	109.600883549361
+AvsK_api-mir-2765	AvsK	api-mir-2765	0.112636502550198	1.08120231241967	0.408313653677951	A=K	0	0.549652995335703	632.646871861759	504.166562590324	512.975079380156	397.872642849255	501.98589724328	507.009610435658	311.752558670212
+AvsK_api-mir-87a	AvsK	api-mir-87a	-0.127723133034995	1.09256804473185	0.414280711984363	A=K	0	0.55342843204018	183.898246585246	359.274465229513	364.170268143297	516.851261150385	241.568668415364	336.035634591802	466.042315390537
+AvsK_api-mir-8	AvsK	api-mir-8	-0.10201233232155	1.07326946078385	0.425615400913699	A=K	0	0.564262842120434	5301.5246677413	6852.54595327988	7719.78126352141	11054.9021049299	6234.11314807414	7208.95715011336	9613.89880962787
+AvsK_api-mir-263b	AvsK	api-mir-263b	0.277153919082733	1.21180193895981	0.460846748665548	A=K	0	0.606377300875721	1300.31895317557	1251.71642775122	1893.61155692519	1263.56130933943	994.460582209598	1337.23450831487	941.81504739292
+AvsK_GL349826_21746	AvsK	GL349826_21746	-0.147020243200542	1.10728012119555	0.473495333788695	A=K	0	0.618370771738967	16.4951684939482	36.9544600878111	51.7665621942847	82.8005535132122	24.0458636715105	39.7552622980635	65.5617745846914
+AvsK_api-mir-3031	AvsK	api-mir-3031	-0.157766270056588	1.11555857687433	0.477655932779107	A=K	0	0.619183616565509	197.60145077256	167.696215387838	173.378004991112	250.17481596556	188.245374819867	186.623430921134	226.185192350445
+AvsK_api-mir-100	AvsK	api-mir-100	0.260596354979938	1.19797379885881	0.485071532886362	A=K	0	0.624172928346422	74.0061751109488	36.6867961405426	21.1027075981608	28.055245268287	37.0363811562773	30.2097239192629	18.5840373238262
+AvsK_GL350343_36473	AvsK	GL350343_36473	-0.138637037764634	1.10086460085829	0.523836101000358	A=K	0	0.669133705657391	192.03628664115	162.229342389252	164.839570604831	240.375717813547	175.96217279623	180.069135472355	214.434156237149
+AvsK_api-bantam	AvsK	api-bantam	0.0736129017868095	1.05234875477952	0.540216462820689	A=K	0	0.683379789358212	13169.3308517045	16321.2717378554	17078.3447005196	21043.2913115408	12158.7515688539	14944.9044554132	18774.6570869758
+AvsK_api-mir-263a	AvsK	api-mir-263a	0.186426712885025	1.13794175263431	0.546703831486569	A=K	0	0.683379789358212	87248.5987485016	114738.540121811	163679.522376229	127221.007352086	94800.7276519968	115147.562359967	98013.8880180784
+AvsK_api-mir-2c	AvsK	api-mir-2c	0.0885690187666396	1.06331497771543	0.544984430369553	A=K	0	0.683379789358212	90.5431058071145	49.1092218181985	58.4232368367937	47.2771548685714	66.1195303451075	48.5029841502638	39.3961546589067
+AvsK_GL350370_36909	AvsK	GL350370_36909	0.0911789334559931	1.06524031399593	0.586047582653191	A=K	0	0.727364021023464	547.199142865752	656.82657433825	772.848538093928	787.105725283942	458.154802585589	683.318052615232	657.046222558543
+AvsK_GL349650_6636	AvsK	GL349650_6636	0.0802430481179375	1.05719612940176	0.628840531912338	A=K	0	0.748619680848022	571.761575450836	687.359529366427	806.208552002674	826.018496937716	484.997109051297	718.499068558673	692.399281998023
+AvsK_GL349650_6638	AvsK	GL349650_6638	0.0802430481179375	1.05719612940176	0.628840531912338	A=K	0	0.748619680848022	571.761575450836	687.359529366427	806.208552002674	826.018496937716	484.997109051297	718.499068558673	692.399281998023
+AvsK_GL349650_6640	AvsK	GL349650_6640	0.0802430481179375	1.05719612940176	0.628840531912338	A=K	0	0.748619680848022	571.761575450836	687.359529366427	806.208552002674	826.018496937716	484.997109051297	718.499068558673	692.399281998023
+AvsK_GL349650_6646	AvsK	GL349650_6646	0.0802430481179375	1.05719612940176	0.628840531912338	A=K	0	0.748619680848022	571.761575450836	687.359529366427	806.208552002674	826.018496937716	484.997109051297	718.499068558673	692.399281998023
+AvsK_GL355572_46131	AvsK	GL355572_46131	0.0803242676485381	1.05725564814132	0.628504627422985	A=K	0	0.748619680848022	571.761575450836	687.359529366427	806.389998999727	826.018496937716	484.997109051297	718.499068558673	692.399281998023
+AvsK_api-mir-317	AvsK	api-mir-317	-0.105717384395713	1.0760293162243	0.622215874512894	A=K	0	0.748619680848022	38.1499577028816	41.9865638867419	43.1237487603943	81.4021479991145	39.973195910454	44.9959227533424	61.5132597451309
+AvsK_api-mir-137	AvsK	api-mir-137	-0.123423899108211	1.08931703632151	0.64119056519725	A=K	0	0.758164519658911	23.3256938026282	31.1024416700597	32.0583379127441	39.3403084508284	30.2080451857782	33.5626380393697	29.7395236165053
+AvsK_api-mir-190	AvsK	api-mir-190	0.0806722835198438	1.05751071668825	0.655611014523643	A=K	0	0.76487951694425	231.485466971721	234.550188295047	231.694995089182	220.167833553487	221.766347279128	205.845854702742	171.864204370512
+AvsK_api-mir-279b	AvsK	api-mir-279b	0.0513716604797051	1.03624968306798	0.654652121960051	A=K	0	0.76487951694425	626.144650512871	615.057540608426	593.854328320924	671.272152658071	554.283861464607	552.982505836701	560.625523157426
+AvsK_api-mir-3047-1	AvsK	api-mir-3047-1	0.151069456771096	1.11039229080738	0.670395813232308	A=K	0	0.766792596834339	345.919356459137	203.230252972802	183.833264399272	170.686973097782	205.085416847614	179.143594709771	159.095755942028
+AvsK_api-mir-3047-2	AvsK	api-mir-3047-2	0.151069456771096	1.11039229080738	0.670395813232308	A=K	0	0.766792596834339	345.919356459137	203.230252972802	183.833264399272	170.686973097782	205.085416847614	179.143594709771	159.095755942028
+AvsK_api-mir-3049	AvsK	api-mir-3049	-0.0923073047951378	1.06607379354737	0.667230414901589	A=K	0	0.766792596834339	30.8771272639274	94.7105661640103	109.554845586267	96.9128255037697	53.1156765046011	72.0853763631651	100.188228378663
+AvsK_api-mir-276	AvsK	api-mir-276	-0.0528175051643496	1.03728871562034	0.690826797354128	A=K	0	0.779965738948209	32203.6878048661	44732.2556555246	49739.6581555238	63483.937709086	36053.6225796423	47461.596670029	56999.0730502219
+AvsK_api-mir-3018	AvsK	api-mir-3018	0.102779148361924	1.0738400727099	0.689427311952142	A=K	0	0.779965738948209	12.9763124689112	25.0073508370315	30.3840920325039	46.7376754442553	8.62911781908716	31.7226039874993	35.7693923336448
+AvsK_api-mir-3032	AvsK	api-mir-3032	-0.100105200009885	1.07185161813161	0.705438761882478	A=K	0	0.791357585445087	77.401034703635	31.6881532348652	23.4780389246877	15.7470662528429	36.4674445149938	32.8486087182833	22.7343341312668
+AvsK_api-mir-3027	AvsK	api-mir-3027	0.0697520221921975	1.04953626845249	0.713779269627093	A=K	0	0.795613835571601	492.94034451663	404.312998546403	373.591616924324	451.239789489599	362.527824297402	382.300123100955	381.724605218335
+AvsK_api-mir-993	AvsK	api-mir-993	0.0438223818466387	1.03084139840492	0.742855650107538	A=K	0	0.822783156764678	364.184068355389	517.095986431029	451.118742022456	402.660704268363	355.927103464731	417.649465514703	379.069596290388
+AvsK_api-mir-9b	AvsK	api-mir-9b	0.0385033971553266	1.02704784928473	0.783762109394139	A=K	0	0.862631252477826	376.361439667079	436.573003510837	398.350992944513	415.493971885812	335.799016629453	364.731785016796	391.941058078227
+AvsK_api-mir-34	AvsK	api-mir-34	-0.047003921762674	1.03311719606348	0.799312897918059	A=K	0	0.874248482097877	33.78320785053	33.6733146899426	36.5841102943991	75.4315901355026	26.767434430309	37.427678364582	62.5278754461016
+AvsK_api-mir-3016	AvsK	api-mir-3016	0.0708655877421499	1.05034668130115	0.826909647602724	A=K	0	0.898814834350787	31.184883216559	10.4497505123629	5.33918096274054	5.83303583149121	21.1433464017102	5.2451550522054	5.31862877995631
+AvsK_GL349801_20413	AvsK	GL349801_20413	0.0435856177678198	1.03067223847775	0.862187240266329	A=K	0	0.912423580011872	18.9258171290887	19.7476856197604	15.6293738213989	18.2029055558623	14.9856656593161	15.2885918081573	16.7328814031433
+AvsK_api-mir-252b	AvsK	api-mir-252b	-0.0432783324776981	1.03045273492187	0.872564637171943	A=K	0	0.912423580011872	70.3219832837863	80.5998452829956	87.3965220353206	133.122575098307	66.0945308776993	89.0590652091734	105.469416792266
+AvsK_api-mir-277	AvsK	api-mir-277	0.0214744928271797	1.014996317245	0.886881773510312	A=K	0	0.912423580011872	74.0187227137694	95.8454418109413	101.094878069469	138.38081811116	59.950707904155	93.4734733070941	124.973319561987
+AvsK_api-mir-29	AvsK	api-mir-29	0.0273401385118148	1.01913144489008	0.890832263031452	A=K	0	0.912423580011872	107.910313729097	105.245364266731	98.7017420713852	79.8792663335928	94.6171458451392	94.9590209808936	72.2709794245771
+AvsK_api-mir-3036-1	AvsK	api-mir-3036-1	-0.0233521058686877	1.01631815654608	0.890603796414289	A=K	0	0.912423580011872	468.48378934247	355.864419414785	375.340801378356	389.66489521967	378.098568231729	371.431717521057	358.320995881957
+AvsK_api-mir-3036-2	AvsK	api-mir-3036-2	-0.0233521058686877	1.01631815654608	0.890603796414289	A=K	0	0.912423580011872	468.48378934247	355.864419414785	375.340801378356	389.66489521967	378.098568231729	371.431717521057	358.320995881957
+AvsK_api-mir-3036-3	AvsK	api-mir-3036-3	-0.0231499688035336	1.01617576943556	0.891568183897315	A=K	0	0.912423580011872	468.48378934247	356.02291302258	375.157547119293	389.66489521967	377.932084361907	371.431717521057	358.320995881957
+AvsK_api-mir-3036-4	AvsK	api-mir-3036-4	-0.0231499688035336	1.01617576943556	0.891568183897315	A=K	0	0.912423580011872	468.48378934247	356.02291302258	375.157547119293	389.66489521967	377.932084361907	371.431717521057	358.320995881957
+AvsK_api-mir-3036-5	AvsK	api-mir-3036-5	-0.0231499688035336	1.01617576943556	0.891568183897315	A=K	0	0.912423580011872	468.48378934247	356.02291302258	375.157547119293	389.66489521967	377.932084361907	371.431717521057	358.320995881957
+AvsK_api-mir-9a	AvsK	api-mir-9a	-0.0283397691516339	1.01983783675679	0.848692896454689	A=K	0	0.912423580011872	841.300362032995	812.438450656032	879.112275743298	1109.15485486028	786.952021519981	819.629737700813	961.930573546304
+AvsK_api-mir-7	AvsK	api-mir-7	-0.028830626121343	1.02018488146532	0.901282950260523	A=K	0	0.917003001718556	192.866444597218	181.345502480794	207.034028814017	198.912796525837	189.343819213867	173.186336148056	186.872702427546
+AvsK_api-mir-3043-1	AvsK	api-mir-3043-1	-0.047426737362225	1.03342001964741	0.925825733899933	A=K	0	0.925825733899933	50.1296395288814	57.6997552376986	48.3999867820141	44.4558265605947	40.4424775820102	51.5082654013472	48.4219380775634
+AvsK_api-mir-3043-2	AvsK	api-mir-3043-2	-0.047426737362225	1.03342001964741	0.925825733899933	A=K	0	0.925825733899933	50.1296395288814	57.6997552376986	48.3999867820141	44.4558265605947	40.4424775820102	51.5082654013472	48.4219380775634
+AvsK_api-mir-3043-3	AvsK	api-mir-3043-3	-0.047426737362225	1.03342001964741	0.925825733899933	A=K	0	0.925825733899933	50.1296395288814	57.6997552376986	48.3999867820141	44.4558265605947	40.4424775820102	51.5082654013472	48.4219380775634
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/AskoT1AvsT1K.txt	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,176 @@
+Test_id	measured_in@Contrast	is@gene	logFC	FC	PValue	Expression	Significance	FDR	T1A/T1A	T1K/T1K
+T1AvsT1K_GL349642_4945	T1AvsT1K	GL349642_4945	-1.51050082924554	2.84908927626456	0.0325406523649849	T1A=T1K	0	0.226146729807717	116.896489669693	328.413968129475
+T1AvsT1K_GL349642_4959	T1AvsT1K	GL349642_4959	-1.51050082924554	2.84908927626456	0.0325406523649849	T1A=T1K	0	0.226146729807717	116.896489669693	328.413968129475
+T1AvsT1K_GL349642_4963	T1AvsT1K	GL349642_4963	-1.51050082924554	2.84908927626456	0.0325406523649849	T1A=T1K	0	0.226146729807717	116.896489669693	328.413968129475
+T1AvsT1K_GL349642_4967	T1AvsT1K	GL349642_4967	-1.97373986469	3.92785007847171	0.0258331015676455	T1A=T1K	0	0.226146729807717	6.64462795004153	25.6873101470662
+T1AvsT1K_GL349643_5180	T1AvsT1K	GL349643_5180	-2.03033393204775	4.08499392267698	0.0235010575102647	T1A=T1K	0	0.226146729807717	4.54212254256334	17.4668387068677
+T1AvsT1K_GL349643_5182	T1AvsT1K	GL349643_5182	-2.05332502278382	4.15061472722808	0.025644995276629	T1A=T1K	0	0.226146729807717	4.31590876285712	16.8703162971331
+T1AvsT1K_GL349643_5190	T1AvsT1K	GL349643_5190	-2.10030669556043	4.28800531956913	0.0200142821918946	T1A=T1K	0	0.226146729807717	2.73632941954876	11.030329473906
+T1AvsT1K_GL349645_5442	T1AvsT1K	GL349645_5442	-1.86137255910447	3.6335318668081	0.0328569344298816	T1A=T1K	0	0.226146729807717	14.8582519250457	52.996163581116
+T1AvsT1K_GL349919_26570	T1AvsT1K	GL349919_26570	-1.82005151771302	3.53093807044136	0.0177844713678188	T1A=T1K	0	0.226146729807717	25.4501089849405	87.6001270254807
+T1AvsT1K_GL349919_26592	T1AvsT1K	GL349919_26592	-2.04867364035024	4.1372543101038	0.0335989427142894	T1A=T1K	0	0.226146729807717	6.67628355694396	25.3243219280574
+T1AvsT1K_GL350151_32862	T1AvsT1K	GL350151_32862	-1.60518545010683	3.0423485576661	0.0196696225009638	T1A=T1K	0	0.226146729807717	29.3696377720969	86.6672382227376
+T1AvsT1K_GL350151_32866	T1AvsT1K	GL350151_32866	-1.61402230907525	3.06104087360107	0.02011994144567	T1A=T1K	0	0.226146729807717	29.8894059094906	88.817436670779
+T1AvsT1K_GL350151_32884	T1AvsT1K	GL350151_32884	-2.49624962959045	5.64216802207781	0.00756439706040851	T1A=T1K	0	0.226146729807717	4.60243759106838	24.7243951164809
+T1AvsT1K_GL350151_32890	T1AvsT1K	GL350151_32890	-1.35097712821537	2.55084834312908	0.0300022327131185	T1A=T1K	0	0.226146729807717	17.5104113748143	42.2838873109649
+T1AvsT1K_GL350151_32898	T1AvsT1K	GL350151_32898	-2.54430493829757	5.83327034653207	0.00640778257543885	T1A=T1K	0	0.226146729807717	4.60243759106838	25.6087427706126
+T1AvsT1K_GL350151_32906	T1AvsT1K	GL350151_32906	-2.54430493829757	5.83327034653207	0.00640778257543885	T1A=T1K	0	0.226146729807717	4.60243759106838	25.6087427706126
+T1AvsT1K_GL350151_32910	T1AvsT1K	GL350151_32910	-1.35369228094108	2.55565356116857	0.0275501325768629	T1A=T1K	0	0.226146729807717	17.7366251545205	42.92724866839
+T1AvsT1K_GL350737_41242	T1AvsT1K	GL350737_41242	-1.35369228094108	2.55565356116857	0.0275501325768629	T1A=T1K	0	0.226146729807717	17.7366251545205	42.92724866839
+T1AvsT1K_GL351656_44862	T1AvsT1K	GL351656_44862	-2.54430493829757	5.83327034653207	0.00640778257543885	T1A=T1K	0	0.226146729807717	4.60243759106838	25.6087427706126
+T1AvsT1K_GL366836_47437	T1AvsT1K	GL366836_47437	-1.97373986469	3.92785007847171	0.0258331015676455	T1A=T1K	0	0.226146729807717	6.64462795004153	25.6873101470662
+T1AvsT1K_GL366836_47447	T1AvsT1K	GL366836_47447	-1.97373986469	3.92785007847171	0.0258331015676455	T1A=T1K	0	0.226146729807717	6.64462795004153	25.6873101470662
+T1AvsT1K_api-mir-210	T1AvsT1K	api-mir-210	1.07892833969205	2.11246631948654	0.0166401855616645	T1A=T1K	0	0.226146729807717	45.7488925668745	20.0195697686999
+T1AvsT1K_api-mir-252a	T1AvsT1K	api-mir-252a	0.771658396805771	1.70723114052703	0.0131086796680285	T1A=T1K	0	0.226146729807717	489.114196700038	289.171809924299
+T1AvsT1K_api-mir-277	T1AvsT1K	api-mir-277	0.66530286763414	1.58590116943775	0.0271266048425514	T1A=T1K	0	0.226146729807717	95.8454418109413	59.950707904155
+T1AvsT1K_api-mir-3018	T1AvsT1K	api-mir-3018	1.46695527580135	2.76437871473862	0.00721009463641135	T1A=T1K	0	0.226146729807717	25.0073508370315	8.62911781908716
+T1AvsT1K_api-mir-3033	T1AvsT1K	api-mir-3033	0.590231469947568	1.50548827270089	0.0118480303953249	T1A=T1K	0	0.226146729807717	502.552807518651	332.193472624891
+T1AvsT1K_api-mir-3049	T1AvsT1K	api-mir-3049	0.885259979868827	1.84709744639616	0.0366479961472712	T1A=T1K	0	0.229049975920445	94.7105661640103	53.1156765046011
+T1AvsT1K_api-mir-993	T1AvsT1K	api-mir-993	0.548062229485617	1.4621205144276	0.0355545728873468	T1A=T1K	0	0.229049975920445	517.095986431029	355.927103464731
+T1AvsT1K_GL349630_2419	T1AvsT1K	GL349630_2419	-1.49476035124183	2.81817333938257	0.0615172803842476	T1A=T1K	0	0.231296705500048	40.7692899051509	112.352482308845
+T1AvsT1K_GL349630_2421	T1AvsT1K	GL349630_2421	-1.49476035124183	2.81817333938257	0.0615172803842476	T1A=T1K	0	0.231296705500048	40.7692899051509	112.352482308845
+T1AvsT1K_GL349630_2423	T1AvsT1K	GL349630_2423	-1.49476035124183	2.81817333938257	0.0615172803842476	T1A=T1K	0	0.231296705500048	40.7692899051509	112.352482308845
+T1AvsT1K_GL349630_2425	T1AvsT1K	GL349630_2425	-1.49476035124183	2.81817333938257	0.0615172803842476	T1A=T1K	0	0.231296705500048	40.7692899051509	112.352482308845
+T1AvsT1K_GL349630_2427	T1AvsT1K	GL349630_2427	-2.16541513820586	4.48595496837273	0.0735177899692301	T1A=T1K	0	0.231296705500048	3.31343434155413	13.0513763298296
+T1AvsT1K_GL349642_4947	T1AvsT1K	GL349642_4947	-1.23593995097064	2.35534754095378	0.122917677780026	T1A=T1K	0	0.231296705500048	10.8735388983366	23.3733601863652
+T1AvsT1K_GL349642_4949	T1AvsT1K	GL349642_4949	-1.63035664942331	3.09589523043133	0.0884603313800414	T1A=T1K	0	0.231296705500048	6.08975436654529	16.9645086841215
+T1AvsT1K_GL349642_4951	T1AvsT1K	GL349642_4951	-1.23593995097064	2.35534754095378	0.122917677780026	T1A=T1K	0	0.231296705500048	10.8735388983366	23.3733601863652
+T1AvsT1K_GL349642_4954	T1AvsT1K	GL349642_4954	-1.33431476298014	2.52155686905087	0.110903579806168	T1A=T1K	0	0.231296705500048	65.6308127111902	161.027468412219
+T1AvsT1K_GL349642_4955	T1AvsT1K	GL349642_4955	-1.23593995097064	2.35534754095378	0.122917677780026	T1A=T1K	0	0.231296705500048	10.8735388983366	23.3733601863652
+T1AvsT1K_GL349642_4958	T1AvsT1K	GL349642_4958	-1.33431476298014	2.52155686905087	0.110903579806168	T1A=T1K	0	0.231296705500048	65.6308127111902	161.027468412219
+T1AvsT1K_GL349642_4961	T1AvsT1K	GL349642_4961	-1.42321928473895	2.68183278164377	0.0413841103723519	T1A=T1K	0	0.231296705500048	26.2552964125283	69.0764764157016
+T1AvsT1K_GL349642_4965	T1AvsT1K	GL349642_4965	-1.23593995097064	2.35534754095378	0.122917677780026	T1A=T1K	0	0.231296705500048	10.8735388983366	23.3733601863652
+T1AvsT1K_GL349642_4972	T1AvsT1K	GL349642_4972	-1.33431476298014	2.52155686905087	0.110903579806168	T1A=T1K	0	0.231296705500048	65.6308127111902	161.027468412219
+T1AvsT1K_GL349642_4974	T1AvsT1K	GL349642_4974	-1.35764348199695	2.56266248632493	0.10494283327168	T1A=T1K	0	0.231296705500048	53.3370100028057	132.896009310663
+T1AvsT1K_GL349642_4976	T1AvsT1K	GL349642_4976	-1.33431476298014	2.52155686905087	0.110903579806168	T1A=T1K	0	0.231296705500048	65.6308127111902	161.027468412219
+T1AvsT1K_GL349642_4978	T1AvsT1K	GL349642_4978	-1.34474630664066	2.53985530028607	0.109696804426897	T1A=T1K	0	0.231296705500048	60.807187993068	150.137655781385
+T1AvsT1K_GL349642_4980	T1AvsT1K	GL349642_4980	-1.33431476298014	2.52155686905087	0.110903579806168	T1A=T1K	0	0.231296705500048	65.6308127111902	161.027468412219
+T1AvsT1K_GL349642_4982	T1AvsT1K	GL349642_4982	-1.35764348199695	2.56266248632493	0.10494283327168	T1A=T1K	0	0.231296705500048	53.3370100028057	132.896009310663
+T1AvsT1K_GL349645_5438	T1AvsT1K	GL349645_5438	-1.54550599726022	2.91906431406472	0.0767362953308844	T1A=T1K	0	0.231296705500048	14.9720786249046	42.2540174631687
+T1AvsT1K_GL349645_5440	T1AvsT1K	GL349645_5440	-1.54550599726022	2.91906431406472	0.0767362953308844	T1A=T1K	0	0.231296705500048	14.9720786249046	42.2540174631687
+T1AvsT1K_GL349645_5448	T1AvsT1K	GL349645_5448	-1.75574713222178	3.37701159350507	0.0472151079231076	T1A=T1K	0	0.231296705500048	20.234881500788	66.9746615631992
+T1AvsT1K_GL349645_5452	T1AvsT1K	GL349645_5452	-1.54550599726022	2.91906431406472	0.0767362953308844	T1A=T1K	0	0.231296705500048	14.9720786249046	42.2540174631687
+T1AvsT1K_GL349645_5454	T1AvsT1K	GL349645_5454	-1.75574713222178	3.37701159350507	0.0472151079231076	T1A=T1K	0	0.231296705500048	20.234881500788	66.9746615631992
+T1AvsT1K_GL349650_6636	T1AvsT1K	GL349650_6636	0.497833165795097	1.41209109979762	0.116069852418871	T1A=T1K	0	0.231296705500048	687.359529366427	484.997109051297
+T1AvsT1K_GL349650_6638	T1AvsT1K	GL349650_6638	0.497833165795097	1.41209109979762	0.116069852418871	T1A=T1K	0	0.231296705500048	687.359529366427	484.997109051297
+T1AvsT1K_GL349650_6640	T1AvsT1K	GL349650_6640	0.497833165795097	1.41209109979762	0.116069852418871	T1A=T1K	0	0.231296705500048	687.359529366427	484.997109051297
+T1AvsT1K_GL349650_6646	T1AvsT1K	GL349650_6646	0.497833165795097	1.41209109979762	0.116069852418871	T1A=T1K	0	0.231296705500048	687.359529366427	484.997109051297
+T1AvsT1K_GL349742_15837	T1AvsT1K	GL349742_15837	0.411244414495148	1.32983238294201	0.070181507649193	T1A=T1K	0	0.231296705500048	16838.4837907878	12660.4383260529
+T1AvsT1K_GL349755_17087	T1AvsT1K	GL349755_17087	-2.16541513820586	4.48595496837273	0.0735177899692301	T1A=T1K	0	0.231296705500048	3.31343434155413	13.0513763298296
+T1AvsT1K_GL349773_18697	T1AvsT1K	GL349773_18697	-0.968466218438465	1.95675918711029	0.113974718044555	T1A=T1K	0	0.231296705500048	13.3933664191246	23.7616433874445
+T1AvsT1K_GL349919_26520	T1AvsT1K	GL349919_26520	-0.704438668191757	1.62951052243089	0.107905899082826	T1A=T1K	0	0.231296705500048	72.073883410293	116.176752645774
+T1AvsT1K_GL349919_26542	T1AvsT1K	GL349919_26542	-1.89967113071637	3.73128130564866	0.0553127380658989	T1A=T1K	0	0.231296705500048	24.4503049468148	89.0011005229108
+T1AvsT1K_GL349919_26564	T1AvsT1K	GL349919_26564	-1.89967113071637	3.73128130564866	0.0553127380658989	T1A=T1K	0	0.231296705500048	24.4503049468148	89.0011005229108
+T1AvsT1K_GL349919_26580	T1AvsT1K	GL349919_26580	-1.88830973574709	3.70201242099229	0.0543571474967192	T1A=T1K	0	0.231296705500048	24.4503049468148	88.2849331910451
+T1AvsT1K_GL349919_26590	T1AvsT1K	GL349919_26590	-1.89967113071637	3.73128130564866	0.0553127380658989	T1A=T1K	0	0.231296705500048	24.4503049468148	89.0011005229108
+T1AvsT1K_GL350151_32870	T1AvsT1K	GL350151_32870	-1.71142129674047	3.27483290557102	0.070666140324755	T1A=T1K	0	0.231296705500048	6.52577459753034	20.259888596177
+T1AvsT1K_GL350151_32872	T1AvsT1K	GL350151_32872	-1.29385258523086	2.45181918009994	0.0777523367711501	T1A=T1K	0	0.231296705500048	17.422074847417	40.2506014278924
+T1AvsT1K_GL350151_32913	T1AvsT1K	GL350151_32913	-1.80016728732826	3.48260605445201	0.0927363069708863	T1A=T1K	0	0.231296705500048	4.66115555795739	16.0514731430306
+T1AvsT1K_GL350151_32915	T1AvsT1K	GL350151_32915	-1.80016728732826	3.48260605445201	0.0927363069708863	T1A=T1K	0	0.231296705500048	4.66115555795739	16.0514731430306
+T1AvsT1K_GL350370_36909	T1AvsT1K	GL350370_36909	0.513809574434009	1.42781550567439	0.10797209488329	T1A=T1K	0	0.231296705500048	656.82657433825	458.154802585589
+T1AvsT1K_GL350677_40695	T1AvsT1K	GL350677_40695	-1.43317141992196	2.70039681026893	0.0901034620644428	T1A=T1K	0	0.231296705500048	5.6136940181826	13.8990465055077
+T1AvsT1K_GL350682_40710	T1AvsT1K	GL350682_40710	-2.15046864545504	4.43971985387644	0.108767381438483	T1A=T1K	0	0.231296705500048	11.8785246839619	57.6693961245775
+T1AvsT1K_GL350737_41243	T1AvsT1K	GL350737_41243	-1.80016728732826	3.48260605445201	0.0927363069708863	T1A=T1K	0	0.231296705500048	4.66115555795739	16.0514731430306
+T1AvsT1K_GL351656_44870	T1AvsT1K	GL351656_44870	-1.81026708625766	3.50707208972786	0.0521068788795251	T1A=T1K	0	0.231296705500048	28.7778527542278	98.2409625950879
+T1AvsT1K_GL355572_46131	T1AvsT1K	GL355572_46131	0.49783313065797	1.41209106540586	0.116079251254069	T1A=T1K	0	0.231296705500048	687.359529366427	484.997109051297
+T1AvsT1K_GL357043_46322	T1AvsT1K	GL357043_46322	-2.16541513820586	4.48595496837273	0.0735177899692301	T1A=T1K	0	0.231296705500048	3.31343434155413	13.0513763298296
+T1AvsT1K_GL366836_47443	T1AvsT1K	GL366836_47443	-1.63035664942331	3.09589523043133	0.0884603313800414	T1A=T1K	0	0.231296705500048	6.08975436654529	16.9645086841215
+T1AvsT1K_GL369698_47842	T1AvsT1K	GL369698_47842	-1.80016728732826	3.48260605445201	0.0927363069708863	T1A=T1K	0	0.231296705500048	4.66115555795739	16.0514731430306
+T1AvsT1K_GL369698_47844	T1AvsT1K	GL369698_47844	-1.80016728732826	3.48260605445201	0.0927363069708863	T1A=T1K	0	0.231296705500048	4.66115555795739	16.0514731430306
+T1AvsT1K_api-bantam	T1AvsT1K	api-bantam	0.424998755736059	1.34257134486831	0.0655686813955212	T1A=T1K	0	0.231296705500048	16321.2717378554	12158.7515688539
+T1AvsT1K_api-mir-279a	T1AvsT1K	api-mir-279a	0.351334886816963	1.27574048966057	0.0815425644557342	T1A=T1K	0	0.231296705500048	1807.69888237487	1417.07904547563
+T1AvsT1K_api-mir-2a	T1AvsT1K	api-mir-2a	0.437311522850856	1.35407863529223	0.092462956933114	T1A=T1K	0	0.231296705500048	1126.12814528614	834.523638972188
+T1AvsT1K_api-mir-3016	T1AvsT1K	api-mir-3016	-1.02364303310583	2.03304624650033	0.0893446933132216	T1A=T1K	0	0.231296705500048	10.4497505123629	21.1433464017102
+T1AvsT1K_api-mir-3050	T1AvsT1K	api-mir-3050	0.521983087561393	1.43592767741867	0.105153476136855	T1A=T1K	0	0.231296705500048	1142501.70015826	795661.911903157
+T1AvsT1K_api-mir-3055-1	T1AvsT1K	api-mir-3055-1	-1.11623233737473	2.16780101691872	0.122735999369461	T1A=T1K	0	0.231296705500048	18.2112883523139	38.1421525702081
+T1AvsT1K_api-mir-3055-2	T1AvsT1K	api-mir-3055-2	-1.11623233737473	2.16780101691872	0.122735999369461	T1A=T1K	0	0.231296705500048	18.2112883523139	38.1421525702081
+T1AvsT1K_api-mir-3055-3	T1AvsT1K	api-mir-3055-3	-1.11623233737473	2.16780101691872	0.122735999369461	T1A=T1K	0	0.231296705500048	18.2112883523139	38.1421525702081
+T1AvsT1K_api-mir-3055-4	T1AvsT1K	api-mir-3055-4	-1.11623233737473	2.16780101691872	0.122735999369461	T1A=T1K	0	0.231296705500048	18.2112883523139	38.1421525702081
+T1AvsT1K_api-mir-3055-5	T1AvsT1K	api-mir-3055-5	-1.11623233737473	2.16780101691872	0.122735999369461	T1A=T1K	0	0.231296705500048	18.2112883523139	38.1421525702081
+T1AvsT1K_api-mir-316	T1AvsT1K	api-mir-316	0.951214903067856	1.93350018581491	0.0534469540017206	T1A=T1K	0	0.231296705500048	29.2940452013454	14.9534399843751
+T1AvsT1K_api-mir-87a	T1AvsT1K	api-mir-87a	0.595075684837031	1.51055182813797	0.0499574684537706	T1A=T1K	0	0.231296705500048	359.274465229513	241.568668415364
+T1AvsT1K_api-mir-927	T1AvsT1K	api-mir-927	0.720303478899567	1.64752856485343	0.0622009899327027	T1A=T1K	0	0.231296705500048	1222.6871883341	742.960038441659
+T1AvsT1K_api-mir-929	T1AvsT1K	api-mir-929	0.586766004331637	1.50187631270286	0.121743465161997	T1A=T1K	0	0.231296705500048	45.7383427423633	30.9159434838904
+T1AvsT1K_api-mir-996	T1AvsT1K	api-mir-996	0.927303324713245	1.90171799410889	0.116083317468116	T1A=T1K	0	0.231296705500048	30.9540188931113	16.9072732178458
+T1AvsT1K_api-mir-315	T1AvsT1K	api-mir-315	0.374266854283351	1.29618069688973	0.129025414693314	T1A=T1K	0	0.240206889056702	20928.2550507448	16149.5398678988
+T1AvsT1K_api-mir-184a	T1AvsT1K	api-mir-184a	0.449003737181593	1.36509725405156	0.136775487455678	T1A=T1K	0	0.250429142868427	48955.440785817	35866.6670300699
+T1AvsT1K_api-mir-3040	T1AvsT1K	api-mir-3040	0.526844003267613	1.4407739514075	0.137378272659252	T1A=T1K	0	0.250429142868427	461.832106680395	318.572656659124
+T1AvsT1K_GL349826_21746	T1AvsT1K	GL349826_21746	0.582768141488699	1.49772021336045	0.140133693798645	T1A=T1K	0	0.251872093496074	36.9544600878111	24.0458636715105
+T1AvsT1K_api-mir-2c	T1AvsT1K	api-mir-2c	-0.406676759257996	1.32562871539024	0.142487641463493	T1A=T1K	0	0.251872093496074	49.1092218181985	66.1195303451075
+T1AvsT1K_api-mir-9b	T1AvsT1K	api-mir-9b	0.392950256241558	1.31307585012194	0.142275696189531	T1A=T1K	0	0.251872093496074	436.573003510837	335.799016629453
+T1AvsT1K_GL349642_4969	T1AvsT1K	GL349642_4969	-1.49514213376617	2.81891921545201	0.152512110771756	T1A=T1K	0	0.257952551789253	6.55800972940896	16.178928282704
+T1AvsT1K_GL366836_47439	T1AvsT1K	GL366836_47439	-1.49514213376617	2.81891921545201	0.152512110771756	T1A=T1K	0	0.257952551789253	6.55800972940896	16.178928282704
+T1AvsT1K_GL366836_47441	T1AvsT1K	GL366836_47441	-1.49514213376617	2.81891921545201	0.152512110771756	T1A=T1K	0	0.257952551789253	6.55800972940896	16.178928282704
+T1AvsT1K_GL366836_47445	T1AvsT1K	GL366836_47445	-1.49514213376617	2.81891921545201	0.152512110771756	T1A=T1K	0	0.257952551789253	6.55800972940896	16.178928282704
+T1AvsT1K_api-mir-3043-1	T1AvsT1K	api-mir-3043-1	0.508740050687805	1.4228070723011	0.157719560236857	T1A=T1K	0	0.257952551789253	57.6997552376986	40.4424775820102
+T1AvsT1K_api-mir-3043-2	T1AvsT1K	api-mir-3043-2	0.508740050687805	1.4228070723011	0.157719560236857	T1A=T1K	0	0.257952551789253	57.6997552376986	40.4424775820102
+T1AvsT1K_api-mir-3043-3	T1AvsT1K	api-mir-3043-3	0.508740050687805	1.4228070723011	0.157719560236857	T1A=T1K	0	0.257952551789253	57.6997552376986	40.4424775820102
+T1AvsT1K_api-mir-71	T1AvsT1K	api-mir-71	0.512248297414581	1.4262711669984	0.155004135916791	T1A=T1K	0	0.257952551789253	110.914522043777	77.5719375098147
+T1AvsT1K_api-mir-998	T1AvsT1K	api-mir-998	0.307846346959952	1.2378584467283	0.165301748749579	T1A=T1K	0	0.267850055844225	35311.3030595825	28527.9229897474
+T1AvsT1K_GL350137_32551	T1AvsT1K	GL350137_32551	-1.48556094305621	2.80026030583413	0.173104045541299	T1A=T1K	0	0.27791933917181	204.143997030395	578.995678143302
+T1AvsT1K_api-mir-184b	T1AvsT1K	api-mir-184b	0.400186589358911	1.31967857889766	0.195983594794627	T1A=T1K	0	0.311792082627815	43427.1191642789	32911.4007978194
+T1AvsT1K_api-mir-306	T1AvsT1K	api-mir-306	0.257397955103677	1.19532087843988	0.205380357103338	T1A=T1K	0	0.323797860298055	1764.58022199887	1478.63566622894
+T1AvsT1K_api-mir-276	T1AvsT1K	api-mir-276	0.311354966929614	1.24087256981427	0.215100871481478	T1A=T1K	0	0.33609511168981	44732.2556555246	36053.6225796423
+T1AvsT1K_api-mir-10	T1AvsT1K	api-mir-10	0.57454860954382	1.48921144571279	0.219566827241792	T1A=T1K	0	0.336716196969914	1609762.52422668	1080955.87403039
+T1AvsT1K_api-mir-92a-1	T1AvsT1K	api-mir-92a-1	0.420513679344852	1.33840401592113	0.221270643723087	T1A=T1K	0	0.336716196969914	72.386227867033	54.1490720179198
+T1AvsT1K_api-mir-92a-2	T1AvsT1K	api-mir-92a-2	0.420513679344852	1.33840401592113	0.221270643723087	T1A=T1K	0	0.336716196969914	72.386227867033	54.1490720179198
+T1AvsT1K_api-mir-87b	T1AvsT1K	api-mir-87b	0.417330099248798	1.33545383001126	0.233533965033266	T1A=T1K	0	0.352314171386393	178.020931797068	136.169251352098
+T1AvsT1K_api-mir-34	T1AvsT1K	api-mir-34	0.413664958815808	1.3320654398123	0.239095482482801	T1A=T1K	0	0.357621448158036	33.6733146899426	26.767434430309
+T1AvsT1K_GL349872_24254	T1AvsT1K	GL349872_24254	0.26580802408479	1.20230924988958	0.245895974243057	T1A=T1K	0	0.364676232987585	732.301073986264	610.570405139264
+T1AvsT1K_api-mir-275	T1AvsT1K	api-mir-275	-0.502466168303267	1.41663311135617	0.248333218933857	T1A=T1K	0	0.365195910196848	53.5416861018258	80.9148205341786
+T1AvsT1K_GL349928_26838	T1AvsT1K	GL349928_26838	0.398368230595902	1.31801631665353	0.252691639408594	T1A=T1K	0	0.3685086408042	48.4496831345842	38.5345853531023
+T1AvsT1K_GL350137_32552	T1AvsT1K	GL350137_32552	-1.22471269108503	2.33708902565558	0.259667178176632	T1A=T1K	0	0.372473411318939	116.544493511701	279.125976791414
+T1AvsT1K_GL350468_38246	T1AvsT1K	GL350468_38246	0.407728640758765	1.32659559525244	0.2592622601322	T1A=T1K	0	0.372473411318939	683.497118292956	521.57331291497
+T1AvsT1K_api-mir-2b	T1AvsT1K	api-mir-2b	0.262550179111588	1.19959729912042	0.324723486955096	T1A=T1K	0	0.462004961114974	532.896316982273	446.401152061298
+T1AvsT1K_GL349801_20413	T1AvsT1K	GL349801_20413	0.451502682632779	1.36746383853809	0.355270554276646	T1A=T1K	0	0.501389895148492	19.7476856197604	14.9856656593161
+T1AvsT1K_api-mir-281	T1AvsT1K	api-mir-281	0.476202790276553	1.39107749270099	0.363742343549682	T1A=T1K	0	0.509239280969554	17.9980028180635	14.6499713109873
+T1AvsT1K_GL350757_41318	T1AvsT1K	GL350757_41318	0.246282640996919	1.18614685682722	0.41532759271975	T1A=T1K	0	0.55482693683936	154.093033384431	133.130797853428
+T1AvsT1K_GL350757_41320	T1AvsT1K	GL350757_41320	0.246282640996919	1.18614685682722	0.41532759271975	T1A=T1K	0	0.55482693683936	154.093033384431	133.130797853428
+T1AvsT1K_GL350757_41322	T1AvsT1K	GL350757_41322	0.246282640996919	1.18614685682722	0.41532759271975	T1A=T1K	0	0.55482693683936	154.093033384431	133.130797853428
+T1AvsT1K_GL350757_41324	T1AvsT1K	GL350757_41324	0.246282640996919	1.18614685682722	0.41532759271975	T1A=T1K	0	0.55482693683936	154.093033384431	133.130797853428
+T1AvsT1K_GL350757_41326	T1AvsT1K	GL350757_41326	0.246282640996919	1.18614685682722	0.41532759271975	T1A=T1K	0	0.55482693683936	154.093033384431	133.130797853428
+T1AvsT1K_GL350757_41328	T1AvsT1K	GL350757_41328	0.246282640996919	1.18614685682722	0.41532759271975	T1A=T1K	0	0.55482693683936	154.093033384431	133.130797853428
+T1AvsT1K_api-mir-14	T1AvsT1K	api-mir-14	0.2596082631212	1.19715359579451	0.455207762811824	T1A=T1K	0	0.603495140091434	5174.26337501864	4324.71028742041
+T1AvsT1K_api-mir-279b	T1AvsT1K	api-mir-279b	0.152154812957104	1.11122796609104	0.47830843605556	T1A=T1K	0	0.629353205336263	615.057540608426	554.283861464607
+T1AvsT1K_api-mir-252b	T1AvsT1K	api-mir-252b	0.356436208575587	1.28025945040909	0.482876581824342	T1A=T1K	0	0.630622401636268	80.5998452829956	66.0945308776993
+T1AvsT1K_GL349650_6642	T1AvsT1K	GL349650_6642	-0.272750292181644	1.20810872067623	0.503308619702765	T1A=T1K	0	0.652437099614695	19.27700657408	23.4204958217444
+T1AvsT1K_api-mir-3041	T1AvsT1K	api-mir-3041	0.24650120531014	1.18632656841183	0.511596497306279	T1A=T1K	0	0.658304316386756	83.1697934295355	68.7196716946604
+T1AvsT1K_GL349650_6644	T1AvsT1K	GL349650_6644	-0.245638478191897	1.18561736091067	0.522084683127115	T1A=T1K	0	0.666896493045585	19.8834806136117	23.6355150917009
+T1AvsT1K_api-mir-981	T1AvsT1K	api-mir-981	0.407076630077546	1.32599618993863	0.538448138572079	T1A=T1K	0	0.682814668479086	15.6864006352302	15.4284020425891
+T1AvsT1K_api-mir-8	T1AvsT1K	api-mir-8	0.1376371586873	1.10010189626725	0.563380782843039	T1A=T1K	0	0.709292352500229	6852.54595327988	6234.11314807414
+T1AvsT1K_api-mir-92b-1	T1AvsT1K	api-mir-92b-1	0.130695773754039	1.09482157752109	0.604474367738101	T1A=T1K	0	0.7502341443558	387.715661705752	354.519703647672
+T1AvsT1K_api-mir-92b-2	T1AvsT1K	api-mir-92b-2	0.130695773754039	1.09482157752109	0.604474367738101	T1A=T1K	0	0.7502341443558	387.715661705752	354.519703647672
+T1AvsT1K_GL349714_13724	T1AvsT1K	GL349714_13724	0.245777798982029	1.1857318612859	0.64316360023848	T1A=T1K	0	0.755393490212979	141.498061593658	121.364759158602
+T1AvsT1K_GL349714_13726	T1AvsT1K	GL349714_13726	0.245777798982029	1.1857318612859	0.64316360023848	T1A=T1K	0	0.755393490212979	141.498061593658	121.364759158602
+T1AvsT1K_GL349714_13728	T1AvsT1K	GL349714_13728	0.245777798982029	1.1857318612859	0.64316360023848	T1A=T1K	0	0.755393490212979	141.498061593658	121.364759158602
+T1AvsT1K_api-mir-263a	T1AvsT1K	api-mir-263a	0.275578066976019	1.21047901344396	0.631060987272467	T1A=T1K	0	0.755393490212979	114738.540121811	94800.7276519968
+T1AvsT1K_api-mir-263b	T1AvsT1K	api-mir-263b	0.34807841767474	1.27286411991236	0.617461696981064	T1A=T1K	0	0.755393490212979	1251.71642775122	994.460582209598
+T1AvsT1K_api-mir-3027	T1AvsT1K	api-mir-3027	0.176613068481295	1.13022739892785	0.619137194777729	T1A=T1K	0	0.755393490212979	404.312998546403	362.527824297402
+T1AvsT1K_api-mir-3032	T1AvsT1K	api-mir-3032	-0.233803916718824	1.17593141321262	0.631231406004784	T1A=T1K	0	0.755393490212979	31.6881532348652	36.4674445149938
+T1AvsT1K_api-mir-971	T1AvsT1K	api-mir-971	-0.450938205848111	1.36692890178478	0.640543437571988	T1A=T1K	0	0.755393490212979	10.1407187013823	19.7487913349406
+T1AvsT1K_api-mir-29	T1AvsT1K	api-mir-29	0.170042832942068	1.12509188764571	0.649297373393611	T1A=T1K	0	0.757513602292546	105.245364266731	94.6171458451392
+T1AvsT1K_GL350223_34252	T1AvsT1K	GL350223_34252	-0.390391727934582	1.31074925688528	0.706305457833014	T1A=T1K	0	0.808240019658039	21.0291469282923	33.5756424868145
+T1AvsT1K_api-mir-137	T1AvsT1K	api-mir-137	0.186715835542089	1.13816982419691	0.706632702901028	T1A=T1K	0	0.808240019658039	31.1024416700597	30.2080451857782
+T1AvsT1K_api-mir-317	T1AvsT1K	api-mir-317	0.154683152724126	1.11317711342353	0.70119192803689	T1A=T1K	0	0.808240019658039	41.9865638867419	39.973195910454
+T1AvsT1K_api-mir-1	T1AvsT1K	api-mir-1	0.206633192721761	1.15399197610351	0.715386664916463	T1A=T1K	0	0.812939391950526	180.619849632683	163.746504291107
+T1AvsT1K_GL350343_36481	T1AvsT1K	GL350343_36481	0.135258154903011	1.09828932337501	0.753231343222206	T1A=T1K	0	0.844971058101834	21.1875817224896	18.2147172220669
+T1AvsT1K_api-mir-190	T1AvsT1K	api-mir-190	0.107095457169907	1.07705763828919	0.750699383766064	T1A=T1K	0	0.844971058101834	234.550188295047	221.766347279128
+T1AvsT1K_api-mir-3031	T1AvsT1K	api-mir-3031	-0.127017586898592	1.09203385789487	0.759337885524585	T1A=T1K	0	0.846395732272626	167.696215387838	188.245374819867
+T1AvsT1K_api-let-7	T1AvsT1K	api-let-7	-0.154131118343296	1.11275124761865	0.777366978733461	T1A=T1K	0	0.861007729609846	17.1052875628726	20.3697975474495
+T1AvsT1K_api-mir-3036-1	T1AvsT1K	api-mir-3036-1	-0.0717554902779335	1.05099477011198	0.820621713010342	T1A=T1K	0	0.884509709914779	355.864419414785	378.098568231729
+T1AvsT1K_api-mir-3036-2	T1AvsT1K	api-mir-3036-2	-0.0717554902779335	1.05099477011198	0.820621713010342	T1A=T1K	0	0.884509709914779	355.864419414785	378.098568231729
+T1AvsT1K_api-mir-3036-3	T1AvsT1K	api-mir-3036-3	-0.0704524082070421	1.05004591114379	0.823857615520622	T1A=T1K	0	0.884509709914779	356.02291302258	377.932084361907
+T1AvsT1K_api-mir-3036-4	T1AvsT1K	api-mir-3036-4	-0.0704524082070421	1.05004591114379	0.823857615520622	T1A=T1K	0	0.884509709914779	356.02291302258	377.932084361907
+T1AvsT1K_api-mir-3036-5	T1AvsT1K	api-mir-3036-5	-0.0704524082070421	1.05004591114379	0.823857615520622	T1A=T1K	0	0.884509709914779	356.02291302258	377.932084361907
+T1AvsT1K_GL350343_36473	T1AvsT1K	GL350343_36473	-0.0803215727804929	1.05725367325285	0.843102219890161	T1A=T1K	0	0.894199324125928	162.229342389252	175.96217279623
+T1AvsT1K_api-mir-9a	T1AvsT1K	api-mir-9a	0.0552772681366053	1.03905877835059	0.841852631382137	T1A=T1K	0	0.894199324125928	812.438450656032	786.952021519981
+T1AvsT1K_GL350222_34242	T1AvsT1K	GL350222_34242	0.0435103136018807	1.0306184420166	0.865141422507651	T1A=T1K	0	0.912046680354452	207.385266113065	204.094293618538
+T1AvsT1K_api-mir-278	T1AvsT1K	api-mir-278	0.0916778374889447	1.06560875263065	0.871969642453005	T1A=T1K	0	0.913740643289077	41.6572236507995	44.3288514195503
+T1AvsT1K_api-mir-13a	T1AvsT1K	api-mir-13a	-0.0577710158969872	1.04085638017562	0.880278617656449	T1A=T1K	0	0.916956893392134	2096.25066535355	2190.65508578226
+T1AvsT1K_api-mir-100	T1AvsT1K	api-mir-100	0.0779682997371763	1.05553052426604	0.909634934101297	T1A=T1K	0	0.941929665489509	36.6867961405426	37.0363811562773
+T1AvsT1K_api-mir-1000	T1AvsT1K	api-mir-1000	0.0256716372214375	1.01795348338184	0.941634856429541	T1A=T1K	0	0.952967111416255	53.3343119331074	54.472321032134
+T1AvsT1K_api-mir-2765	T1AvsT1K	api-mir-2765	0.017272797414015	1.0120445491827	0.945284347259186	T1A=T1K	0	0.952967111416255	504.166562590324	501.98589724328
+T1AvsT1K_api-mir-3024	T1AvsT1K	api-mir-3024	0.0424576452626954	1.02986672133513	0.927125295801725	T1A=T1K	0	0.952967111416255	32.9381588675413	31.2093737502546
+T1AvsT1K_api-mir-3047-1	T1AvsT1K	api-mir-3047-1	0.0434904464155084	1.03060424958709	0.947521585065305	T1A=T1K	0	0.952967111416255	203.230252972802	205.085416847614
+T1AvsT1K_api-mir-3047-2	T1AvsT1K	api-mir-3047-2	0.0434904464155084	1.03060424958709	0.947521585065305	T1A=T1K	0	0.952967111416255	203.230252972802	205.085416847614
+T1AvsT1K_api-mir-7	T1AvsT1K	api-mir-7	-0.0166613391579242	1.01161570465349	0.969415185409705	T1A=T1K	0	0.969415185409705	181.345502480794	189.343819213867
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/AskoT1vsT0.txt	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,176 @@
+Test_id	measured_in@Contrast	is@gene	logFC	FC	PValue	Expression	Significance	FDR	T1/T1A	T1/T1K	T0/T0A
+T1vsT0_api-mir-929	T1vsT0	api-mir-929	1.52200528879093	2.87189954935435	0.000170167334348828	T1>T0	1	0.0297792835110449	45.7383427423633	30.9159434838904	13.4370060260247
+T1vsT0_api-mir-92b-1	T1vsT0	api-mir-92b-1	-0.80417146137229	1.74614269544508	0.00072380827948343	T1<T0	-1	0.0422221496365334	387.715661705752	354.519703647672	646.587652568849
+T1vsT0_api-mir-92b-2	T1vsT0	api-mir-92b-2	-0.80417146137229	1.74614269544508	0.00072380827948343	T1<T0	-1	0.0422221496365334	387.715661705752	354.519703647672	646.587652568849
+T1vsT0_api-let-7	T1vsT0	api-let-7	-1.53453421279761	2.89694885184873	0.00146821012161706	T1=T0	0	0.0642341928207463	17.1052875628726	20.3697975474495	51.7676372940973
+T1vsT0_api-mir-927	T1vsT0	api-mir-927	1.15503837103483	2.22690246409265	0.00200001763952061	T1=T0	0	0.0700006173832214	1222.6871883341	742.960038441659	427.238639370503
+T1vsT0_api-mir-3049	T1vsT0	api-mir-3049	1.17606609803573	2.2595979517563	0.00334451529015501	T1=T0	0	0.0975483626295212	94.7105661640103	53.1156765046011	30.8771272639274
+T1vsT0_api-mir-1000	T1vsT0	api-mir-1000	0.928576960535918	1.90339760451986	0.00667764422859585	T1=T0	0	0.129843082222697	53.3343119331074	54.472321032134	28.0436223189252
+T1vsT0_api-mir-2c	T1vsT0	api-mir-2c	-0.678556842418134	1.60053790308009	0.00563721477548487	T1=T0	0	0.129843082222697	49.1092218181985	66.1195303451075	90.5431058071145
+T1vsT0_api-mir-3032	T1vsT0	api-mir-3032	-1.17166162670415	2.25271003879347	0.00666595628195355	T1=T0	0	0.129843082222697	31.6881532348652	36.4674445149938	77.401034703635
+T1vsT0_api-mir-92a-1	T1vsT0	api-mir-92a-1	-0.788487446647344	1.72726261270839	0.00912051552886509	T1=T0	0	0.14509911068649	72.386227867033	54.1490720179198	108.083086611924
+T1vsT0_api-mir-92a-2	T1vsT0	api-mir-92a-2	-0.788487446647344	1.72726261270839	0.00912051552886509	T1=T0	0	0.14509911068649	72.386227867033	54.1490720179198	108.083086611924
+T1vsT0_GL350757_41318	T1vsT0	GL350757_41318	0.667804971676578	1.58865402613014	0.0177413336544925	T1=T0	0	0.163407020501905	154.093033384431	133.130797853428	88.834921709588
+T1vsT0_GL350757_41320	T1vsT0	GL350757_41320	0.667804971676578	1.58865402613014	0.0177413336544925	T1=T0	0	0.163407020501905	154.093033384431	133.130797853428	88.834921709588
+T1vsT0_GL350757_41322	T1vsT0	GL350757_41322	0.667804971676578	1.58865402613014	0.0177413336544925	T1=T0	0	0.163407020501905	154.093033384431	133.130797853428	88.834921709588
+T1vsT0_GL350757_41324	T1vsT0	GL350757_41324	0.667804971676578	1.58865402613014	0.0177413336544925	T1=T0	0	0.163407020501905	154.093033384431	133.130797853428	88.834921709588
+T1vsT0_GL350757_41326	T1vsT0	GL350757_41326	0.667804971676578	1.58865402613014	0.0177413336544925	T1=T0	0	0.163407020501905	154.093033384431	133.130797853428	88.834921709588
+T1vsT0_GL350757_41328	T1vsT0	GL350757_41328	0.667804971676578	1.58865402613014	0.0177413336544925	T1=T0	0	0.163407020501905	154.093033384431	133.130797853428	88.834921709588
+T1vsT0_api-mir-3024	T1vsT0	api-mir-3024	-1.02252339864184	2.03146906938746	0.0118617416669047	T1=T0	0	0.163407020501905	32.9381588675413	31.2093737502546	64.7212050546698
+T1vsT0_api-mir-87a	T1vsT0	api-mir-87a	0.670153407973832	1.59124216214274	0.0147127885334211	T1=T0	0	0.163407020501905	359.274465229513	241.568668415364	183.898246585246
+T1vsT0_GL349826_21746	T1vsT0	GL349826_21746	0.855235891010956	1.80905452436164	0.019806064601511	T1=T0	0	0.170889771265973	36.9544600878111	24.0458636715105	16.4951684939482
+T1vsT0_api-mir-315	T1vsT0	api-mir-315	-0.500904121575693	1.41510011267714	0.0205067725519167	T1=T0	0	0.170889771265973	20928.2550507448	16149.5398678988	26012.4718189252
+T1vsT0_api-mir-279a	T1vsT0	api-mir-279a	-0.391706524343188	1.31194434933307	0.025491145454786	T1=T0	0	0.202770475208525	1807.69888237487	1417.07904547563	2099.23183214755
+T1vsT0_GL350468_38246	T1vsT0	GL350468_38246	0.72138272754746	1.64876150609721	0.0302992285517818	T1=T0	0	0.211652296684416	683.497118292956	521.57331291497	359.851481093613
+T1vsT0_api-mir-14	T1vsT0	api-mir-14	0.696411077937533	1.62046861378525	0.0311508489501377	T1=T0	0	0.211652296684416	5174.26337501864	4324.71028742041	2917.70387383031
+T1vsT0_api-mir-210	T1vsT0	api-mir-210	0.859753930625394	1.81472875993735	0.0314454840788276	T1=T0	0	0.211652296684416	45.7488925668745	20.0195697686999	17.1867469323253
+T1vsT0_api-mir-3016	T1vsT0	api-mir-3016	-1.07331841453233	2.10426793621232	0.0308870370434365	T1=T0	0	0.211652296684416	10.4497505123629	21.1433464017102	31.184883216559
+T1vsT0_api-mir-981	T1vsT0	api-mir-981	1.30620330480285	2.47289897858623	0.0372064359296961	T1=T0	0	0.241152825470252	15.6864006352302	15.4284020425891	5.20564097843226
+T1vsT0_GL349642_4945	T1vsT0	GL349642_4945	-1.08371450747396	2.11948610370686	0.0586292425369335	T1=T0	0	0.267252937474969	116.896489669693	328.413968129475	417.507843046818
+T1vsT0_GL349642_4947	T1vsT0	GL349642_4947	-1.23480929330203	2.35350234955309	0.060725837195831	T1=T0	0	0.267252937474969	10.8735388983366	23.3733601863652	39.3124972024574
+T1vsT0_GL349642_4951	T1vsT0	GL349642_4951	-1.23480929330203	2.35350234955309	0.060725837195831	T1=T0	0	0.267252937474969	10.8735388983366	23.3733601863652	39.3124972024574
+T1vsT0_GL349642_4954	T1vsT0	GL349642_4954	-1.24947957311227	2.37755641359131	0.0702493435648491	T1=T0	0	0.267252937474969	65.6308127111902	161.027468412219	246.107640893668
+T1vsT0_GL349642_4955	T1vsT0	GL349642_4955	-1.23480929330203	2.35350234955309	0.060725837195831	T1=T0	0	0.267252937474969	10.8735388983366	23.3733601863652	39.3124972024574
+T1vsT0_GL349642_4958	T1vsT0	GL349642_4958	-1.24947957311227	2.37755641359131	0.0702493435648491	T1=T0	0	0.267252937474969	65.6308127111902	161.027468412219	246.107640893668
+T1vsT0_GL349642_4959	T1vsT0	GL349642_4959	-1.08371450747396	2.11948610370686	0.0586292425369335	T1=T0	0	0.267252937474969	116.896489669693	328.413968129475	417.507843046818
+T1vsT0_GL349642_4963	T1vsT0	GL349642_4963	-1.08371450747396	2.11948610370686	0.0586292425369335	T1=T0	0	0.267252937474969	116.896489669693	328.413968129475	417.507843046818
+T1vsT0_GL349642_4965	T1vsT0	GL349642_4965	-1.23480929330203	2.35350234955309	0.060725837195831	T1=T0	0	0.267252937474969	10.8735388983366	23.3733601863652	39.3124972024574
+T1vsT0_GL349642_4972	T1vsT0	GL349642_4972	-1.24947957311227	2.37755641359131	0.0702493435648491	T1=T0	0	0.267252937474969	65.6308127111902	161.027468412219	246.107640893668
+T1vsT0_GL349642_4974	T1vsT0	GL349642_4974	-1.27454520956281	2.41922542955825	0.064622872707964	T1=T0	0	0.267252937474969	53.3370100028057	132.896009310663	205.408442483027
+T1vsT0_GL349642_4976	T1vsT0	GL349642_4976	-1.24947957311227	2.37755641359131	0.0702493435648491	T1=T0	0	0.267252937474969	65.6308127111902	161.027468412219	246.107640893668
+T1vsT0_GL349642_4980	T1vsT0	GL349642_4980	-1.24947957311227	2.37755641359131	0.0702493435648491	T1=T0	0	0.267252937474969	65.6308127111902	161.027468412219	246.107640893668
+T1vsT0_GL349642_4982	T1vsT0	GL349642_4982	-1.27454520956281	2.41922542955825	0.064622872707964	T1=T0	0	0.267252937474969	53.3370100028057	132.896009310663	205.408442483027
+T1vsT0_GL349919_26570	T1vsT0	GL349919_26570	-1.10889410843784	2.15680255164122	0.0677272965241512	T1=T0	0	0.267252937474969	25.4501089849405	87.6001270254807	103.917583708274
+T1vsT0_api-mir-100	T1vsT0	api-mir-100	-1.09455626388669	2.13547389789583	0.0588267432618942	T1=T0	0	0.267252937474969	36.6867961405426	37.0363811562773	74.0061751109488
+T1vsT0_api-mir-281	T1vsT0	api-mir-281	0.966160381173591	1.95363422699066	0.04793226839	T1=T0	0	0.267252937474969	17.9980028180635	14.6499713109873	7.88595712039629
+T1vsT0_api-mir-2b	T1vsT0	api-mir-2b	-0.432763984410554	1.34981714569354	0.0624765700711146	T1=T0	0	0.267252937474969	532.896316982273	446.401152061298	656.429261956676
+T1vsT0_api-mir-87b	T1vsT0	api-mir-87b	0.593576675301846	1.5089831281855	0.0601227690245473	T1=T0	0	0.267252937474969	178.020931797068	136.169251352098	101.984497224848
+T1vsT0_GL349642_4978	T1vsT0	GL349642_4978	-1.24040003115483	2.36264034606105	0.0732083425986511	T1=T0	0	0.272584254356679	60.807187993068	150.137655781385	227.32014241689
+T1vsT0_GL349650_6644	T1vsT0	GL349650_6644	-0.588899218176218	1.50409867644338	0.075013539333242	T1=T0	0	0.273486862152445	19.8834806136117	23.6355150917009	33.2611396253693
+T1vsT0_GL349643_5190	T1vsT0	GL349643_5190	-1.20413572075841	2.30399202131151	0.0844955510048945	T1=T0	0	0.301769825017481	2.73632941954876	11.030329473906	14.4449688927881
+T1vsT0_GL349650_6642	T1vsT0	GL349650_6642	-0.583284092061659	1.49825593835838	0.0954898279318951	T1=T0	0	0.334214397761633	19.27700657408	23.4204958217444	32.5102056770459
+T1vsT0_GL349642_4961	T1vsT0	GL349642_4961	-0.932348335899479	1.90837982005278	0.0985760456486664	T1=T0	0	0.338251137029737	26.2552964125283	69.0764764157016	82.6553684877643
+T1vsT0_GL349630_2419	T1vsT0	GL349630_2419	-0.995311678141642	1.99351115494552	0.124020062522814	T1=T0	0	0.345362058852897	40.7692899051509	112.352482308845	136.310568242081
+T1vsT0_GL349630_2421	T1vsT0	GL349630_2421	-0.995311678141642	1.99351115494552	0.124020062522814	T1=T0	0	0.345362058852897	40.7692899051509	112.352482308845	136.310568242081
+T1vsT0_GL349630_2423	T1vsT0	GL349630_2423	-0.995311678141642	1.99351115494552	0.124020062522814	T1=T0	0	0.345362058852897	40.7692899051509	112.352482308845	136.310568242081
+T1vsT0_GL349630_2425	T1vsT0	GL349630_2425	-0.995311678141642	1.99351115494552	0.124020062522814	T1=T0	0	0.345362058852897	40.7692899051509	112.352482308845	136.310568242081
+T1vsT0_GL349630_2427	T1vsT0	GL349630_2427	-1.23504038666537	2.35387936778647	0.184268478108408	T1=T0	0	0.345362058852897	3.31343434155413	13.0513763298296	15.8192358582501
+T1vsT0_GL349642_4967	T1vsT0	GL349642_4967	-1.05791427159614	2.08191947903748	0.127646727375515	T1=T0	0	0.345362058852897	6.64462795004153	25.6873101470662	29.2038965429374
+T1vsT0_GL349643_5180	T1vsT0	GL349643_5180	-0.950737274779211	1.9328601742349	0.168816034178702	T1=T0	0	0.345362058852897	4.54212254256334	17.4668387068677	18.2794684848547
+T1vsT0_GL349755_17087	T1vsT0	GL349755_17087	-1.23504038666537	2.35387936778647	0.184268478108408	T1=T0	0	0.345362058852897	3.31343434155413	13.0513763298296	15.8192358582501
+T1vsT0_GL349919_26592	T1vsT0	GL349919_26592	-1.13067378254636	2.18960977825152	0.129925013441894	T1=T0	0	0.345362058852897	6.67628355694396	25.3243219280574	29.3005113304337
+T1vsT0_GL349928_26838	T1vsT0	GL349928_26838	-0.441759286510588	1.35825964018845	0.132860852506996	T1=T0	0	0.345362058852897	48.4496831345842	38.5345853531023	57.1825739794944
+T1vsT0_GL350151_32862	T1vsT0	GL350151_32862	-0.76008383947011	1.69358904156171	0.163201734020669	T1=T0	0	0.345362058852897	29.3696377720969	86.6672382227376	86.6918238501263
+T1vsT0_GL350151_32866	T1vsT0	GL350151_32866	-0.759368324462225	1.69274930211978	0.167414394735423	T1=T0	0	0.345362058852897	29.8894059094906	88.817436670779	88.4737434506241
+T1vsT0_GL350151_32884	T1vsT0	GL350151_32884	-0.957626620487203	1.9421122938632	0.170188893049237	T1=T0	0	0.345362058852897	4.60243759106838	24.7243951164809	21.9770142082978
+T1vsT0_GL350151_32898	T1vsT0	GL350151_32898	-0.990169274003537	1.98641804720299	0.153744057342787	T1=T0	0	0.345362058852897	4.60243759106838	25.6087427706126	22.8405187946568
+T1vsT0_GL350151_32906	T1vsT0	GL350151_32906	-0.990169274003537	1.98641804720299	0.153744057342787	T1=T0	0	0.345362058852897	4.60243759106838	25.6087427706126	22.8405187946568
+T1vsT0_GL350151_32910	T1vsT0	GL350151_32910	-0.659502799556883	1.57953816880106	0.179858948278144	T1=T0	0	0.345362058852897	17.7366251545205	42.92724866839	44.4056094917639
+T1vsT0_GL350151_32913	T1vsT0	GL350151_32913	-1.13363280783496	2.19410536430743	0.178686794135152	T1=T0	0	0.345362058852897	4.66115555795739	16.0514731430306	19.9787457765136
+T1vsT0_GL350151_32915	T1vsT0	GL350151_32915	-1.13363280783496	2.19410536430743	0.178686794135152	T1=T0	0	0.345362058852897	4.66115555795739	16.0514731430306	19.9787457765136
+T1vsT0_GL350737_41242	T1vsT0	GL350737_41242	-0.659502799556883	1.57953816880106	0.179858948278144	T1=T0	0	0.345362058852897	17.7366251545205	42.92724866839	44.4056094917639
+T1vsT0_GL350737_41243	T1vsT0	GL350737_41243	-1.13363280783496	2.19410536430743	0.178686794135152	T1=T0	0	0.345362058852897	4.66115555795739	16.0514731430306	19.9787457765136
+T1vsT0_GL351656_44862	T1vsT0	GL351656_44862	-0.990169274003537	1.98641804720299	0.153744057342787	T1=T0	0	0.345362058852897	4.60243759106838	25.6087427706126	22.8405187946568
+T1vsT0_GL357043_46322	T1vsT0	GL357043_46322	-1.23504038666537	2.35387936778647	0.184268478108408	T1=T0	0	0.345362058852897	3.31343434155413	13.0513763298296	15.8192358582501
+T1vsT0_GL366836_47437	T1vsT0	GL366836_47437	-1.05791427159614	2.08191947903748	0.127646727375515	T1=T0	0	0.345362058852897	6.64462795004153	25.6873101470662	29.2038965429374
+T1vsT0_GL366836_47447	T1vsT0	GL366836_47447	-1.05791427159614	2.08191947903748	0.127646727375515	T1=T0	0	0.345362058852897	6.64462795004153	25.6873101470662	29.2038965429374
+T1vsT0_GL369698_47842	T1vsT0	GL369698_47842	-1.13363280783496	2.19410536430743	0.178686794135152	T1=T0	0	0.345362058852897	4.66115555795739	16.0514731430306	19.9787457765136
+T1vsT0_GL369698_47844	T1vsT0	GL369698_47844	-1.13363280783496	2.19410536430743	0.178686794135152	T1=T0	0	0.345362058852897	4.66115555795739	16.0514731430306	19.9787457765136
+T1vsT0_api-mir-13a	T1vsT0	api-mir-13a	-0.505681441486344	1.41979382218621	0.129532327917502	T1=T0	0	0.345362058852897	2096.25066535355	2190.65508578226	3036.87928275295
+T1vsT0_api-mir-276	T1vsT0	api-mir-276	0.318392686425199	1.24694055219923	0.150261294677476	T1=T0	0	0.345362058852897	44732.2556555246	36053.6225796423	32203.6878048661
+T1vsT0_api-mir-2765	T1vsT0	api-mir-2765	-0.336660634413546	1.26283017098553	0.125507557558802	T1=T0	0	0.345362058852897	504.166562590324	501.98589724328	632.646871861759
+T1vsT0_api-mir-2a	T1vsT0	api-mir-2a	-0.354926312288598	1.27892025692896	0.108109822975427	T1=T0	0	0.345362058852897	1126.12814528614	834.523638972188	1237.86970894262
+T1vsT0_api-mir-3036-1	T1vsT0	api-mir-3036-1	-0.361165027760494	1.28446272838568	0.18740514381462	T1=T0	0	0.345362058852897	355.864419414785	378.098568231729	468.48378934247
+T1vsT0_api-mir-3036-2	T1vsT0	api-mir-3036-2	-0.361165027760494	1.28446272838568	0.18740514381462	T1=T0	0	0.345362058852897	355.864419414785	378.098568231729	468.48378934247
+T1vsT0_api-mir-3036-3	T1vsT0	api-mir-3036-3	-0.361172624981333	1.2844694923742	0.187482260520144	T1=T0	0	0.345362058852897	356.02291302258	377.932084361907	468.48378934247
+T1vsT0_api-mir-3036-4	T1vsT0	api-mir-3036-4	-0.361172624981333	1.2844694923742	0.187482260520144	T1=T0	0	0.345362058852897	356.02291302258	377.932084361907	468.48378934247
+T1vsT0_api-mir-3036-5	T1vsT0	api-mir-3036-5	-0.361172624981333	1.2844694923742	0.187482260520144	T1=T0	0	0.345362058852897	356.02291302258	377.932084361907	468.48378934247
+T1vsT0_api-mir-3047-1	T1vsT0	api-mir-3047-1	-0.791207303367046	1.73052202503399	0.159998517131627	T1=T0	0	0.345362058852897	203.230252972802	205.085416847614	345.919356459137
+T1vsT0_api-mir-3047-2	T1vsT0	api-mir-3047-2	-0.791207303367046	1.73052202503399	0.159998517131627	T1=T0	0	0.345362058852897	203.230252972802	205.085416847614	345.919356459137
+T1vsT0_api-mir-3055-1	T1vsT0	api-mir-3055-1	-0.828017877474729	1.77524467273975	0.16524976325067	T1=T0	0	0.345362058852897	18.2112883523139	38.1421525702081	48.45059536847
+T1vsT0_api-mir-3055-2	T1vsT0	api-mir-3055-2	-0.828017877474729	1.77524467273975	0.16524976325067	T1=T0	0	0.345362058852897	18.2112883523139	38.1421525702081	48.45059536847
+T1vsT0_api-mir-3055-3	T1vsT0	api-mir-3055-3	-0.828017877474729	1.77524467273975	0.16524976325067	T1=T0	0	0.345362058852897	18.2112883523139	38.1421525702081	48.45059536847
+T1vsT0_api-mir-3055-4	T1vsT0	api-mir-3055-4	-0.828017877474729	1.77524467273975	0.16524976325067	T1=T0	0	0.345362058852897	18.2112883523139	38.1421525702081	48.45059536847
+T1vsT0_api-mir-3055-5	T1vsT0	api-mir-3055-5	-0.828017877474729	1.77524467273975	0.16524976325067	T1=T0	0	0.345362058852897	18.2112883523139	38.1421525702081	48.45059536847
+T1vsT0_api-mir-8	T1vsT0	api-mir-8	0.301387655866288	1.23232915897502	0.155668223825451	T1=T0	0	0.345362058852897	6852.54595327988	6234.11314807414	5301.5246677413
+T1vsT0_api-mir-998	T1vsT0	api-mir-998	-0.270355221849614	1.2061047594822	0.155333456822636	T1=T0	0	0.345362058852897	35311.3030595825	28527.9229897474	38278.9942265222
+T1vsT0_GL350151_32890	T1vsT0	GL350151_32890	-0.624783371233295	1.54197927117204	0.210121605438243	T1=T0	0	0.38303417658013	17.5104113748143	42.2838873109649	42.7373848463161
+T1vsT0_api-mir-3027	T1vsT0	api-mir-3027	-0.374004072972836	1.29594462409968	0.221569133569384	T1=T0	0	0.399738127573631	404.312998546403	362.527824297402	492.94034451663
+T1vsT0_GL349919_26520	T1vsT0	GL349919_26520	-0.444615031913279	1.36095091252225	0.224044783872919	T1=T0	0	0.40007997120164	72.073883410293	116.176752645774	124.499541153818
+T1vsT0_GL349642_4949	T1vsT0	GL349642_4949	-0.883992175219735	1.84547497593283	0.248222658737491	T1=T0	0	0.4341360854419	6.08975436654529	16.9645086841215	20.0252950737267
+T1vsT0_GL349643_5182	T1vsT0	GL349643_5182	-0.791972149638995	1.7314397063134	0.262629842463207	T1=T0	0	0.4341360854419	4.31590876285712	16.8703162971331	15.5109406348709
+T1vsT0_GL349919_26542	T1vsT0	GL349919_26542	-0.880545815490303	1.84107170302585	0.262962428896236	T1=T0	0	0.4341360854419	24.4503049468148	89.0011005229108	88.0847020607618
+T1vsT0_GL349919_26564	T1vsT0	GL349919_26564	-0.880545815490303	1.84107170302585	0.262962428896236	T1=T0	0	0.4341360854419	24.4503049468148	89.0011005229108	88.0847020607618
+T1vsT0_GL349919_26580	T1vsT0	GL349919_26580	-0.878541997888134	1.83851633897005	0.259467467557085	T1=T0	0	0.4341360854419	24.4503049468148	88.2849331910451	87.6254945536924
+T1vsT0_GL349919_26590	T1vsT0	GL349919_26590	-0.880545815490303	1.84107170302585	0.262962428896236	T1=T0	0	0.4341360854419	24.4503049468148	89.0011005229108	88.0847020607618
+T1vsT0_GL350151_32872	T1vsT0	GL350151_32872	-0.677355765091056	1.59920597239121	0.253692064784858	T1=T0	0	0.4341360854419	17.422074847417	40.2506014278924	42.6696579688218
+T1vsT0_GL366836_47443	T1vsT0	GL366836_47443	-0.883992175219735	1.84547497593283	0.248222658737491	T1=T0	0	0.4341360854419	6.08975436654529	16.9645086841215	20.0252950737267
+T1vsT0_api-mir-252a	T1vsT0	api-mir-252a	0.279069348020315	1.21341188559627	0.276985916154431	T1=T0	0	0.453014348850705	489.114196700038	289.171809924299	308.466786767609
+T1vsT0_api-mir-993	T1vsT0	api-mir-993	0.231078213114539	1.17371180722932	0.291899793963046	T1=T0	0	0.472985777254936	517.095986431029	355.927103464731	364.184068355389
+T1vsT0_GL349714_13724	T1vsT0	GL349714_13724	0.459311564684204	1.37488558405437	0.328835399173946	T1=T0	0	0.512456531236149	141.498061593658	121.364759158602	95.0933122960213
+T1vsT0_GL349714_13726	T1vsT0	GL349714_13726	0.459311564684204	1.37488558405437	0.328835399173946	T1=T0	0	0.512456531236149	141.498061593658	121.364759158602	95.0933122960213
+T1vsT0_GL349714_13728	T1vsT0	GL349714_13728	0.459311564684204	1.37488558405437	0.328835399173946	T1=T0	0	0.512456531236149	141.498061593658	121.364759158602	95.0933122960213
+T1vsT0_GL350677_40695	T1vsT0	GL350677_40695	-0.678753365821881	1.60075594263251	0.327983243298273	T1=T0	0	0.512456531236149	5.6136940181826	13.8990465055077	15.6623504934394
+T1vsT0_GL351656_44870	T1vsT0	GL351656_44870	-0.720371992461227	1.64760680781334	0.33090050302677	T1=T0	0	0.512456531236149	28.7778527542278	98.2409625950879	89.0228336648316
+T1vsT0_GL349645_5442	T1vsT0	GL349645_5442	-0.635051370254868	1.5529930466698	0.354050375382921	T1=T0	0	0.538772310365314	14.8582519250457	52.996163581116	44.1680656848992
+T1vsT0_api-mir-1	T1vsT0	api-mir-1	0.462597587715488	1.37802072674669	0.353357870688933	T1=T0	0	0.538772310365314	180.619849632683	163.746504291107	121.181311601949
+T1vsT0_GL349642_4969	T1vsT0	GL349642_4969	-0.754581305006092	1.68714188351705	0.36989652032334	T1=T0	0	0.543965471063735	6.55800972940896	16.178928282704	18.17295099915
+T1vsT0_GL366836_47439	T1vsT0	GL366836_47439	-0.754581305006092	1.68714188351705	0.36989652032334	T1=T0	0	0.543965471063735	6.55800972940896	16.178928282704	18.17295099915
+T1vsT0_GL366836_47441	T1vsT0	GL366836_47441	-0.754581305006092	1.68714188351705	0.36989652032334	T1=T0	0	0.543965471063735	6.55800972940896	16.178928282704	18.17295099915
+T1vsT0_GL366836_47445	T1vsT0	GL366836_47445	-0.754581305006092	1.68714188351705	0.36989652032334	T1=T0	0	0.543965471063735	6.55800972940896	16.178928282704	18.17295099915
+T1vsT0_GL349645_5438	T1vsT0	GL349645_5438	-0.580401104597611	1.49526491116068	0.409268674845487	T1=T0	0	0.577596920144841	14.9720786249046	42.2540174631687	38.564470100365
+T1vsT0_GL349645_5440	T1vsT0	GL349645_5440	-0.580401104597611	1.49526491116068	0.409268674845487	T1=T0	0	0.577596920144841	14.9720786249046	42.2540174631687	38.564470100365
+T1vsT0_GL349645_5448	T1vsT0	GL349645_5448	-0.58055411835564	1.49542350894499	0.409076368908424	T1=T0	0	0.577596920144841	20.234881500788	66.9746615631992	55.9205425498732
+T1vsT0_GL349645_5452	T1vsT0	GL349645_5452	-0.580401104597611	1.49526491116068	0.409268674845487	T1=T0	0	0.577596920144841	14.9720786249046	42.2540174631687	38.564470100365
+T1vsT0_GL349645_5454	T1vsT0	GL349645_5454	-0.58055411835564	1.49542350894499	0.409076368908424	T1=T0	0	0.577596920144841	20.234881500788	66.9746615631992	55.9205425498732
+T1vsT0_GL349773_18697	T1vsT0	GL349773_18697	-0.386658553876426	1.30736189541788	0.444203121229423	T1=T0	0	0.613383459458722	13.3933664191246	23.7616433874445	24.1677107608458
+T1vsT0_api-mir-137	T1vsT0	api-mir-137	0.326956596512039	1.25436446639169	0.448646187489808	T1=T0	0	0.613383459458722	31.1024416700597	30.2080451857782	23.3256938026282
+T1vsT0_api-mir-275	T1vsT0	api-mir-275	0.288535774589896	1.22140002056932	0.43979952822743	T1=T0	0	0.613383459458722	53.5416861018258	80.9148205341786	52.2616666690044
+T1vsT0_api-mir-971	T1vsT0	api-mir-971	0.629668207441511	1.54720912380252	0.446002819883392	T1=T0	0	0.613383459458722	10.1407187013823	19.7487913349406	7.66479456863866
+T1vsT0_api-mir-184a	T1vsT0	api-mir-184a	-0.188918345017741	1.13990875326245	0.458262730930718	T1=T0	0	0.621674247386633	48955.440785817	35866.6670300699	47761.3653273075
+T1vsT0_GL350151_32870	T1vsT0	GL350151_32870	-0.537167849718544	1.45112102804964	0.472642602639854	T1=T0	0	0.636249657399803	6.52577459753034	20.259888596177	16.8331341845551
+T1vsT0_api-mir-34	T1vsT0	api-mir-34	-0.206027023104709	1.15350721118837	0.482779995567359	T1=T0	0	0.64493510858235	33.6733146899426	26.767434430309	33.78320785053
+T1vsT0_GL349872_24254	T1vsT0	GL349872_24254	0.137060074120019	1.09966193851187	0.487263425534449	T1=T0	0	0.645993177791883	732.301073986264	610.570405139264	607.144425415593
+T1vsT0_api-mir-306	T1vsT0	api-mir-306	-0.116411554251665	1.08403516292511	0.501007426865275	T1=T0	0	0.65922029850694	1764.58022199887	1478.63566622894	1749.8598153719
+T1vsT0_GL350222_34242	T1vsT0	GL350222_34242	0.148754966629635	1.108612336248	0.504928700150955	T1=T0	0	0.659421809898636	207.385266113065	204.094293618538	184.233673314165
+T1vsT0_GL350682_40710	T1vsT0	GL350682_40710	0.718850155640996	1.64586973474446	0.5245343732306	T1=T0	0	0.677189796763751	11.8785246839619	57.6693961245775	15.1093792744665
+T1vsT0_api-mir-184b	T1vsT0	api-mir-184b	-0.16639334626544	1.12224941659616	0.526273213484972	T1=T0	0	0.677189796763751	43427.1191642789	32911.4007978194	42422.936024093
+T1vsT0_api-mir-71	T1vsT0	api-mir-71	-0.17873920191839	1.13189426944141	0.553854266442803	T1=T0	0	0.707478077572923	110.914522043777	77.5719375098147	104.833522367662
+T1vsT0_GL350343_36473	T1vsT0	GL350343_36473	-0.19875898563541	1.1477106631003	0.567198973867199	T1=T0	0	0.714099427530646	162.229342389252	175.96217279623	192.03628664115
+T1vsT0_api-mir-316	T1vsT0	api-mir-316	0.237857877547622	1.17924041746979	0.563653082769071	T1=T0	0	0.714099427530646	29.2940452013454	14.9534399843751	18.1123394158094
+T1vsT0_api-mir-279b	T1vsT0	api-mir-279b	-0.102058637993565	1.07330390968664	0.57995095190047	T1=T0	0	0.724938689875587	615.057540608426	554.283861464607	626.144650512871
+T1vsT0_api-mir-263a	T1vsT0	api-mir-263a	0.257329698147274	1.19526432661657	0.608176743975592	T1=T0	0	0.754829292168288	114738.540121811	94800.7276519968	87248.5987485016
+T1vsT0_api-bantam	T1vsT0	api-bantam	0.097058232011608	1.06959025926495	0.617038865518444	T1=T0	0	0.760435221589632	16321.2717378554	12158.7515688539	13169.3308517045
+T1vsT0_api-mir-3031	T1vsT0	api-mir-3031	-0.169201827935527	1.12443621742729	0.63332858628247	T1=T0	0	0.769670156940502	167.696215387838	188.245374819867	197.60145077256
+T1vsT0_api-mir-996	T1vsT0	api-mir-996	0.239725716710288	1.1807681539953	0.631241874685807	T1=T0	0	0.769670156940502	30.9540188931113	16.9072732178458	19.6205244782686
+T1vsT0_GL349801_20413	T1vsT0	GL349801_20413	-0.186574723110314	1.1380585033338	0.646580208968097	T1=T0	0	0.780355424616669	19.7476856197604	14.9856656593161	18.9258171290887
+T1vsT0_GL350343_36481	T1vsT0	GL350343_36481	0.165816300611348	1.12180063176152	0.658047580503662	T1=T0	0	0.788755661562608	21.1875817224896	18.2147172220669	18.2496028315714
+T1vsT0_api-mir-3040	T1vsT0	api-mir-3040	0.123383217395928	1.08928631974164	0.682184965900586	T1=T0	0	0.812124959405459	461.832106680395	318.572656659124	353.320213891397
+T1vsT0_api-mir-263b	T1vsT0	api-mir-263b	-0.230980361370687	1.17363220215058	0.697955834350448	T1=T0	0	0.819746785310929	1251.71642775122	994.460582209598	1300.31895317557
+T1vsT0_api-mir-3018	T1vsT0	api-mir-3018	0.17013415265197	1.12516310596536	0.694541250708202	T1=T0	0	0.819746785310929	25.0073508370315	8.62911781908716	12.9763124689112
+T1vsT0_api-mir-29	T1vsT0	api-mir-29	-0.115561178234384	1.08339638213658	0.718323456811471	T1=T0	0	0.838044032946716	105.245364266731	94.6171458451392	107.910313729097
+T1vsT0_api-mir-9a	T1vsT0	api-mir-9a	-0.0784502994664945	1.05588323250338	0.742549555556205	T1=T0	0	0.860570676969111	812.438450656032	786.952021519981	841.300362032995
+T1vsT0_api-mir-3050	T1vsT0	api-mir-3050	-0.0803417480204076	1.05726845842578	0.766409541148289	T1=T0	0	0.882379405927306	1142501.70015826	795661.911903157	1008034.59361181
+T1vsT0_api-mir-3033	T1vsT0	api-mir-3033	0.0508557287878096	1.03587916923696	0.789146678837066	T1=T0	0	0.902618750303833	502.552807518651	332.193472624891	394.957854143393
+T1vsT0_api-mir-7	T1vsT0	api-mir-7	-0.0839548640418031	1.05991962237934	0.821089236842164	T1=T0	0	0.933055950957005	181.345502480794	189.343819213867	192.866444597218
+T1vsT0_api-mir-3043-1	T1vsT0	api-mir-3043-1	-0.0606704498728051	1.04295032857273	0.840298758796115	T1=T0	0	0.93663874388102	57.6997552376986	40.4424775820102	50.1296395288814
+T1vsT0_api-mir-3043-2	T1vsT0	api-mir-3043-2	-0.0606704498728051	1.04295032857273	0.840298758796115	T1=T0	0	0.93663874388102	57.6997552376986	40.4424775820102	50.1296395288814
+T1vsT0_api-mir-3043-3	T1vsT0	api-mir-3043-3	-0.0606704498728051	1.04295032857273	0.840298758796115	T1=T0	0	0.93663874388102	57.6997552376986	40.4424775820102	50.1296395288814
+T1vsT0_api-mir-317	T1vsT0	api-mir-317	0.0627695821790897	1.04446893379184	0.855892214174629	T1=T0	0	0.947981882788355	41.9865638867419	39.973195910454	38.1499577028816
+T1vsT0_api-mir-277	T1vsT0	api-mir-277	0.037580817237381	1.02639127891326	0.878902194393551	T1=T0	0	0.967345182508625	95.8454418109413	59.950707904155	74.0187227137694
+T1vsT0_GL349650_6636	T1vsT0	GL349650_6636	0.0164233199330276	1.01144881967945	0.950944499891273	T1=T0	0	0.967532037824197	687.359529366427	484.997109051297	571.761575450836
+T1vsT0_GL349650_6638	T1vsT0	GL349650_6638	0.0164233199330276	1.01144881967945	0.950944499891273	T1=T0	0	0.967532037824197	687.359529366427	484.997109051297	571.761575450836
+T1vsT0_GL349650_6640	T1vsT0	GL349650_6640	0.0164233199330276	1.01144881967945	0.950944499891273	T1=T0	0	0.967532037824197	687.359529366427	484.997109051297	571.761575450836
+T1vsT0_GL349650_6646	T1vsT0	GL349650_6646	0.0164233199330276	1.01144881967945	0.950944499891273	T1=T0	0	0.967532037824197	687.359529366427	484.997109051297	571.761575450836
+T1vsT0_GL349742_15837	T1vsT0	GL349742_15837	-0.0271288863461452	1.01898222557699	0.886388345249162	T1=T0	0	0.967532037824197	16838.4837907878	12660.4383260529	14878.3230778168
+T1vsT0_GL350137_32551	T1vsT0	GL350137_32551	-0.0750197975296233	1.05337549090811	0.933710532905093	T1=T0	0	0.967532037824197	204.143997030395	578.995678143302	358.835578453794
+T1vsT0_GL350137_32552	T1vsT0	GL350137_32552	-0.0737373050949295	1.05243950251709	0.935206728203719	T1=T0	0	0.967532037824197	116.544493511701	279.125976791414	186.851752515656
+T1vsT0_GL355572_46131	T1vsT0	GL355572_46131	0.0164233356871345	1.01144883072439	0.950945774318639	T1=T0	0	0.967532037824197	687.359529366427	484.997109051297	571.761575450836
+T1vsT0_api-mir-10	T1vsT0	api-mir-10	0.0311495747947241	1.02182601743353	0.937687018813089	T1=T0	0	0.967532037824197	1609762.52422668	1080955.87403039	1290939.44087786
+T1vsT0_api-mir-190	T1vsT0	api-mir-190	-0.0356914356001437	1.02504797662293	0.901881664477287	T1=T0	0	0.967532037824197	234.550188295047	221.766347279128	231.485466971721
+T1vsT0_api-mir-278	T1vsT0	api-mir-278	-0.0362475819316304	1.02544319983334	0.939540537737326	T1=T0	0	0.967532037824197	41.6572236507995	44.3288514195503	41.1737470124825
+T1vsT0_api-mir-3041	T1vsT0	api-mir-3041	0.0411648933341176	1.02894430472213	0.89846959252644	T1=T0	0	0.967532037824197	83.1697934295355	68.7196716946604	73.6148441337726
+T1vsT0_api-mir-9b	T1vsT0	api-mir-9b	0.0164413646692999	1.01146147061456	0.942020116365711	T1=T0	0	0.967532037824197	436.573003510837	335.799016629453	376.361439667079
+T1vsT0_api-mir-252b	T1vsT0	api-mir-252b	0.0211214044961437	1.01474793522848	0.961180689316308	T1=T0	0	0.972292604799733	80.5998452829956	66.0945308776993	70.3219832837863
+T1vsT0_GL350223_34252	T1vsT0	GL350223_34252	-0.0338080435006178	1.02371068245646	0.967881073478121	T1=T0	0	0.973443608383168	21.0291469282923	33.5756424868145	24.5027562953933
+T1vsT0_GL350370_36909	T1vsT0	GL350370_36909	0.00621519395425303	1.00431733712833	0.981568484688693	T1=T0	0	0.981568484688693	656.82657433825	458.154802585589	547.199142865752
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/AskoT1vsT2.txt	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,176 @@
+Test_id	measured_in@Contrast	is@gene	logFC	FC	PValue	Expression	Significance	FDR	T1/T1A	T1/T1K	T2/T2A	T2/T2K
+T1vsT2_api-mir-3024	T1vsT2	api-mir-3024	3.12174170464632	8.70438099023781	9.00393166340146e-05	T1>T2	1	0.0157568804109526	32.9381588675413	31.2093737502546	9.39844720626758	12.6426867572395
+T1vsT2_api-mir-316	T1vsT2	api-mir-316	-2.56031506201473	5.89836483907807	0.000564267422216593	T1<T2	-1	0.0493733994439519	29.2940452013454	14.9534399843751	47.3316760732136	57.1450820793195
+T1vsT2_GL350757_41318	T1vsT2	GL350757_41318	-1.2236513594056	2.33537035719147	0.0070903245043704	T1=T2	0	0.0689337104591566	154.093033384431	133.130797853428	222.856316018568	210.398577789772
+T1vsT2_GL350757_41320	T1vsT2	GL350757_41320	-1.2236513594056	2.33537035719147	0.0070903245043704	T1=T2	0	0.0689337104591566	154.093033384431	133.130797853428	222.856316018568	210.398577789772
+T1vsT2_GL350757_41322	T1vsT2	GL350757_41322	-1.2236513594056	2.33537035719147	0.0070903245043704	T1=T2	0	0.0689337104591566	154.093033384431	133.130797853428	222.856316018568	210.398577789772
+T1vsT2_GL350757_41324	T1vsT2	GL350757_41324	-1.2236513594056	2.33537035719147	0.0070903245043704	T1=T2	0	0.0689337104591566	154.093033384431	133.130797853428	222.856316018568	210.398577789772
+T1vsT2_GL350757_41326	T1vsT2	GL350757_41326	-1.2236513594056	2.33537035719147	0.0070903245043704	T1=T2	0	0.0689337104591566	154.093033384431	133.130797853428	222.856316018568	210.398577789772
+T1vsT2_GL350757_41328	T1vsT2	GL350757_41328	-1.2236513594056	2.33537035719147	0.0070903245043704	T1=T2	0	0.0689337104591566	154.093033384431	133.130797853428	222.856316018568	210.398577789772
+T1vsT2_api-mir-1	T1vsT2	api-mir-1	-2.32668513849045	5.01651386769124	0.00690315235901703	T1=T2	0	0.0689337104591566	180.619849632683	163.746504291107	381.774966277306	371.099133673289
+T1vsT2_api-mir-14	T1vsT2	api-mir-14	-1.75201918397251	3.36829660344174	0.00135175295890012	T1=T2	0	0.0689337104591566	5174.26337501864	4324.71028742041	9057.45291271703	8316.36967033474
+T1vsT2_api-mir-210	T1vsT2	api-mir-210	-1.99423211838173	3.98403996177628	0.00219873520800795	T1=T2	0	0.0689337104591566	45.7488925668745	20.0195697686999	66.6050846850626	60.1807998129075
+T1vsT2_api-mir-3016	T1vsT2	api-mir-3016	2.8083270926824	7.00471859094321	0.0027257406187562	T1=T2	0	0.0689337104591566	10.4497505123629	21.1433464017102	5.33918096274054	5.2451550522054
+T1vsT2_api-mir-3018	T1vsT2	api-mir-3018	-2.08253865932694	4.23551870074831	0.00531939401449926	T1=T2	0	0.0689337104591566	25.0073508370315	8.62911781908716	30.3840920325039	31.7226039874993
+T1vsT2_api-mir-929	T1vsT2	api-mir-929	-1.64972083151462	3.13772916703121	0.00343047066299578	T1=T2	0	0.0689337104591566	45.7383427423633	30.9159434838904	73.3466164710049	60.643677777599
+T1vsT2_api-mir-92a-1	T1vsT2	api-mir-92a-1	1.52984952229575	2.88755719389213	0.0035885903084464	T1=T2	0	0.0689337104591566	72.386227867033	54.1490720179198	35.5759781605864	38.8155292844677
+T1vsT2_api-mir-92a-2	T1vsT2	api-mir-92a-2	1.52984952229575	2.88755719389213	0.0035885903084464	T1=T2	0	0.0689337104591566	72.386227867033	54.1490720179198	35.5759781605864	38.8155292844677
+T1vsT2_api-mir-92b-1	T1vsT2	api-mir-92b-1	1.05599824524424	2.07915634146282	0.00607088774431841	T1=T2	0	0.0689337104591566	387.715661705752	354.519703647672	262.91725714257	251.764612041121
+T1vsT2_api-mir-92b-2	T1vsT2	api-mir-92b-2	1.05599824524424	2.07915634146282	0.00607088774431841	T1=T2	0	0.0689337104591566	387.715661705752	354.519703647672	262.91725714257	251.764612041121
+T1vsT2_api-mir-927	T1vsT2	api-mir-927	-1.40356536452645	2.64554574582873	0.0123315109227036	T1=T2	0	0.113579705867007	1222.6871883341	742.960038441659	1720.16476297276	1394.20082468705
+T1vsT2_GL349826_21746	T1vsT2	GL349826_21746	-1.19291272037751	2.28613836070488	0.0341430337873126	T1=T2	0	0.288955230397108	36.9544600878111	24.0458636715105	51.7665621942847	39.7552622980635
+T1vsT2_GL350222_34242	T1vsT2	GL350222_34242	-0.79707086088568	1.73756971245709	0.034674627647653	T1=T2	0	0.288955230397108	207.385266113065	204.094293618538	271.536440873514	267.557984759917
+T1vsT2_api-mir-87b	T1vsT2	api-mir-87b	-0.966857100334667	1.95457792131246	0.0547115040296977	T1=T2	0	0.435205145690778	178.020931797068	136.169251352098	227.212497056194	204.421850406862
+T1vsT2_GL349650_6636	T1vsT2	GL349650_6636	-0.789610976526501	1.72860827963722	0.0791797712306615	T1=T2	0	0.461881998845525	687.359529366427	484.997109051297	806.208552002674	718.499068558673
+T1vsT2_GL349650_6638	T1vsT2	GL349650_6638	-0.789610976526501	1.72860827963722	0.0791797712306615	T1=T2	0	0.461881998845525	687.359529366427	484.997109051297	806.208552002674	718.499068558673
+T1vsT2_GL349650_6640	T1vsT2	GL349650_6640	-0.789610976526501	1.72860827963722	0.0791797712306615	T1=T2	0	0.461881998845525	687.359529366427	484.997109051297	806.208552002674	718.499068558673
+T1vsT2_GL349650_6646	T1vsT2	GL349650_6646	-0.789610976526501	1.72860827963722	0.0791797712306615	T1=T2	0	0.461881998845525	687.359529366427	484.997109051297	806.208552002674	718.499068558673
+T1vsT2_GL350370_36909	T1vsT2	GL350370_36909	-0.803215163401591	1.74498563912862	0.076560223784824	T1=T2	0	0.461881998845525	656.82657433825	458.154802585589	772.848538093928	683.318052615232
+T1vsT2_GL355572_46131	T1vsT2	GL355572_46131	-0.789935809950406	1.72899753235447	0.0790715830532902	T1=T2	0	0.461881998845525	687.359529366427	484.997109051297	806.389998999727	718.499068558673
+T1vsT2_api-mir-3040	T1vsT2	api-mir-3040	-0.897553308668131	1.8629039716922	0.0755867195975235	T1=T2	0	0.461881998845525	461.832106680395	318.572656659124	577.80634143084	478.13260602389
+T1vsT2_api-mir-981	T1vsT2	api-mir-981	-1.63363717113863	3.10294294804171	0.0772866140703316	T1=T2	0	0.461881998845525	15.6864006352302	15.4284020425891	24.0573219619243	23.8163580683543
+T1vsT2_api-mir-277	T1vsT2	api-mir-277	-0.702485569116227	1.6273060078929	0.0891588697883581	T1=T2	0	0.503316200418151	95.8454418109413	59.950707904155	101.094878069469	93.4734733070941
+T1vsT2_api-mir-2a	T1vsT2	api-mir-2a	0.592757800182097	1.50812687091163	0.105441465776607	T1=T2	0	0.57663301596582	1126.12814528614	834.523638972188	804.844874667114	772.441552001314
+T1vsT2_GL350468_38246	T1vsT2	GL350468_38246	-0.797136982784513	1.73764935093813	0.121848210125341	T1=T2	0	0.641206908584688	683.497118292956	521.57331291497	796.136724378387	769.858616409501
+T1vsT2_api-mir-276	T1vsT2	api-mir-276	-0.549875434413753	1.46395928889856	0.124577342239311	T1=T2	0	0.641206908584688	44732.2556555246	36053.6225796423	49739.6581555238	47461.596670029
+T1vsT2_GL349642_4945	T1vsT2	GL349642_4945	0.908203710759888	1.87670736826185	0.337121415867633	T1=T2	0	0.819392330233829	116.896489669693	328.413968129475	101.61231882496	202.836868768343
+T1vsT2_GL349642_4947	T1vsT2	GL349642_4947	1.10590831711736	2.15234346437182	0.321978941028497	T1=T2	0	0.819392330233829	10.8735388983366	23.3733601863652	8.98727321466557	13.5611421639255
+T1vsT2_GL349642_4951	T1vsT2	GL349642_4951	1.10590831711736	2.15234346437182	0.321978941028497	T1=T2	0	0.819392330233829	10.8735388983366	23.3733601863652	8.98727321466557	13.5611421639255
+T1vsT2_GL349642_4955	T1vsT2	GL349642_4955	1.10590831711736	2.15234346437182	0.321978941028497	T1=T2	0	0.819392330233829	10.8735388983366	23.3733601863652	8.98727321466557	13.5611421639255
+T1vsT2_GL349642_4959	T1vsT2	GL349642_4959	0.908203710759888	1.87670736826185	0.337121415867633	T1=T2	0	0.819392330233829	116.896489669693	328.413968129475	101.61231882496	202.836868768343
+T1vsT2_GL349642_4961	T1vsT2	GL349642_4961	0.982717489583993	1.97618428613697	0.298821070762313	T1=T2	0	0.819392330233829	26.2552964125283	69.0764764157016	20.5220334361146	45.5079252688433
+T1vsT2_GL349642_4963	T1vsT2	GL349642_4963	0.908203710759888	1.87670736826185	0.337121415867633	T1=T2	0	0.819392330233829	116.896489669693	328.413968129475	101.61231882496	202.836868768343
+T1vsT2_GL349642_4965	T1vsT2	GL349642_4965	1.10590831711736	2.15234346437182	0.321978941028497	T1=T2	0	0.819392330233829	10.8735388983366	23.3733601863652	8.98727321466557	13.5611421639255
+T1vsT2_GL349643_5182	T1vsT2	GL349643_5182	1.32531382962428	2.50587392101724	0.291846146303744	T1=T2	0	0.819392330233829	4.31590876285712	16.8703162971331	4.05931469749039	7.7464892270617
+T1vsT2_GL349714_13724	T1vsT2	GL349714_13724	0.787992764968093	1.72667045797497	0.297606432357582	T1=T2	0	0.819392330233829	141.498061593658	121.364759158602	106.753742722073	93.184513796073
+T1vsT2_GL349714_13726	T1vsT2	GL349714_13726	0.787992764968093	1.72667045797497	0.297606432357582	T1=T2	0	0.819392330233829	141.498061593658	121.364759158602	106.753742722073	93.184513796073
+T1vsT2_GL349714_13728	T1vsT2	GL349714_13728	0.787992764968093	1.72667045797497	0.297606432357582	T1=T2	0	0.819392330233829	141.498061593658	121.364759158602	106.753742722073	93.184513796073
+T1vsT2_GL350137_32551	T1vsT2	GL350137_32551	1.86136316065593	3.63350819621238	0.219956532410199	T1=T2	0	0.819392330233829	204.143997030395	578.995678143302	103.57230467644	306.013099511433
+T1vsT2_GL350137_32552	T1vsT2	GL350137_32552	2.01263788968201	4.03519359183607	0.189735101364933	T1=T2	0	0.819392330233829	116.544493511701	279.125976791414	51.6643780671411	148.931866740123
+T1vsT2_GL350151_32890	T1vsT2	GL350151_32890	0.87785327157497	1.83763886150669	0.296550385059179	T1=T2	0	0.819392330233829	17.5104113748143	42.2838873109649	16.8987752295306	24.3082253888476
+T1vsT2_GL350151_32910	T1vsT2	GL350151_32910	0.800431979929181	1.7416225350212	0.332990589740301	T1=T2	0	0.819392330233829	17.7366251545205	42.92724866839	17.080222226584	26.2029181411405
+T1vsT2_GL350223_34252	T1vsT2	GL350223_34252	1.87356478232482	3.66436898210636	0.203073217619496	T1=T2	0	0.819392330233829	21.0291469282923	33.5756424868145	5.41058465149451	27.8738652634777
+T1vsT2_GL350343_36481	T1vsT2	GL350343_36481	-0.832202903741258	1.78040184845228	0.17506545868888	T1=T2	0	0.819392330233829	21.1875817224896	18.2147172220669	25.0627364783323	30.1075528576254
+T1vsT2_GL350677_40695	T1vsT2	GL350677_40695	1.20214024996852	2.30080744622618	0.311028596546837	T1=T2	0	0.819392330233829	5.6136940181826	13.8990465055077	2.62846685096616	13.43609533459
+T1vsT2_GL350737_41242	T1vsT2	GL350737_41242	0.800431979929181	1.7416225350212	0.332990589740301	T1=T2	0	0.819392330233829	17.7366251545205	42.92724866839	17.080222226584	26.2029181411405
+T1vsT2_api-bantam	T1vsT2	api-bantam	-0.363265369174785	1.28633406982524	0.255013896543067	T1=T2	0	0.819392330233829	16321.2717378554	12158.7515688539	17078.3447005196	14944.9044554132
+T1vsT2_api-mir-100	T1vsT2	api-mir-100	0.95547265754544	1.93921485779404	0.327267352378279	T1=T2	0	0.819392330233829	36.6867961405426	37.0363811562773	21.1027075981608	30.2097239192629
+T1vsT2_api-mir-1000	T1vsT2	api-mir-1000	-0.528665955630578	1.44259462706928	0.289390938974423	T1=T2	0	0.819392330233829	53.3343119331074	54.472321032134	69.9973296535426	58.6612204191131
+T1vsT2_api-mir-13a	T1vsT2	api-mir-13a	0.586361716231254	1.5014554991315	0.285194940975003	T1=T2	0	0.819392330233829	2096.25066535355	2190.65508578226	1719.53052217228	1773.7552599596
+T1vsT2_api-mir-252a	T1vsT2	api-mir-252a	-0.442606555616151	1.35905755616482	0.28554521984857	T1=T2	0	0.819392330233829	489.114196700038	289.171809924299	480.543592935641	396.625013068125
+T1vsT2_api-mir-263a	T1vsT2	api-mir-263a	-0.793266792251924	1.73299415936275	0.332120373749546	T1=T2	0	0.819392330233829	114738.540121811	94800.7276519968	163679.522376229	115147.562359967
+T1vsT2_api-mir-263b	T1vsT2	api-mir-263b	-1.043423639938	2.0611130535761	0.293248344247114	T1=T2	0	0.819392330233829	1251.71642775122	994.460582209598	1893.61155692519	1337.23450831487
+T1vsT2_api-mir-279a	T1vsT2	api-mir-279a	0.310184554206545	1.23986629749359	0.267538825345607	T1=T2	0	0.819392330233829	1807.69888237487	1417.07904547563	1441.70044089313	1432.98876412673
+T1vsT2_api-mir-2b	T1vsT2	api-mir-2b	0.514406996426605	1.42840688846883	0.175524558288475	T1=T2	0	0.819392330233829	532.896316982273	446.401152061298	425.755249577495	389.33468630738
+T1vsT2_api-mir-3049	T1vsT2	api-mir-3049	-0.706205485668349	1.63150734867717	0.216969506883755	T1=T2	0	0.819392330233829	94.7105661640103	53.1156765046011	109.554845586267	72.0853763631651
+T1vsT2_api-mir-306	T1vsT2	api-mir-306	0.357491451637538	1.28119622433988	0.212976884669674	T1=T2	0	0.819392330233829	1764.58022199887	1478.63566622894	1475.95237679632	1378.31249240608
+T1vsT2_api-mir-315	T1vsT2	api-mir-315	0.398650184859462	1.31827392940308	0.24782133714804	T1=T2	0	0.819392330233829	20928.2550507448	16149.5398678988	16207.8874348461	15815.8285621859
+T1vsT2_api-mir-34	T1vsT2	api-mir-34	-0.671334912956692	1.59254585456881	0.171233404747116	T1=T2	0	0.819392330233829	33.6733146899426	26.767434430309	36.5841102943991	37.427678364582
+T1vsT2_api-mir-71	T1vsT2	api-mir-71	0.62006401316559	1.53694337479066	0.219646068919577	T1=T2	0	0.819392330233829	110.914522043777	77.5719375098147	80.0860394443051	70.4597414922617
+T1vsT2_api-mir-8	T1vsT2	api-mir-8	-0.382586155887927	1.30367671558932	0.260435156342527	T1=T2	0	0.819392330233829	6852.54595327988	6234.11314807414	7719.78126352141	7208.95715011336
+T1vsT2_api-mir-87a	T1vsT2	api-mir-87a	-0.515553265184968	1.42954225580284	0.215641414730815	T1=T2	0	0.819392330233829	359.274465229513	241.568668415364	364.170268143297	336.035634591802
+T1vsT2_api-mir-996	T1vsT2	api-mir-996	0.823854749319571	1.77012930339275	0.313780429942788	T1=T2	0	0.819392330233829	30.9540188931113	16.9072732178458	18.3716222128667	16.5090926445355
+T1vsT2_api-mir-998	T1vsT2	api-mir-998	0.38487084527789	1.3057428875336	0.217845788305927	T1=T2	0	0.819392330233829	35311.3030595825	28527.9229897474	30986.3919268286	24896.0299871605
+T1vsT2_GL349643_5180	T1vsT2	GL349643_5180	1.14609288840246	2.2131371951755	0.345977828359107	T1=T2	0	0.829398903600599	4.54212254256334	17.4668387068677	4.2586247302231	9.25604252110125
+T1vsT2_api-mir-3032	T1vsT2	api-mir-3032	0.626160727369427	1.54345211796683	0.366291404644829	T1=T2	0	0.866229673146554	31.6881532348652	36.4674445149938	23.4780389246877	32.8486087182833
+T1vsT2_api-mir-10	T1vsT2	api-mir-10	-0.581188231831367	1.49608094284518	0.375270356890806	T1=T2	0	0.875630832745214	1609762.52422668	1080955.87403039	1918869.3641413	1356676.37011057
+T1vsT2_GL349642_4949	T1vsT2	GL349642_4949	0.895067330828115	1.85969667556788	0.495836770638695	T1=T2	0	0.889215137865559	6.08975436654529	16.9645086841215	6.23858283206665	8.91412436283476
+T1vsT2_GL349642_4954	T1vsT2	GL349642_4954	0.862234067745102	1.81785114331854	0.451489906824736	T1=T2	0	0.889215137865559	65.6308127111902	161.027468412219	59.8801426597752	97.8750108681155
+T1vsT2_GL349642_4958	T1vsT2	GL349642_4958	0.862234067745102	1.81785114331854	0.451489906824736	T1=T2	0	0.889215137865559	65.6308127111902	161.027468412219	59.8801426597752	97.8750108681155
+T1vsT2_GL349642_4969	T1vsT2	GL349642_4969	1.11477041285038	2.16560543419223	0.443212933904308	T1=T2	0	0.889215137865559	6.55800972940896	16.178928282704	6.25463860573694	7.5423138852036
+T1vsT2_GL349642_4972	T1vsT2	GL349642_4972	0.862234067745102	1.81785114331854	0.451489906824736	T1=T2	0	0.889215137865559	65.6308127111902	161.027468412219	59.8801426597752	97.8750108681155
+T1vsT2_GL349642_4974	T1vsT2	GL349642_4974	0.774434438456508	1.7105193665773	0.497960477204713	T1=T2	0	0.889215137865559	53.3370100028057	132.896009310663	49.4883060495524	84.7014662816012
+T1vsT2_GL349642_4976	T1vsT2	GL349642_4976	0.862234067745102	1.81785114331854	0.451489906824736	T1=T2	0	0.889215137865559	65.6308127111902	161.027468412219	59.8801426597752	97.8750108681155
+T1vsT2_GL349642_4978	T1vsT2	GL349642_4978	0.850731892713455	1.80341558281948	0.459201642239145	T1=T2	0	0.889215137865559	60.807187993068	150.137655781385	56.6716087462903	89.942765942774
+T1vsT2_GL349642_4980	T1vsT2	GL349642_4980	0.862234067745102	1.81785114331854	0.451489906824736	T1=T2	0	0.889215137865559	65.6308127111902	161.027468412219	59.8801426597752	97.8750108681155
+T1vsT2_GL349642_4982	T1vsT2	GL349642_4982	0.774434438456508	1.7105193665773	0.497960477204713	T1=T2	0	0.889215137865559	53.3370100028057	132.896009310663	49.4883060495524	84.7014662816012
+T1vsT2_GL349650_6642	T1vsT2	GL349650_6642	-0.390886845359724	1.31119916913423	0.493535088721844	T1=T2	0	0.889215137865559	19.27700657408	23.4204958217444	23.5577779476556	25.688221758373
+T1vsT2_GL349872_24254	T1vsT2	GL349872_24254	-0.267771998832032	1.2039470963629	0.404512489988428	T1=T2	0	0.889215137865559	732.301073986264	610.570405139264	736.088526679089	730.251807009881
+T1vsT2_GL366836_47439	T1vsT2	GL366836_47439	1.11477041285038	2.16560543419223	0.443212933904308	T1=T2	0	0.889215137865559	6.55800972940896	16.178928282704	6.25463860573694	7.5423138852036
+T1vsT2_GL366836_47441	T1vsT2	GL366836_47441	1.11477041285038	2.16560543419223	0.443212933904308	T1=T2	0	0.889215137865559	6.55800972940896	16.178928282704	6.25463860573694	7.5423138852036
+T1vsT2_GL366836_47443	T1vsT2	GL366836_47443	0.895067330828115	1.85969667556788	0.495836770638695	T1=T2	0	0.889215137865559	6.08975436654529	16.9645086841215	6.23858283206665	8.91412436283476
+T1vsT2_GL366836_47445	T1vsT2	GL366836_47445	1.11477041285038	2.16560543419223	0.443212933904308	T1=T2	0	0.889215137865559	6.55800972940896	16.178928282704	6.25463860573694	7.5423138852036
+T1vsT2_api-mir-252b	T1vsT2	api-mir-252b	-0.596605982791365	1.51215495334442	0.402079056594957	T1=T2	0	0.889215137865559	80.5998452829956	66.0945308776993	87.3965220353206	89.0590652091734
+T1vsT2_api-mir-3041	T1vsT2	api-mir-3041	-0.444036826763107	1.36040557817482	0.402179531808058	T1=T2	0	0.889215137865559	83.1697934295355	68.7196716946604	107.017450811661	73.5629952263426
+T1vsT2_api-mir-3055-1	T1vsT2	api-mir-3055-1	0.675953794925866	1.59765266418986	0.497382659005775	T1=T2	0	0.889215137865559	18.2112883523139	38.1421525702081	15.8225829508259	28.2579293430224
+T1vsT2_api-mir-3055-2	T1vsT2	api-mir-3055-2	0.675953794925866	1.59765266418986	0.497382659005775	T1=T2	0	0.889215137865559	18.2112883523139	38.1421525702081	15.8225829508259	28.2579293430224
+T1vsT2_api-mir-3055-3	T1vsT2	api-mir-3055-3	0.675953794925866	1.59765266418986	0.497382659005775	T1=T2	0	0.889215137865559	18.2112883523139	38.1421525702081	15.8225829508259	28.2579293430224
+T1vsT2_api-mir-3055-4	T1vsT2	api-mir-3055-4	0.675953794925866	1.59765266418986	0.497382659005775	T1=T2	0	0.889215137865559	18.2112883523139	38.1421525702081	15.8225829508259	28.2579293430224
+T1vsT2_api-mir-3055-5	T1vsT2	api-mir-3055-5	0.675953794925866	1.59765266418986	0.497382659005775	T1=T2	0	0.889215137865559	18.2112883523139	38.1421525702081	15.8225829508259	28.2579293430224
+T1vsT2_GL349650_6644	T1vsT2	GL349650_6644	-0.347880299712444	1.27268933596686	0.517601679569508	T1=T2	0	0.914952463885493	19.8834806136117	23.6355150917009	23.7570879803883	25.688221758373
+T1vsT2_GL349630_2419	T1vsT2	GL349630_2419	0.492603709859455	1.40698184206488	0.646374497790198	T1=T2	0	0.93495837349898	40.7692899051509	112.352482308845	42.5215455530646	77.1738957792082
+T1vsT2_GL349630_2421	T1vsT2	GL349630_2421	0.492603709859455	1.40698184206488	0.646374497790198	T1=T2	0	0.93495837349898	40.7692899051509	112.352482308845	42.5215455530646	77.1738957792082
+T1vsT2_GL349630_2423	T1vsT2	GL349630_2423	0.492603709859455	1.40698184206488	0.646374497790198	T1=T2	0	0.93495837349898	40.7692899051509	112.352482308845	42.5215455530646	77.1738957792082
+T1vsT2_GL349630_2425	T1vsT2	GL349630_2425	0.492603709859455	1.40698184206488	0.646374497790198	T1=T2	0	0.93495837349898	40.7692899051509	112.352482308845	42.5215455530646	77.1738957792082
+T1vsT2_GL349630_2427	T1vsT2	GL349630_2427	0.733418642999605	1.6625741009678	0.660869456323149	T1=T2	0	0.93495837349898	3.31343434155413	13.0513763298296	3.09959689136328	7.70734865102163
+T1vsT2_GL349642_4967	T1vsT2	GL349642_4967	0.417609541445142	1.33571252522044	0.723430888618105	T1=T2	0	0.93495837349898	6.64462795004153	25.6873101470662	11.5235597930116	11.5718209197646
+T1vsT2_GL349645_5438	T1vsT2	GL349645_5438	0.443982722407377	1.36035456081834	0.70670216942165	T1=T2	0	0.93495837349898	14.9720786249046	42.2540174631687	18.4934008532823	25.5330639918778
+T1vsT2_GL349645_5440	T1vsT2	GL349645_5440	0.443982722407377	1.36035456081834	0.70670216942165	T1=T2	0	0.93495837349898	14.9720786249046	42.2540174631687	18.4934008532823	25.5330639918778
+T1vsT2_GL349645_5442	T1vsT2	GL349645_5442	0.476153333920594	1.39102980663949	0.679645827317211	T1=T2	0	0.93495837349898	14.8582519250457	52.996163581116	20.0117081622308	28.1047432038348
+T1vsT2_GL349645_5448	T1vsT2	GL349645_5448	0.581801108885902	1.49671663399409	0.621771766354165	T1=T2	0	0.93495837349898	20.234881500788	66.9746615631992	24.508282544732	37.1908093099749
+T1vsT2_GL349645_5452	T1vsT2	GL349645_5452	0.443982722407377	1.36035456081834	0.70670216942165	T1=T2	0	0.93495837349898	14.9720786249046	42.2540174631687	18.4934008532823	25.5330639918778
+T1vsT2_GL349645_5454	T1vsT2	GL349645_5454	0.581801108885902	1.49671663399409	0.621771766354165	T1=T2	0	0.93495837349898	20.234881500788	66.9746615631992	24.508282544732	37.1908093099749
+T1vsT2_GL349755_17087	T1vsT2	GL349755_17087	0.733418642999605	1.6625741009678	0.660869456323149	T1=T2	0	0.93495837349898	3.31343434155413	13.0513763298296	3.09959689136328	7.70734865102163
+T1vsT2_GL349773_18697	T1vsT2	GL349773_18697	-0.436448265909041	1.3532686455861	0.601546106292998	T1=T2	0	0.93495837349898	13.3933664191246	23.7616433874445	17.0744059570634	27.0937814638994
+T1vsT2_GL349919_26520	T1vsT2	GL349919_26520	0.233284982613031	1.17550850943676	0.697935544520117	T1=T2	0	0.93495837349898	72.073883410293	116.176752645774	70.3745660356144	101.682183109349
+T1vsT2_GL349919_26542	T1vsT2	GL349919_26542	0.405128503772513	1.32420685493208	0.758651937353458	T1=T2	0	0.93495837349898	24.4503049468148	89.0011005229108	31.0941949886553	54.6219198835019
+T1vsT2_GL349919_26564	T1vsT2	GL349919_26564	0.405128503772513	1.32420685493208	0.758651937353458	T1=T2	0	0.93495837349898	24.4503049468148	89.0011005229108	31.0941949886553	54.6219198835019
+T1vsT2_GL349919_26580	T1vsT2	GL349919_26580	0.42115547462011	1.33899954889269	0.747024615600797	T1=T2	0	0.93495837349898	24.4503049468148	88.2849331910451	30.8788291822523	53.9592224886412
+T1vsT2_GL349919_26590	T1vsT2	GL349919_26590	0.405128503772513	1.32420685493208	0.758651937353458	T1=T2	0	0.93495837349898	24.4503049468148	89.0011005229108	31.0941949886553	54.6219198835019
+T1vsT2_GL349928_26838	T1vsT2	GL349928_26838	0.270554451318069	1.20627132843521	0.636099164856198	T1=T2	0	0.93495837349898	48.4496831345842	38.5345853531023	41.0100461864987	35.9090528426243
+T1vsT2_GL350151_32870	T1vsT2	GL350151_32870	0.61480872868589	1.53135495786279	0.632376164769766	T1=T2	0	0.93495837349898	6.52577459753034	20.259888596177	5.93033577721228	15.0244479823509
+T1vsT2_GL350151_32872	T1vsT2	GL350151_32872	0.335455532975869	1.26177575339695	0.735464141259952	T1=T2	0	0.93495837349898	17.422074847417	40.2506014278924	19.9841236092326	27.4418345048662
+T1vsT2_GL350151_32913	T1vsT2	GL350151_32913	0.587103872588132	1.50222808195441	0.689521683693614	T1=T2	0	0.93495837349898	4.66115555795739	16.0514731430306	5.18080920298251	10.510631192699
+T1vsT2_GL350151_32915	T1vsT2	GL350151_32915	0.587103872588132	1.50222808195441	0.689521683693614	T1=T2	0	0.93495837349898	4.66115555795739	16.0514731430306	5.18080920298251	10.510631192699
+T1vsT2_GL350682_40710	T1vsT2	GL350682_40710	0.895281068696944	1.85997221339018	0.61536215460945	T1=T2	0	0.93495837349898	11.8785246839619	57.6693961245775	7.32689713115084	40.6813728356422
+T1vsT2_GL350737_41243	T1vsT2	GL350737_41243	0.587103872588132	1.50222808195441	0.689521683693614	T1=T2	0	0.93495837349898	4.66115555795739	16.0514731430306	5.18080920298251	10.510631192699
+T1vsT2_GL357043_46322	T1vsT2	GL357043_46322	0.733418642999605	1.6625741009678	0.660869456323149	T1=T2	0	0.93495837349898	3.31343434155413	13.0513763298296	3.09959689136328	7.70734865102163
+T1vsT2_GL366836_47437	T1vsT2	GL366836_47437	0.417609541445142	1.33571252522044	0.723430888618105	T1=T2	0	0.93495837349898	6.64462795004153	25.6873101470662	11.5235597930116	11.5718209197646
+T1vsT2_GL366836_47447	T1vsT2	GL366836_47447	0.417609541445142	1.33571252522044	0.723430888618105	T1=T2	0	0.93495837349898	6.64462795004153	25.6873101470662	11.5235597930116	11.5718209197646
+T1vsT2_GL369698_47842	T1vsT2	GL369698_47842	0.587103872588132	1.50222808195441	0.689521683693614	T1=T2	0	0.93495837349898	4.66115555795739	16.0514731430306	5.18080920298251	10.510631192699
+T1vsT2_GL369698_47844	T1vsT2	GL369698_47844	0.587103872588132	1.50222808195441	0.689521683693614	T1=T2	0	0.93495837349898	4.66115555795739	16.0514731430306	5.18080920298251	10.510631192699
+T1vsT2_api-let-7	T1vsT2	api-let-7	0.275184492586286	1.210148833782	0.718056087582765	T1=T2	0	0.93495837349898	17.1052875628726	20.3697975474495	14.9263902951714	18.2778657962231
+T1vsT2_api-mir-137	T1vsT2	api-mir-137	-0.329753256635203	1.25679840657703	0.632652532945655	T1=T2	0	0.93495837349898	31.1024416700597	30.2080451857782	32.0583379127441	33.5626380393697
+T1vsT2_api-mir-184b	T1vsT2	api-mir-184b	-0.190380348110701	1.14106450329143	0.658397839246744	T1=T2	0	0.93495837349898	43427.1191642789	32911.4007978194	43217.5106675602	37731.0909485906
+T1vsT2_api-mir-275	T1vsT2	api-mir-275	-0.228565703928966	1.1716695216194	0.70334179299654	T1=T2	0	0.93495837349898	53.5416861018258	80.9148205341786	62.3873151783632	77.4611637185932
+T1vsT2_api-mir-278	T1vsT2	api-mir-278	0.476017395762769	1.390898742821	0.551361012033557	T1=T2	0	0.93495837349898	41.6572236507995	44.3288514195503	29.6178571627359	39.8880494365225
+T1vsT2_api-mir-281	T1vsT2	api-mir-281	-0.348457592700301	1.27319870324534	0.627748230328414	T1=T2	0	0.93495837349898	17.9980028180635	14.6499713109873	15.9702722689774	18.8509516140144
+T1vsT2_api-mir-2c	T1vsT2	api-mir-2c	0.181754363245861	1.13426234623825	0.634692455442277	T1=T2	0	0.93495837349898	49.1092218181985	66.1195303451075	58.4232368367937	48.5029841502638
+T1vsT2_api-mir-3047-1	T1vsT2	api-mir-3047-1	0.296095931633425	1.22781732459597	0.750484087146718	T1=T2	0	0.93495837349898	203.230252972802	205.085416847614	183.833264399272	179.143594709771
+T1vsT2_api-mir-3047-2	T1vsT2	api-mir-3047-2	0.296095931633425	1.22781732459597	0.750484087146718	T1=T2	0	0.93495837349898	203.230252972802	205.085416847614	183.833264399272	179.143594709771
+T1vsT2_api-mir-317	T1vsT2	api-mir-317	-0.27732496959182	1.21194562256656	0.622732747300201	T1=T2	0	0.93495837349898	41.9865638867419	39.973195910454	43.1237487603943	44.9959227533424
+T1vsT2_api-mir-971	T1vsT2	api-mir-971	-0.764963349362522	1.69932682754415	0.555584012095489	T1=T2	0	0.93495837349898	10.1407187013823	19.7487913349406	15.9855065951018	16.6065473899439
+T1vsT2_api-mir-9a	T1vsT2	api-mir-9a	-0.180578146023801	1.13333796848703	0.644906372226478	T1=T2	0	0.93495837349898	812.438450656032	786.952021519981	879.112275743298	819.629737700813
+T1vsT2_GL349742_15837	T1vsT2	GL349742_15837	-0.077281348169236	1.05502804402967	0.803461849902489	T1=T2	0	0.973221981180124	16838.4837907878	12660.4383260529	16136.5808468847	13939.7518458743
+T1vsT2_GL349801_20413	T1vsT2	GL349801_20413	0.153975871104475	1.11263151180526	0.820001762390478	T1=T2	0	0.973221981180124	19.7476856197604	14.9856656593161	15.6293738213989	15.2885918081573
+T1vsT2_GL349919_26570	T1vsT2	GL349919_26570	0.152863259601448	1.11177377724626	0.879095701269349	T1=T2	0	0.973221981180124	25.4501089849405	87.6001270254807	33.7588466169947	60.8751850112748
+T1vsT2_GL349919_26592	T1vsT2	GL349919_26592	0.159227153934204	1.11668877202708	0.90181269576025	T1=T2	0	0.973221981180124	6.67628355694396	25.3243219280574	7.31005430057552	21.114150881836
+T1vsT2_GL350343_36473	T1vsT2	GL350343_36473	-0.0749283444860523	1.05330871911042	0.895589722255796	T1=T2	0	0.973221981180124	162.229342389252	175.96217279623	164.839570604831	180.069135472355
+T1vsT2_GL351656_44870	T1vsT2	GL351656_44870	0.16497217852783	1.1211444572499	0.894328811576083	T1=T2	0	0.973221981180124	28.7778527542278	98.2409625950879	40.9262873559157	62.7420930233442
+T1vsT2_api-mir-190	T1vsT2	api-mir-190	0.100927781362402	1.07246292996933	0.831579165776638	T1=T2	0	0.973221981180124	234.550188295047	221.766347279128	231.694995089182	205.845854702742
+T1vsT2_api-mir-2765	T1vsT2	api-mir-2765	-0.04916949539772	1.03466913274755	0.889923080357453	T1=T2	0	0.973221981180124	504.166562590324	501.98589724328	512.975079380156	507.009610435658
+T1vsT2_api-mir-279b	T1vsT2	api-mir-279b	0.0531123728924739	1.03750074534084	0.860236868933231	T1=T2	0	0.973221981180124	615.057540608426	554.283861464607	593.854328320924	552.982505836701
+T1vsT2_api-mir-29	T1vsT2	api-mir-29	0.0772042188399727	1.05497164165223	0.883212197847981	T1=T2	0	0.973221981180124	105.245364266731	94.6171458451392	98.7017420713852	94.9590209808936
+T1vsT2_api-mir-3036-1	T1vsT2	api-mir-3036-1	-0.0623817873554679	1.04418821943277	0.888807544025596	T1=T2	0	0.973221981180124	355.864419414785	378.098568231729	375.340801378356	371.431717521057
+T1vsT2_api-mir-3036-2	T1vsT2	api-mir-3036-2	-0.0623817873554679	1.04418821943277	0.888807544025596	T1=T2	0	0.973221981180124	355.864419414785	378.098568231729	375.340801378356	371.431717521057
+T1vsT2_api-mir-3036-3	T1vsT2	api-mir-3036-3	-0.0616916243095803	1.04368881536419	0.890051535678869	T1=T2	0	0.973221981180124	356.02291302258	377.932084361907	375.157547119293	371.431717521057
+T1vsT2_api-mir-3036-4	T1vsT2	api-mir-3036-4	-0.0616916243095803	1.04368881536419	0.890051535678869	T1=T2	0	0.973221981180124	356.02291302258	377.932084361907	375.157547119293	371.431717521057
+T1vsT2_api-mir-3036-5	T1vsT2	api-mir-3036-5	-0.0616916243095803	1.04368881536419	0.890051535678869	T1=T2	0	0.973221981180124	356.02291302258	377.932084361907	375.157547119293	371.431717521057
+T1vsT2_api-mir-3043-1	T1vsT2	api-mir-3043-1	-0.0973262703093035	1.06978899689003	0.843794553084964	T1=T2	0	0.973221981180124	57.6997552376986	40.4424775820102	48.3999867820141	51.5082654013472
+T1vsT2_api-mir-3043-2	T1vsT2	api-mir-3043-2	-0.0973262703093035	1.06978899689003	0.843794553084964	T1=T2	0	0.973221981180124	57.6997552376986	40.4424775820102	48.3999867820141	51.5082654013472
+T1vsT2_api-mir-3043-3	T1vsT2	api-mir-3043-3	-0.0973262703093035	1.06978899689003	0.843794553084964	T1=T2	0	0.973221981180124	57.6997552376986	40.4424775820102	48.3999867820141	51.5082654013472
+T1vsT2_api-mir-3050	T1vsT2	api-mir-3050	0.0559546373818562	1.03954674822327	0.89941183195061	T1=T2	0	0.973221981180124	1142501.70015826	795661.911903157	1028755.47253531	850011.670784776
+T1vsT2_api-mir-7	T1vsT2	api-mir-7	-0.105827161281639	1.07611119606609	0.862204791982148	T1=T2	0	0.973221981180124	181.345502480794	189.343819213867	207.034028814017	173.186336148056
+T1vsT2_api-mir-993	T1vsT2	api-mir-993	-0.0412195507768203	1.02898328768674	0.906486759613487	T1=T2	0	0.973221981180124	517.095986431029	355.927103464731	451.118742022456	417.649465514703
+T1vsT2_api-mir-184a	T1vsT2	api-mir-184a	-0.0390450066057793	1.02743349090164	0.925330905014595	T1=T2	0	0.98141156592457	48955.440785817	35866.6670300699	45671.9115346193	39494.8236524716
+T1vsT2_api-mir-3031	T1vsT2	api-mir-3031	-0.0581845126333868	1.04115474704317	0.920478867564632	T1=T2	0	0.98141156592457	167.696215387838	188.245374819867	173.378004991112	186.623430921134
+T1vsT2_GL349643_5190	T1vsT2	GL349643_5190	-0.0426668290607514	1.03001605785128	0.961649132893672	T1=T2	0	0.998690037981219	2.73632941954876	11.030329473906	4.84406512480566	7.56335986023563
+T1vsT2_GL350151_32862	T1vsT2	GL350151_32862	-0.0193642913017359	1.01351278741972	0.982148041738455	T1=T2	0	0.998690037981219	29.3696377720969	86.6672382227376	38.7976244676746	68.4955728606815
+T1vsT2_GL350151_32866	T1vsT2	GL350151_32866	0.00225625053313585	1.00156513724646	0.998690037981219	T1=T2	0	0.998690037981219	29.8894059094906	88.817436670779	39.1623257237904	69.6964707324995
+T1vsT2_GL350151_32884	T1vsT2	GL350151_32884	-0.0424226558124306	1.02984174444643	0.965520504767908	T1=T2	0	0.998690037981219	4.60243759106838	24.7243951164809	7.06858703220598	18.050368601277
+T1vsT2_GL350151_32898	T1vsT2	GL350151_32898	-0.00976186403353511	1.00678935239405	0.987271238394924	T1=T2	0	0.998690037981219	4.60243759106838	25.6087427706126	7.06858703220598	18.2429383304036
+T1vsT2_GL350151_32906	T1vsT2	GL350151_32906	-0.00976186403353511	1.00678935239405	0.987271238394924	T1=T2	0	0.998690037981219	4.60243759106838	25.6087427706126	7.06858703220598	18.2429383304036
+T1vsT2_GL351656_44862	T1vsT2	GL351656_44862	-0.00976186403353511	1.00678935239405	0.987271238394924	T1=T2	0	0.998690037981219	4.60243759106838	25.6087427706126	7.06858703220598	18.2429383304036
+T1vsT2_api-mir-3027	T1vsT2	api-mir-3027	0.0213096232060162	1.0148803311966	0.965991192358469	T1=T2	0	0.998690037981219	404.312998546403	362.527824297402	373.591616924324	382.300123100955
+T1vsT2_api-mir-3033	T1vsT2	api-mir-3033	-0.00335649754218206	1.00232925531803	0.991314985890748	T1=T2	0	0.998690037981219	502.552807518651	332.193472624891	427.20126064499	393.371130813313
+T1vsT2_api-mir-9b	T1vsT2	api-mir-9b	-0.000782611364163497	1.00054261202122	0.998280719813556	T1=T2	0	0.998690037981219	436.573003510837	335.799016629453	398.350992944513	364.731785016796
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/Contrasts.txt	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,8 @@
+Condition	T1vsT0	T1vsT2	T1AvsT1K	AvsK
+T0A	-	0	0	+
+T1A	+	+	+	+
+T1K	+	+	-	-
+T2A	0	-	0	+
+T2K	0	-	0	-
+T3A	0	0	0	+
+T3K	0	0	0	-
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/Samples.txt	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,29 @@
+ID	condition	stage	treatment
+A32	T3A	T3	Acetone
+A34	T3A	T3	Acetone
+A37	T3A	T3	Acetone
+A39	T3A	T3	Acetone
+K32	T3K	T3	Kinoprene
+K34	T3K	T3	Kinoprene
+K37	T3K	T3	Kinoprene
+K39	T3K	T3	Kinoprene
+A02	T0A	T0	Acetone
+A06	T0A	T0	Acetone
+A08	T0A	T0	Acetone
+A09	T0A	T0	Acetone
+A12	T1A	T1	Acetone
+A16	T1A	T1	Acetone
+A18	T1A	T1	Acetone
+A19	T1A	T1	Acetone
+K12	T1K	T1	Kinoprene
+K16	T1K	T1	Kinoprene
+K18	T1K	T1	Kinoprene
+K19	T1K	T1	Kinoprene
+A22	T2A	T2	Acetone
+A24	T2A	T2	Acetone
+A27	T2A	T2	Acetone
+A29	T2A	T2	Acetone
+K22	T2K	T2	Kinoprene
+K24	T2K	T2	Kinoprene
+K27	T2K	T2	Kinoprene
+K29	T2K	T2	Kinoprene
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/condition.asko.txt	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,8 @@
+Condition	stage	treatment
+T3A	T3	Acetone
+T3K	T3	Kinoprene
+T0A	T0	Acetone
+T1A	T1	Acetone
+T1K	T1	Kinoprene
+T2A	T2	Acetone
+T2K	T2	Kinoprene
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/context.asko.txt	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,15 @@
+Context	has@Condition
+T1	T1A
+T1	T1K
+T0	T0A
+T2	T2A
+T2	T2K
+T1A	T1A
+T1K	T1K
+A	T0A
+A	T1A
+A	T2A
+A	T3A
+K	T1K
+K	T2K
+K	T3K
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/contrast.asko.txt	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,5 @@
+Contrast	context1_of@Context	context2_of@Context
+T1vsT0	T1	T0
+T1vsT2	T1	T2
+T1AvsT1K	T1A	T1K
+AvsK	A	K
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/test-data/counts.csv	Thu Apr 12 05:23:45 2018 -0400
@@ -0,0 +1,381 @@
+#miRNA	read_count	precursor	total	A32	A34	A37	A39	K32	K34	K37	K39	A02	A06	A08	A09	A12	A16	A18	A19	K12	K16	K18	K19	A22	A24	A27	A29	K22	K24	K27	K29	A32(norm)	A34(norm)	A37(norm)	A39(norm)	K32(norm)	K34(norm)	K37(norm)	K39(norm)	A02(norm)	A06(norm)	A08(norm)	A09(norm)	A12(norm)	A16(norm)	A18(norm)	A19(norm)	K12(norm)	K16(norm)	K18(norm)	K19(norm)	A22(norm)	A24(norm)	A27(norm)	A29(norm)	K22(norm)	K24(norm)	K27(norm)	K29(norm)
+GL349623_679	346.00	GL349623_679	346.00	16.00	1.00	11.00	6.00	4.00	14.00	4.00	16.00	7.00	49.00	1.00	10.00	8.00	18.00	23.00	18.00	0	16.00	9.00	10.00	22.00	16.00	12.00	20.00	10.00	4.00	12.00	9.00	7.39	2.57	7.74	3.64	2.74	14.77	2.56	8.85	1.51	9.55	1.39	4.27	2.92	4.37	7.78	5.12	0	4.54	4.97	5.45	3.64	4.52	2.76	7.64	2.85	4.19	4.87	2.67
+GL349624_956	13.00	GL349624_956	13.00	0	0	0	1.00	0	0	0	0	0	3.00	0	0	0	1.00	1.00	2.00	0	0	0	0	0	1.00	0	2.00	0	0	1.00	1.00	0	0	0	0.61	0	0	0	0	0	0.58	0	0	0	0.24	0.34	0.57	0	0	0	0	0	0.28	0	0.76	0	0	0.41	0.30
+GL349630_2419	2618.00	GL349630_2419	2618.00	10.00	1.00	14.00	66.00	18.00	31.00	207.00	47.00	32.00	627.00	63.00	93.00	20.00	39.00	75.00	52.00	5.00	166.00	260.00	152.00	14.00	20.00	97.00	85.00	19.00	11.00	155.00	239.00	4.62	2.57	9.85	40.02	12.32	32.71	132.53	26.01	6.91	122.25	87.69	39.70	7.30	9.48	25.36	14.81	9.44	47.06	143.62	82.78	2.32	5.65	22.31	32.45	5.41	11.51	62.88	70.79
+GL349630_2421	2618.00	GL349630_2421	2618.00	10.00	1.00	14.00	66.00	18.00	31.00	207.00	47.00	32.00	627.00	63.00	93.00	20.00	39.00	75.00	52.00	5.00	166.00	260.00	152.00	14.00	20.00	97.00	85.00	19.00	11.00	155.00	239.00	4.62	2.57	9.85	40.02	12.32	32.71	132.53	26.01	6.91	122.25	87.69	39.70	7.30	9.48	25.36	14.81	9.44	47.06	143.62	82.78	2.32	5.65	22.31	32.45	5.41	11.51	62.88	70.79
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+GL366836_47441	331.00	GL366836_47441	331.00	2.00	0	2.00	7.00	4.00	2.00	20.00	6.00	0	70.00	13.00	13.00	6.00	6.00	8.00	7.00	0	14.00	43.00	31.00	1.00	1.00	10.00	20.00	0	1.00	10.00	34.00	0.92	0	1.41	4.24	2.74	2.11	12.81	3.32	0	13.65	18.10	5.55	2.19	1.46	2.70	1.99	0	3.97	23.75	16.88	0.17	0.28	2.30	7.64	0	1.05	4.06	10.07
+GL366836_47443	344.00	GL366836_47443	344.00	2.00	0	0	7.00	3.00	3.00	21.00	7.00	1.00	66.00	16.00	15.00	4.00	9.00	8.00	6.00	0	15.00	48.00	30.00	2.00	1.00	10.00	19.00	2.00	1.00	15.00	33.00	0.92	0	0	4.24	2.05	3.17	13.45	3.87	0.22	12.87	22.27	6.40	1.46	2.19	2.70	1.71	0	4.25	26.52	16.34	0.33	0.28	2.30	7.25	0.57	1.05	6.08	9.77
+GL366836_47445	331.00	GL366836_47445	331.00	2.00	0	2.00	7.00	4.00	2.00	20.00	6.00	0	70.00	13.00	13.00	6.00	6.00	8.00	7.00	0	14.00	43.00	31.00	1.00	1.00	10.00	20.00	0	1.00	10.00	34.00	0.92	0	1.41	4.24	2.74	2.11	12.81	3.32	0	13.65	18.10	5.55	2.19	1.46	2.70	1.99	0	3.97	23.75	16.88	0.17	0.28	2.30	7.64	0	1.05	4.06	10.07
+GL366836_47447	506.00	GL366836_47447	506.00	0	0	4.00	17.00	5.00	10.00	38.00	10.00	7.00	84.00	26.00	17.00	1.00	11.00	11.00	11.00	1.00	33.00	63.00	37.00	3.00	10.00	17.00	26.00	6.00	1.00	20.00	37.00	0	0	2.81	10.31	3.42	10.55	24.33	5.53	1.51	16.38	36.19	7.26	0.36	2.67	3.72	3.13	1.89	9.36	34.80	20.15	0.50	2.82	3.91	9.93	1.71	1.05	8.11	10.96
+GL367407_47522	107.00	GL367407_47522	107.00	4.00	0	0	5.00	1.00	4.00	4.00	2.00	8.00	8.00	1.00	6.00	1.00	8.00	3.00	5.00	0	7.00	5.00	3.00	3.00	7.00	3.00	3.00	8.00	2.00	1.00	5.00	1.85	0	0	3.03	0.68	4.22	2.56	1.11	1.73	1.56	1.39	2.56	0.36	1.94	1.01	1.42	0	1.98	2.76	1.63	0.50	1.98	0.69	1.15	2.28	2.09	0.41	1.48
+GL367428_47527	37.00	GL367428_47527	37.00	3.00	0	3.00	0	0	2.00	2.00	0	3.00	0	0	1.00	0	2.00	1.00	1.00	0	2.00	4.00	1.00	1.00	6.00	0	1.00	2.00	0	2.00	0	1.39	0	2.11	0	0	2.11	1.28	0	0.65	0	0	0.43	0	0.49	0.34	0.28	0	0.57	2.21	0.54	0.17	1.69	0	0.38	0.57	0	0.81	0
+GL367428_47529	35.00	GL367428_47529	35.00	2.00	0	0	1.00	1.00	2.00	1.00	0	0	2.00	1.00	1.00	3.00	0	1.00	1.00	0	2.00	4.00	3.00	3.00	0	1.00	1.00	0	0	2.00	3.00	0.92	0	0	0.61	0.68	2.11	0.64	0	0	0.39	1.39	0.43	1.09	0	0.34	0.28	0	0.57	2.21	1.63	0.50	0	0.23	0.38	0	0	0.81	0.89
+GL369698_47842	340.00	GL369698_47842	340.00	0	0	1.00	10.00	4.00	2.00	21.00	7.00	1.00	86.00	10.00	18.00	0	0	15.00	8.00	1.00	12.00	47.00	21.00	1.00	5.00	8.00	11.00	2.00	4.00	17.00	28.00	0	0	0.70	6.06	2.74	2.11	13.45	3.87	0.22	16.77	13.92	7.68	0	0	5.07	2.28	1.89	3.40	25.96	11.44	0.17	1.41	1.84	4.20	0.57	4.19	6.90	8.29
+GL369698_47844	340.00	GL369698_47844	340.00	0	0	1.00	10.00	4.00	2.00	21.00	7.00	1.00	86.00	10.00	18.00	0	0	15.00	8.00	1.00	12.00	47.00	21.00	1.00	5.00	8.00	11.00	2.00	4.00	17.00	28.00	0	0	0.70	6.06	2.74	2.11	13.45	3.87	0.22	16.77	13.92	7.68	0	0	5.07	2.28	1.89	3.40	25.96	11.44	0.17	1.41	1.84	4.20	0.57	4.19	6.90	8.29
+GL370083_47873	306.00	GL370083_47873	306.00	9.00	1.00	10.00	15.00	4.00	6.00	8.00	12.00	15.00	20.00	2.00	8.00	10.00	20.00	13.00	18.00	0	16.00	7.00	10.00	22.00	18.00	14.00	9.00	9.00	4.00	12.00	14.00	4.16	2.57	7.04	9.10	2.74	6.33	5.12	6.64	3.24	3.90	2.78	3.41	3.65	4.86	4.40	5.12	0	4.54	3.87	5.45	3.64	5.08	3.22	3.44	2.56	4.19	4.87	4.15
+GL373398_48267	19.00	GL373398_48267	19.00	0	0	0	0	2.00	1.00	1.00	2.00	2.00	1.00	0	1.00	0	0	1.00	1.00	0	0	0	3.00	0	1.00	0	1.00	0	0	2.00	0	0	0	0	0	1.37	1.06	0.64	1.11	0.43	0.19	0	0.43	0	0	0.34	0.28	0	0	0	1.63	0	0.28	0	0.38	0	0	0.81	0
+GL373398_48269	18.00	GL373398_48269	18.00	1.00	0	0	0	2.00	1.00	1.00	2.00	2.00	1.00	0	1.00	0	0	1.00	1.00	0	0	0	2.00	0	1.00	0	1.00	0	0	1.00	0	0.46	0	0	0	1.37	1.06	0.64	1.11	0.43	0.19	0	0.43	0	0	0.34	0.28	0	0	0	1.09	0	0.28	0	0.38	0	0	0.41	0
+api-bantam	432104.00	api-bantam	432104.00	12933.00	3136.00	13406.00	16025.00	8825.00	10366.00	15491.00	18145.00	17425.00	24181.00	5222.00	14013.00	8983.00	22346.00	17729.00	28070.00	2126.00	21563.00	11827.00	13783.00	27452.00	15794.00	21127.00	19761.00	15659.00	6089.00	15489.00	25138.00	5974.42	8061.16	9431.48	9716.60	6039.57	10936.34	9918.35	10041.22	3763.60	4714.56	7268.93	5981.60	3278.70	5429.91	5993.86	7992.05	4015.97	6113.04	6533.26	7506.42	4539.53	4458.87	4858.65	7543.81	4455.79	6372.26	6283.22	7446.06
+api-let-7	601.00	api-let-7	601.00	15.00	5.00	5.00	15.00	8.00	11.00	10.00	7.00	86.00	121.00	27.00	15.00	15.00	23.00	15.00	20.00	5.00	25.00	23.00	18.00	16.00	20.00	11.00	23.00	25.00	11.00	9.00	17.00	6.93	12.85	3.52	9.10	5.47	11.61	6.40	3.87	18.58	23.59	37.58	6.40	5.47	5.59	5.07	5.69	9.44	7.09	12.71	9.80	2.65	5.65	2.53	8.78	7.11	11.51	3.65	5.04
+api-miR-1	9017.00	api-mir-1	9017.00	870.00	207.00	458.00	462.00	535.00	462.00	371.00	587.00	319.00	176.00	25.00	54.00	137.00	322.00	144.00	199.00	53.00	230.00	105.00	83.00	558.00	497.00	509.00	264.00	615.00	143.00	333.00	299.00	401.90	532.10	322.22	280.13	366.14	487.42	237.54	324.84	68.90	34.31	34.80	23.05	50.00	78.24	48.68	56.66	100.12	65.20	58.00	45.20	92.27	140.31	117.06	100.78	175.00	149.65	135.08	88.57
+api-miR-10	37343186.00	api-mir-10	37343186.00	1215798.00	176823.00	661753.00	731405.00	798628.00	448688.00	736797.00	817711.00	2590247.00	2590146.00	259262.00	994825.00	1630287.00	2032264.00	1221454.00	1716877.00	257124.00	1928820.00	816342.00	861810.00	3567234.00	2077633.00	2492524.00	1256604.00	2053686.00	455786.00	1293749.00	1658909.00	561639.82	454527.46	465560.96	443480.30	546557.38	473374.98	471745.42	452511.30	559463.94	504999.41	360888.08	424651.45	595037.39	493824.95	412951.79	488826.79	485701.39	546814.09	450948.92	469354.27	589887.05	586545.74	573214.74	479711.94	584379.32	476989.12	524818.08	491381.11
+api-miR-100	924.00	api-mir-100	924.00	17.00	8.00	11.00	18.00	18.00	7.00	10.00	10.00	110.00	221.00	30.00	29.00	58.00	17.00	17.00	32.00	11.00	38.00	27.00	35.00	28.00	30.00	18.00	23.00	53.00	16.00	10.00	22.00	7.85	20.56	7.74	10.91	12.32	7.39	6.40	5.53	23.76	43.09	41.76	12.38	21.17	4.13	5.75	9.11	20.78	10.77	14.91	19.06	4.63	8.47	4.14	8.78	15.08	16.74	4.06	6.52
+api-miR-1000	1553.00	api-mir-1000	1553.00	48.00	16.00	59.00	64.00	27.00	38.00	53.00	76.00	41.00	37.00	14.00	27.00	16.00	79.00	69.00	105.00	12.00	85.00	56.00	49.00	112.00	64.00	86.00	83.00	45.00	29.00	77.00	86.00	22.17	41.13	41.51	38.81	18.48	40.09	33.93	42.06	8.86	7.21	19.49	11.53	5.84	19.20	23.33	29.90	22.67	24.10	30.93	26.69	18.52	18.07	19.78	31.69	12.80	30.35	31.24	25.47
+api-miR-124	125.00	api-mir-124	125.00	3.00	0	3.00	3.00	2.00	4.00	3.00	4.00	9.00	2.00	2.00	7.00	2.00	7.00	4.00	8.00	3.00	5.00	5.00	5.00	5.00	6.00	7.00	5.00	8.00	0	8.00	5.00	1.39	0	2.11	1.82	1.37	4.22	1.92	2.21	1.94	0.39	2.78	2.99	0.73	1.70	1.35	2.28	5.67	1.42	2.76	2.72	0.83	1.69	1.61	1.91	2.28	0	3.25	1.48
+api-miR-137	763.00	api-mir-137	763.00	19.00	9.00	26.00	23.00	13.00	12.00	32.00	32.00	42.00	12.00	11.00	25.00	22.00	33.00	41.00	41.00	9.00	33.00	23.00	26.00	61.00	35.00	31.00	29.00	39.00	18.00	31.00	35.00	8.78	23.13	18.29	13.95	8.90	12.66	20.49	17.71	9.07	2.34	15.31	10.67	8.03	8.02	13.86	11.67	17.00	9.36	12.71	14.16	10.09	9.88	7.13	11.07	11.10	18.84	12.58	10.37
+api-miR-13a	51145.00	api-mir-13a	51145.00	818.00	501.00	1015.00	1167.00	703.00	884.00	1284.00	995.00	5535.00	2791.00	1198.00	3121.00	972.00	3106.00	3065.00	2700.00	633.00	2119.00	2121.00	1904.00	2176.00	2124.00	1877.00	2033.00	1790.00	1082.00	1616.00	1815.00	377.88	1287.83	714.08	707.60	481.11	932.64	822.10	550.62	1195.50	544.16	1667.59	1332.23	354.77	754.73	1036.22	768.74	1195.72	600.73	1171.64	1036.95	359.83	599.64	431.66	776.10	509.35	1132.33	655.54	537.62
+api-miR-14	195148.00	api-mir-14	195148.00	5738.00	1867.00	9946.00	10847.00	5534.00	6983.00	9924.00	11542.00	6443.00	3637.00	869.00	2136.00	3440.00	7745.00	5123.00	7265.00	813.00	8183.00	3944.00	4257.00	11516.00	8840.00	11986.00	11937.00	10263.00	3103.00	7556.00	13711.00	2650.68	4799.17	6997.28	6576.97	3787.31	7367.21	6353.99	6387.20	1391.61	709.10	1209.63	911.77	1255.56	1881.98	1731.99	2068.48	1535.74	2319.85	2178.67	2318.42	1904.32	2495.66	2756.46	4556.98	2920.35	3247.35	3065.14	4061.30
+api-miR-184a	1146519.00	api-mir-184a	1146519.00	31197.00	6587.00	22780.00	23373.00	19645.00	18900.00	27796.00	27451.00	74726.00	102526.00	13391.00	45082.00	36790.00	68025.00	50111.00	60982.00	7625.00	64422.00	32055.00	31556.00	72716.00	46690.00	65139.00	39574.00	48157.00	16590.00	39852.00	52781.00	14411.50	16932.03	16026.34	14171.99	13444.46	19939.88	17796.81	15191.05	16139.97	19989.44	18640.03	19243.72	13427.96	16529.57	16941.63	17362.71	14403.45	18263.42	17707.24	17185.86	12024.51	13181.26	14980.25	15107.48	13703.14	17361.77	16166.23	15634.12
+api-miR-184b	1060133.00	api-mir-184b	1060133.00	30760.00	6506.00	21533.00	22803.00	18955.00	18654.00	26472.00	26946.00	67625.00	91389.00	11452.00	39669.00	34439.00	60766.00	40900.00	53838.00	6879.00	60886.00	29136.00	28712.00	69028.00	44224.00	61291.00	37503.00	46326.00	15985.00	37542.00	49914.00	14209.63	16723.82	15149.04	13826.38	12972.24	19680.35	16949.10	14911.59	14606.23	17818.07	15940.98	16933.13	12569.87	14765.68	13827.56	15328.68	12994.27	17260.98	16094.78	15636.97	11414.65	12485.07	14095.31	14316.87	13182.13	16728.62	15229.17	14784.90
+api-miR-190	5824.00	api-mir-190	5824.00	107.00	43.00	137.00	166.00	80.00	109.00	156.00	141.00	466.00	306.00	67.00	206.00	124.00	348.00	260.00	379.00	55.00	272.00	228.00	209.00	297.00	296.00	286.00	227.00	255.00	74.00	209.00	321.00	49.43	110.53	96.38	100.65	54.75	115.00	99.88	78.03	100.65	59.66	93.26	87.93	45.26	84.56	87.90	107.91	103.89	77.11	125.95	113.82	49.11	83.57	65.77	86.66	72.56	77.44	84.78	95.08
+api-miR-1923	3.00	api-mir-1923	3.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.00	0	0	1.00	1.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.54	0	0	0.23	0.38	0	0	0	0
+api-miR-210	1439.00	api-mir-210	1439.00	62.00	26.00	60.00	52.00	47.00	69.00	63.00	92.00	30.00	19.00	4.00	23.00	18.00	61.00	72.00	68.00	1.00	53.00	32.00	19.00	95.00	55.00	99.00	82.00	56.00	31.00	57.00	93.00	28.64	66.83	42.21	31.53	32.17	72.80	40.34	50.91	6.48	3.70	5.57	9.82	6.57	14.82	24.34	19.36	1.89	15.03	17.68	10.35	15.71	15.53	22.77	31.30	15.93	32.44	23.12	27.55
+api-miR-219	179.00	api-mir-219	179.00	7.00	3.00	3.00	6.00	6.00	5.00	6.00	9.00	3.00	4.00	0	2.00	0	6.00	8.00	10.00	1.00	9.00	3.00	1.00	9.00	14.00	8.00	16.00	13.00	5.00	8.00	14.00	3.23	7.71	2.11	3.64	4.11	5.28	3.84	4.98	0.65	0.78	0	0.85	0	1.46	2.70	2.85	1.89	2.55	1.66	0.54	1.49	3.95	1.84	6.11	3.70	5.23	3.25	4.15
+api-miR-252a	10859.00	api-mir-252a	10859.00	390.00	98.00	300.00	290.00	226.00	260.00	348.00	340.00	499.00	430.00	131.00	290.00	284.00	752.00	620.00	581.00	61.00	512.00	270.00	255.00	798.00	498.00	637.00	421.00	476.00	168.00	446.00	478.00	180.16	251.91	211.06	175.84	154.67	274.31	222.81	188.15	107.78	83.84	182.35	123.79	103.66	182.73	209.61	165.42	115.23	145.15	149.15	138.88	131.96	140.59	146.49	160.72	135.45	175.82	180.92	141.59
+api-miR-252b	2211.00	api-mir-252b	2211.00	70.00	35.00	76.00	73.00	63.00	68.00	80.00	71.00	193.00	44.00	20.00	39.00	27.00	142.00	101.00	130.00	17.00	73.00	69.00	63.00	130.00	96.00	94.00	103.00	106.00	45.00	81.00	102.00	32.34	89.97	53.47	44.26	43.12	71.74	51.22	39.29	41.69	8.58	27.84	16.65	9.85	34.50	34.15	37.01	32.11	20.70	38.12	34.31	21.50	27.10	21.62	39.32	30.16	47.09	32.86	30.21
+api-miR-263a	2893540.00	api-mir-263a	2893540.00	137589.00	18501.00	63816.00	61237.00	80682.00	37336.00	67561.00	67343.00	192201.00	113910.00	25162.00	63661.00	117427.00	138660.00	104804.00	100815.00	31386.00	121081.00	57141.00	54798.00	352437.00	195906.00	165728.00	80220.00	213992.00	35983.00	87902.00	106261.00	63559.46	47557.23	44896.26	37130.46	55216.37	39390.24	43256.95	37266.80	41513.23	22208.97	35025.06	27174.36	42859.60	33693.34	35432.36	28703.90	59287.44	34326.06	31564.80	29843.79	58279.90	55307.09	38113.07	30624.20	60891.73	37656.93	35658.04	31475.29
+api-miR-263b	32641.00	api-mir-263b	32641.00	1574.00	141.00	625.00	555.00	851.00	319.00	651.00	574.00	3148.00	1523.00	330.00	863.00	1398.00	1337.00	1132.00	1002.00	361.00	954.00	633.00	546.00	4285.00	2481.00	1493.00	832.00	3090.00	317.00	791.00	835.00	727.11	362.44	439.70	336.52	582.40	336.55	416.81	317.64	679.93	296.94	459.35	368.38	510.26	324.88	382.71	285.29	681.92	270.46	349.67	297.36	708.58	700.42	343.35	317.62	879.26	331.75	320.87	247.33
+api-miR-275	1721.00	api-mir-275	1721.00	47.00	15.00	45.00	60.00	58.00	58.00	68.00	59.00	80.00	90.00	21.00	48.00	26.00	83.00	50.00	102.00	26.00	72.00	52.00	75.00	110.00	58.00	77.00	63.00	95.00	42.00	71.00	70.00	21.71	38.56	31.66	36.38	39.69	61.19	43.54	32.65	17.28	17.55	29.23	20.49	9.49	20.17	16.90	29.04	49.11	20.41	28.72	40.85	18.19	16.37	17.71	24.05	27.03	43.95	28.80	20.73
+api-miR-276	1220289.00	api-mir-276	1220289.00	34785.00	11734.00	38169.00	48007.00	23633.00	35793.00	43432.00	56601.00	48772.00	55933.00	12269.00	31181.00	28884.00	61398.00	48430.00	65530.00	7604.00	59706.00	34250.00	34580.00	72666.00	45011.00	65199.00	62255.00	46867.00	21010.00	50634.00	75956.00	16068.99	30162.51	26852.91	29108.58	16173.73	37762.34	27807.99	31322.30	10534.20	10905.23	17078.23	13309.94	10542.35	14919.25	16373.32	18657.61	14363.78	16926.45	18919.77	18832.77	12016.24	12707.25	14994.05	23766.01	13336.07	21987.38	20540.03	22498.73
+api-miR-2765	13313.00	api-mir-2765	13313.00	197.00	69.00	305.00	245.00	120.00	191.00	351.00	268.00	901.00	1159.00	246.00	627.00	313.00	611.00	589.00	803.00	116.00	611.00	526.00	536.00	795.00	495.00	642.00	586.00	526.00	239.00	521.00	725.00	91.00	177.37	214.58	148.55	82.12	201.51	224.73	148.31	194.61	225.97	342.43	267.64	114.24	148.47	199.13	228.63	219.12	173.22	290.56	291.91	131.46	139.75	147.64	223.71	149.67	250.12	211.35	214.75
+api-miR-277	2546.00	api-mir-277	2546.00	83.00	25.00	70.00	118.00	54.00	91.00	90.00	107.00	103.00	138.00	33.00	66.00	64.00	117.00	111.00	141.00	8.00	102.00	84.00	71.00	150.00	94.00	138.00	116.00	82.00	48.00	92.00	150.00	38.34	64.26	49.25	71.55	36.96	96.01	57.62	59.21	22.25	26.91	45.94	28.17	23.36	28.43	37.53	40.15	15.11	28.92	46.40	38.67	24.80	26.54	31.74	44.28	23.33	50.23	37.32	44.43
+api-miR-278	1551.00	api-mir-278	1551.00	111.00	64.00	89.00	117.00	93.00	118.00	75.00	118.00	85.00	67.00	18.00	17.00	28.00	55.00	63.00	35.00	16.00	25.00	46.00	25.00	42.00	42.00	23.00	32.00	49.00	21.00	31.00	46.00	51.28	164.51	62.61	70.94	63.65	124.49	48.02	65.30	18.36	13.06	25.06	7.26	10.22	13.36	21.30	9.97	30.22	7.09	25.41	13.62	6.95	11.86	5.29	12.22	13.94	21.98	12.58	13.63
+api-miR-2796	32.00	api-mir-2796	32.00	1.00	0	2.00	2.00	0	2.00	4.00	2.00	0	3.00	1.00	0	2.00	0	0	1.00	0	1.00	0	0	0	3.00	2.00	0	2.00	0	1.00	3.00	0.46	0	1.41	1.21	0	2.11	2.56	1.11	0	0.58	1.39	0	0.73	0	0	0.28	0	0.28	0	0	0	0.85	0.46	0	0.57	0	0.41	0.89
+api-miR-279a	44409.00	api-mir-279a	44409.00	838.00	219.00	964.00	1138.00	581.00	728.00	1261.00	1228.00	2904.00	4275.00	747.00	2106.00	1150.00	2287.00	1950.00	2926.00	214.00	2348.00	1733.00	1727.00	2107.00	1340.00	1940.00	1710.00	1428.00	590.00	1604.00	2366.00	387.12	562.94	678.20	690.02	397.62	768.05	807.37	679.56	627.23	833.49	1039.81	898.97	419.74	555.72	659.26	833.09	404.24	665.65	957.31	940.55	348.42	378.30	446.15	652.80	406.34	617.45	650.67	700.83
+api-miR-279b	16338.00	api-mir-279b	16338.00	361.00	105.00	449.00	517.00	269.00	295.00	520.00	520.00	928.00	1118.00	238.00	612.00	339.00	828.00	658.00	1087.00	90.00	896.00	672.00	648.00	843.00	563.00	806.00	706.00	594.00	232.00	579.00	865.00	166.76	269.90	315.88	313.48	184.10	311.23	332.94	287.76	200.44	217.98	331.29	261.24	123.73	201.20	222.46	309.49	170.01	254.01	371.21	352.91	139.40	158.94	185.36	269.52	169.02	242.79	234.88	256.22
+api-miR-281	451.00	api-mir-281	451.00	16.00	7.00	13.00	23.00	5.00	18.00	23.00	32.00	13.00	13.00	5.00	3.00	12.00	29.00	17.00	24.00	4.00	23.00	6.00	14.00	16.00	13.00	25.00	25.00	14.00	11.00	21.00	26.00	7.39	17.99	9.15	13.95	3.42	18.99	14.73	17.71	2.81	2.53	6.96	1.28	4.38	7.05	5.75	6.83	7.56	6.52	3.31	7.62	2.65	3.67	5.75	9.54	3.98	11.51	8.52	7.70
+api-miR-29	2585.00	api-mir-29	2585.00	37.00	10.00	65.00	60.00	28.00	41.00	69.00	73.00	173.00	95.00	50.00	119.00	43.00	145.00	141.00	182.00	17.00	134.00	118.00	110.00	98.00	105.00	173.00	105.00	105.00	35.00	130.00	124.00	17.09	25.71	45.73	36.38	19.16	43.26	44.18	40.40	37.37	18.52	69.60	50.80	15.69	35.23	47.67	51.82	32.11	37.99	65.18	59.91	16.21	29.64	39.79	40.08	29.88	36.63	52.74	36.73
+api-miR-2a	24199.00	api-mir-2a	24199.00	393.00	163.00	448.00	537.00	351.00	354.00	575.00	548.00	2041.00	1610.00	496.00	1240.00	548.00	1600.00	1529.00	1627.00	167.00	1045.00	1020.00	959.00	1096.00	902.00	1012.00	884.00	808.00	363.00	818.00	1065.00	181.55	419.00	315.18	325.60	240.21	373.48	368.15	303.26	440.83	313.90	690.42	529.31	200.01	388.79	516.93	463.24	315.46	296.25	563.45	522.29	181.24	254.65	232.73	337.47	229.92	379.89	331.83	315.46
+api-miR-2b	12418.00	api-mir-2b	12418.00	166.00	56.00	235.00	260.00	120.00	177.00	280.00	284.00	1189.00	968.00	214.00	610.00	330.00	682.00	621.00	812.00	88.00	669.00	479.00	489.00	551.00	438.00	551.00	533.00	398.00	160.00	445.00	613.00	76.68	143.95	165.33	157.65	82.12	186.74	179.27	157.16	256.81	188.73	297.88	260.38	120.45	165.72	209.95	231.19	166.23	189.66	264.60	266.32	91.11	123.65	126.72	203.47	113.25	167.44	180.52	181.58
+api-miR-2c	1651.00	api-mir-2c	1651.00	31.00	12.00	20.00	31.00	20.00	20.00	36.00	36.00	116.00	215.00	32.00	86.00	25.00	81.00	50.00	79.00	12.00	110.00	71.00	72.00	66.00	56.00	85.00	79.00	37.00	20.00	63.00	90.00	14.32	30.85	14.07	18.80	13.69	21.10	23.05	19.92	25.05	41.92	44.54	36.71	9.12	19.68	16.90	22.49	22.67	31.18	39.22	39.21	10.91	15.81	19.55	30.16	10.53	20.93	25.56	26.66
+api-miR-3015a	72.00	api-mir-3015a-1	72.00	5.00	2.00	7.00	3.00	3.00	4.00	7.00	3.00	1.00	3.00	2.00	1.00	2.00	0	1.00	1.00	3.00	3.00	2.00	5.00	1.00	1.00	1.00	3.00	0	3.00	0	5.00	2.31	5.14	4.92	1.82	2.05	4.22	4.48	1.66	0.22	0.58	2.78	0.43	0.73	0	0.34	0.28	5.67	0.85	1.10	2.72	0.17	0.28	0.23	1.15	0	3.14	0	1.48
+api-miR-3015a	72.00	api-mir-3015a-2	72.00	5.00	2.00	7.00	3.00	3.00	4.00	7.00	3.00	1.00	3.00	2.00	1.00	2.00	0	1.00	1.00	3.00	3.00	2.00	5.00	1.00	1.00	1.00	3.00	0	3.00	0	5.00	2.31	5.14	4.92	1.82	2.05	4.22	4.48	1.66	0.22	0.58	2.78	0.43	0.73	0	0.34	0.28	5.67	0.85	1.10	2.72	0.17	0.28	0.23	1.15	0	3.14	0	1.48
+api-miR-3015b	90.00	api-mir-3015b	90.00	5.00	4.00	6.00	4.00	2.00	3.00	5.00	3.00	3.00	5.00	4.00	2.00	4.00	6.00	2.00	4.00	1.00	0	2.00	3.00	4.00	1.00	4.00	4.00	3.00	1.00	2.00	3.00	2.31	10.28	4.22	2.43	1.37	3.17	3.20	1.66	0.65	0.97	5.57	0.85	1.46	1.46	0.68	1.14	1.89	0	1.10	1.63	0.66	0.28	0.92	1.53	0.85	1.05	0.81	0.89
+api-miR-3015c	218.00	api-mir-3015c	218.00	3.00	1.00	6.00	5.00	4.00	6.00	6.00	9.00	9.00	13.00	2.00	15.00	5.00	10.00	4.00	14.00	1.00	19.00	6.00	9.00	10.00	11.00	16.00	14.00	2.00	3.00	7.00	8.00	1.39	2.57	4.22	3.03	2.74	6.33	3.84	4.98	1.94	2.53	2.78	6.40	1.82	2.43	1.35	3.99	1.89	5.39	3.31	4.90	1.65	3.11	3.68	5.34	0.57	3.14	2.84	2.37
+api-miR-3016	382.00	api-mir-3016	382.00	6.00	0	3.00	6.00	1.00	5.00	6.00	4.00	40.00	89.00	13.00	19.00	6.00	6.00	21.00	13.00	3.00	32.00	28.00	28.00	8.00	5.00	4.00	9.00	6.00	0	11.00	10.00	2.77	0	2.11	3.64	0.68	5.28	3.84	2.21	8.64	17.35	18.10	8.11	2.19	1.46	7.10	3.70	5.67	9.07	15.47	15.25	1.32	1.41	0.92	3.44	1.71	0	4.46	2.96
+api-miR-3017a	18.00	api-mir-3017a	18.00	2.00	0	2.00	3.00	1.00	0	0	1.00	0	0	0	0	0	0	0	0	1.00	1.00	0	0	1.00	0	1.00	1.00	0	1.00	2.00	1.00	0.92	0	1.41	1.82	0.68	0	0	0.55	0	0	0	0	0	0	0	0	1.89	0.28	0	0	0.17	0	0.23	0.38	0	1.05	0.81	0.30
+api-miR-3017b	3.00	api-mir-3017b-1	3.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.00	0	2.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.55	0	0.33	0	0	0	0	0	0	0
+api-miR-3017b	3.00	api-mir-3017b-2	3.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.00	0	2.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.55	0	0.33	0	0	0	0	0	0	0
+api-miR-3017b	3.00	api-mir-3017b-3	3.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.00	0	2.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.55	0	0.33	0	0	0	0	0	0	0
+api-miR-3018	662.00	api-mir-3018	662.00	25.00	14.00	24.00	23.00	18.00	24.00	26.00	29.00	32.00	19.00	2.00	9.00	17.00	48.00	22.00	26.00	1.00	16.00	10.00	12.00	43.00	40.00	27.00	34.00	47.00	13.00	29.00	32.00	11.55	35.99	16.88	13.95	12.32	25.32	16.65	16.05	6.91	3.70	2.78	3.84	6.20	11.66	7.44	7.40	1.89	4.54	5.52	6.54	7.11	11.29	6.21	12.98	13.37	13.60	11.76	9.48
+api-miR-3019	1.00	api-mir-3019	1.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.41	0
+api-miR-3020	80.00	api-mir-3020	80.00	1.00	0	4.00	4.00	2.00	1.00	3.00	5.00	2.00	8.00	1.00	0	1.00	2.00	0	4.00	0	6.00	2.00	2.00	1.00	5.00	7.00	7.00	0	1.00	5.00	6.00	0.46	0	2.81	2.43	1.37	1.06	1.92	2.77	0.43	1.56	1.39	0	0.36	0.49	0	1.14	0	1.70	1.10	1.09	0.17	1.41	1.61	2.67	0	1.05	2.03	1.78
+api-miR-3021	3.00	api-mir-3021-1	3.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2.00	1.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.28	0	0	0	0	0	0
+api-miR-3021	3.00	api-mir-3021-2	3.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2.00	1.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.28	0	0	0	0	0	0
+api-miR-3021	3.00	api-mir-3021-3	3.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2.00	1.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.33	0.28	0	0	0	0	0	0
+api-miR-3022	29.00	api-mir-3022	29.00	1.00	0	1.00	1.00	0	3.00	2.00	1.00	1.00	0	1.00	1.00	0	2.00	2.00	1.00	0	2.00	1.00	0	1.00	2.00	0	1.00	1.00	0	1.00	3.00	0.46	0	0.70	0.61	0	3.17	1.28	0.55	0.22	0	1.39	0.43	0	0.49	0.68	0.28	0	0.57	0.55	0	0.17	0.56	0	0.38	0.28	0	0.41	0.89
+api-miR-3023	42.00	api-mir-3023	42.00	0	0	0	3.00	0	1.00	5.00	0	0	2.00	0	0	0	3.00	2.00	0	0	3.00	4.00	4.00	1.00	0	2.00	4.00	0	1.00	3.00	4.00	0	0	0	1.82	0	1.06	3.20	0	0	0.39	0	0	0	0.73	0.68	0	0	0.85	2.21	2.18	0.17	0	0.46	1.53	0	1.05	1.22	1.18
+api-miR-3024	771.00	api-mir-3024	771.00	9.00	1.00	2.00	7.00	2.00	3.00	8.00	9.00	73.00	224.00	18.00	49.00	33.00	25.00	39.00	35.00	4.00	69.00	28.00	38.00	9.00	9.00	15.00	13.00	16.00	6.00	8.00	19.00	4.16	2.57	1.41	4.24	1.37	3.17	5.12	4.98	15.77	43.67	25.06	20.92	12.04	6.07	13.19	9.97	7.56	19.56	15.47	20.70	1.49	2.54	3.45	4.96	4.55	6.28	3.25	5.63
+api-miR-3025	246.00	api-mir-3025	246.00	4.00	5.00	7.00	5.00	7.00	6.00	8.00	5.00	3.00	18.00	10.00	2.00	4.00	16.00	11.00	13.00	0	19.00	9.00	4.00	12.00	4.00	11.00	10.00	17.00	6.00	13.00	17.00	1.85	12.85	4.92	3.03	4.79	6.33	5.12	2.77	0.65	3.51	13.92	0.85	1.46	3.89	3.72	3.70	0	5.39	4.97	2.18	1.98	1.13	2.53	3.82	4.84	6.28	5.27	5.04
+api-miR-3026	343.00	api-mir-3026	343.00	12.00	2.00	8.00	14.00	4.00	5.00	11.00	15.00	13.00	10.00	6.00	5.00	12.00	20.00	16.00	25.00	2.00	17.00	8.00	7.00	17.00	11.00	31.00	13.00	12.00	7.00	19.00	21.00	5.54	5.14	5.63	8.49	2.74	5.28	7.04	8.30	2.81	1.95	8.35	2.13	4.38	4.86	5.41	7.12	3.78	4.82	4.42	3.81	2.81	3.11	7.13	4.96	3.41	7.33	7.71	6.22
+api-miR-3027	10508.00	api-mir-3027	10508.00	184.00	90.00	326.00	306.00	175.00	238.00	305.00	346.00	926.00	575.00	179.00	459.00	205.00	690.00	498.00	503.00	92.00	469.00	360.00	316.00	460.00	458.00	453.00	417.00	488.00	169.00	376.00	445.00	85.00	231.35	229.35	185.54	119.76	251.09	195.28	191.47	200.01	112.11	249.16	195.93	74.82	167.66	168.36	143.21	173.79	132.96	198.86	172.10	76.07	129.30	104.18	159.19	138.86	176.86	152.53	131.81
+api-miR-3028	0.00	api-mir-3028	0.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+api-miR-3029	7.00	api-mir-3029	7.00	0	0	0	2.00	1.00	0	2.00	0	0	0	0	0	0	0	0	0	0	1.00	0	0	0	0	0	0	0	0	1.00	0	0	0	0	1.21	0.68	0	1.28	0	0	0	0	0	0	0	0	0	0	0.28	0	0	0	0	0	0	0	0	0.41	0
+api-miR-3030	89.00	api-mir-3030	89.00	1.00	2.00	1.00	5.00	1.00	0	1.00	1.00	6.00	8.00	3.00	5.00	3.00	3.00	6.00	0	2.00	3.00	4.00	5.00	2.00	3.00	7.00	5.00	3.00	1.00	6.00	2.00	0.46	5.14	0.70	3.03	0.68	0	0.64	0.55	1.30	1.56	4.18	2.13	1.09	0.73	2.03	0	3.78	0.85	2.21	2.72	0.33	0.85	1.61	1.91	0.85	1.05	2.43	0.59
+api-miR-3031	4846.00	api-mir-3031	4846.00	96.00	75.00	149.00	133.00	95.00	149.00	193.00	202.00	326.00	203.00	81.00	218.00	52.00	281.00	260.00	227.00	51.00	198.00	186.00	175.00	229.00	203.00	194.00	207.00	155.00	123.00	166.00	219.00	44.35	192.79	104.83	80.64	65.02	157.20	123.57	111.78	70.41	39.58	112.75	93.06	18.98	68.28	87.90	64.63	96.34	56.13	102.75	95.31	37.87	57.31	44.61	79.02	44.11	128.72	67.34	64.87
+api-miR-3032	1060.00	api-mir-3032	1060.00	19.00	0	9.00	12.00	5.00	17.00	16.00	27.00	50.00	236.00	39.00	71.00	18.00	24.00	52.00	50.00	4.00	69.00	57.00	40.00	29.00	17.00	33.00	38.00	22.00	18.00	48.00	40.00	8.78	0	6.33	7.28	3.42	17.94	10.24	14.94	10.80	46.01	54.29	30.31	6.57	5.83	17.58	14.24	7.56	19.56	31.49	21.78	4.80	4.80	7.59	14.51	6.26	18.84	19.47	11.85
+api-miR-3033	11542.00	api-mir-3033	11542.00	259.00	72.00	258.00	350.00	155.00	247.00	333.00	377.00	435.00	919.00	157.00	412.00	355.00	557.00	520.00	840.00	38.00	669.00	379.00	429.00	605.00	352.00	591.00	571.00	344.00	165.00	486.00	667.00	119.65	185.08	181.51	212.22	106.08	260.59	213.21	208.63	93.96	179.18	218.54	175.87	129.57	135.35	175.80	239.16	71.78	189.66	209.36	233.64	100.04	99.37	135.91	217.98	97.89	172.68	197.15	197.57
+api-miR-3034	89.00	api-mir-3034	89.00	7.00	1.00	2.00	3.00	1.00	1.00	4.00	2.00	1.00	7.00	1.00	4.00	4.00	4.00	1.00	6.00	0	1.00	6.00	3.00	7.00	4.00	2.00	5.00	2.00	6.00	2.00	2.00	3.23	2.57	1.41	1.82	0.68	1.06	2.56	1.11	0.22	1.36	1.39	1.71	1.46	0.97	0.34	1.71	0	0.28	3.31	1.63	1.16	1.13	0.46	1.91	0.57	6.28	0.81	0.59
+api-miR-3035	89.00	api-mir-3035-1	89.00	2.00	0	4.00	3.00	0	2.00	0	3.00	4.00	11.00	2.00	4.00	0	4.00	5.00	4.00	0	10.00	9.00	0	3.00	0	2.00	1.00	3.00	4.00	4.00	5.00	0.92	0	2.81	1.82	0	2.11	0	1.66	0.86	2.14	2.78	1.71	0	0.97	1.69	1.14	0	2.83	4.97	0	0.50	0	0.46	0.38	0.85	4.19	1.62	1.48
+api-miR-3035	89.00	api-mir-3035-2	89.00	2.00	0	4.00	3.00	0	2.00	0	3.00	4.00	11.00	2.00	4.00	0	4.00	5.00	4.00	0	10.00	9.00	0	3.00	0	2.00	1.00	3.00	4.00	4.00	5.00	0.92	0	2.81	1.82	0	2.11	0	1.66	0.86	2.14	2.78	1.71	0	0.97	1.69	1.14	0	2.83	4.97	0	0.50	0	0.46	0.38	0.85	4.19	1.62	1.48
+api-miR-3036	10453.00	api-mir-3036-1	10453.00	203.00	86.00	274.00	200.00	154.00	248.00	305.00	299.00	808.00	949.00	120.00	423.00	146.00	639.00	416.00	531.00	88.00	494.00	416.00	357.00	527.00	422.00	508.00	363.00	436.00	163.00	357.00	521.00	93.78	221.06	192.77	121.27	105.39	261.65	195.28	165.46	174.52	185.03	167.04	180.56	53.29	155.27	140.64	151.19	166.23	140.05	229.80	194.43	87.15	119.14	116.83	138.58	124.06	170.58	144.82	154.32
+api-miR-3036	10453.00	api-mir-3036-2	10453.00	203.00	86.00	274.00	200.00	154.00	248.00	305.00	299.00	808.00	949.00	120.00	423.00	146.00	639.00	416.00	531.00	88.00	494.00	416.00	357.00	527.00	422.00	508.00	363.00	436.00	163.00	357.00	521.00	93.78	221.06	192.77	121.27	105.39	261.65	195.28	165.46	174.52	185.03	167.04	180.56	53.29	155.27	140.64	151.19	166.23	140.05	229.80	194.43	87.15	119.14	116.83	138.58	124.06	170.58	144.82	154.32
+api-miR-3036	10452.00	api-mir-3036-3	10452.00	203.00	86.00	274.00	200.00	154.00	248.00	305.00	299.00	808.00	949.00	120.00	423.00	146.00	639.00	416.00	532.00	88.00	494.00	415.00	357.00	526.00	422.00	508.00	363.00	436.00	163.00	357.00	521.00	93.78	221.06	192.77	121.27	105.39	261.65	195.28	165.46	174.52	185.03	167.04	180.56	53.29	155.27	140.64	151.47	166.23	140.05	229.25	194.43	86.98	119.14	116.83	138.58	124.06	170.58	144.82	154.32
+api-miR-3036	10452.00	api-mir-3036-4	10452.00	203.00	86.00	274.00	200.00	154.00	248.00	305.00	299.00	808.00	949.00	120.00	423.00	146.00	639.00	416.00	532.00	88.00	494.00	415.00	357.00	526.00	422.00	508.00	363.00	436.00	163.00	357.00	521.00	93.78	221.06	192.77	121.27	105.39	261.65	195.28	165.46	174.52	185.03	167.04	180.56	53.29	155.27	140.64	151.47	166.23	140.05	229.25	194.43	86.98	119.14	116.83	138.58	124.06	170.58	144.82	154.32
+api-miR-3036	10452.00	api-mir-3036-5	10452.00	203.00	86.00	274.00	200.00	154.00	248.00	305.00	299.00	808.00	949.00	120.00	423.00	146.00	639.00	416.00	532.00	88.00	494.00	415.00	357.00	526.00	422.00	508.00	363.00	436.00	163.00	357.00	521.00	93.78	221.06	192.77	121.27	105.39	261.65	195.28	165.46	174.52	185.03	167.04	180.56	53.29	155.27	140.64	151.47	166.23	140.05	229.25	194.43	86.98	119.14	116.83	138.58	124.06	170.58	144.82	154.32
+api-miR-3037	247.00	api-mir-3037	247.00	7.00	0	13.00	8.00	1.00	8.00	9.00	11.00	7.00	15.00	3.00	12.00	4.00	12.00	6.00	19.00	1.00	14.00	5.00	7.00	11.00	11.00	17.00	15.00	8.00	1.00	10.00	12.00	3.23	0	9.15	4.85	0.68	8.44	5.76	6.09	1.51	2.92	4.18	5.12	1.46	2.92	2.03	5.41	1.89	3.97	2.76	3.81	1.82	3.11	3.91	5.73	2.28	1.05	4.06	3.55
+api-miR-3038	24.00	api-mir-3038	24.00	1.00	0	5.00	3.00	0	0	2.00	1.00	3.00	1.00	0	0	0	0	0	0	1.00	0	0	0	1.00	1.00	4.00	0	0	0	1.00	0	0.46	0	3.52	1.82	0	0	1.28	0.55	0.65	0.19	0	0	0	0	0	0	1.89	0	0	0	0.17	0.28	0.92	0	0	0	0.41	0
+api-miR-3039	6.00	api-mir-3039	6.00	0	0	0	1.00	0	1.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.00	1.00	0	0	0	1.00	1.00	0	0	0	0.61	0	1.06	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.28	0.23	0	0	0	0.41	0.30
+api-miR-3040	11701.00	api-mir-3040	11701.00	127.00	27.00	167.00	164.00	45.00	105.00	298.00	143.00	223.00	849.00	134.00	518.00	139.00	753.00	602.00	823.00	30.00	710.00	372.00	402.00	898.00	311.00	1027.00	716.00	354.00	185.00	632.00	947.00	58.67	69.40	117.49	99.44	30.80	110.78	190.80	79.13	48.17	165.53	186.53	221.11	50.73	182.97	203.53	234.32	56.67	201.28	205.49	218.94	148.50	87.80	236.18	273.33	100.73	193.61	256.38	280.51
+api-miR-3041	2397.00	api-mir-3041	2397.00	98.00	22.00	79.00	82.00	46.00	36.00	87.00	60.00	127.00	163.00	21.00	56.00	66.00	105.00	79.00	115.00	7.00	144.00	76.00	93.00	216.00	98.00	109.00	106.00	115.00	21.00	69.00	101.00	45.27	56.55	55.58	49.72	31.48	37.98	55.70	33.20	27.43	31.78	29.23	23.90	24.09	25.51	26.71	32.74	13.22	40.82	41.98	50.65	35.72	27.67	25.07	40.47	32.72	21.98	27.99	29.92
+api-miR-3042	376.00	api-mir-3042	376.00	3.00	1.00	8.00	10.00	5.00	13.00	13.00	14.00	7.00	33.00	12.00	20.00	10.00	17.00	19.00	28.00	2.00	20.00	12.00	17.00	18.00	10.00	17.00	19.00	7.00	8.00	10.00	23.00	1.39	2.57	5.63	6.06	3.42	13.72	8.32	7.75	1.51	6.43	16.70	8.54	3.65	4.13	6.42	7.97	3.78	5.67	6.63	9.26	2.98	2.82	3.91	7.25	1.99	8.37	4.06	6.81
+api-miR-3043	1368.00	api-mir-3043-1	1368.00	26.00	5.00	36.00	30.00	21.00	33.00	39.00	42.00	67.00	100.00	15.00	59.00	37.00	88.00	64.00	73.00	6.00	97.00	40.00	34.00	67.00	43.00	80.00	50.00	58.00	18.00	71.00	69.00	12.01	12.85	25.33	18.19	14.37	34.82	24.97	23.24	14.47	19.50	20.88	25.18	13.50	21.38	21.64	20.78	11.33	27.50	22.10	18.52	11.08	12.14	18.40	19.09	16.50	18.84	28.80	20.44
+api-miR-3043	1368.00	api-mir-3043-2	1368.00	26.00	5.00	36.00	30.00	21.00	33.00	39.00	42.00	67.00	100.00	15.00	59.00	37.00	88.00	64.00	73.00	6.00	97.00	40.00	34.00	67.00	43.00	80.00	50.00	58.00	18.00	71.00	69.00	12.01	12.85	25.33	18.19	14.37	34.82	24.97	23.24	14.47	19.50	20.88	25.18	13.50	21.38	21.64	20.78	11.33	27.50	22.10	18.52	11.08	12.14	18.40	19.09	16.50	18.84	28.80	20.44
+api-miR-3043	1368.00	api-mir-3043-3	1368.00	26.00	5.00	36.00	30.00	21.00	33.00	39.00	42.00	67.00	100.00	15.00	59.00	37.00	88.00	64.00	73.00	6.00	97.00	40.00	34.00	67.00	43.00	80.00	50.00	58.00	18.00	71.00	69.00	12.01	12.85	25.33	18.19	14.37	34.82	24.97	23.24	14.47	19.50	20.88	25.18	13.50	21.38	21.64	20.78	11.33	27.50	22.10	18.52	11.08	12.14	18.40	19.09	16.50	18.84	28.80	20.44
+api-miR-3044	133.00	api-mir-3044	133.00	2.00	7.00	4.00	6.00	1.00	0	5.00	5.00	2.00	14.00	0	2.00	2.00	3.00	3.00	7.00	2.00	5.00	5.00	4.00	11.00	9.00	10.00	5.00	6.00	1.00	3.00	9.00	0.92	17.99	2.81	3.64	0.68	0	3.20	2.77	0.43	2.73	0	0.85	0.73	0.73	1.01	1.99	3.78	1.42	2.76	2.18	1.82	2.54	2.30	1.91	1.71	1.05	1.22	2.67
+api-miR-3045a	149.00	api-mir-3045a	149.00	10.00	2.00	6.00	4.00	0	5.00	7.00	5.00	10.00	13.00	10.00	12.00	5.00	3.00	5.00	4.00	0	8.00	4.00	4.00	3.00	1.00	5.00	4.00	4.00	4.00	4.00	7.00	4.62	5.14	4.22	2.43	0	5.28	4.48	2.77	2.16	2.53	13.92	5.12	1.82	0.73	1.69	1.14	0	2.27	2.21	2.18	0.50	0.28	1.15	1.53	1.14	4.19	1.62	2.07
+api-miR-3045b	37.00	api-mir-3045b	37.00	0	1.00	2.00	2.00	0	1.00	0	1.00	2.00	1.00	0	1.00	2.00	1.00	2.00	4.00	0	4.00	1.00	0	6.00	1.00	1.00	2.00	1.00	0	0	1.00	0	2.57	1.41	1.21	0	1.06	0	0.55	0.43	0.19	0	0.43	0.73	0.24	0.68	1.14	0	1.13	0.55	0	0.99	0.28	0.23	0.76	0.28	0	0	0.30
+api-miR-3046	2.00	api-mir-3046	2.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1.00	0	0	0	0	0	1.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.34	0	0	0	0	0	0.17	0	0	0	0	0	0	0
+api-miR-3047	5159.00	api-mir-3047-1	5159.00	42.00	42.00	97.00	154.00	76.00	137.00	121.00	93.00	999.00	274.00	58.00	203.00	124.00	326.00	233.00	245.00	72.00	152.00	173.00	134.00	139.00	365.00	114.00	195.00	250.00	110.00	103.00	128.00	19.40	107.96	68.24	93.38	52.01	144.54	77.47	51.47	215.77	53.42	80.73	86.65	45.26	79.22	78.77	69.76	136.01	43.09	95.57	72.98	22.99	103.04	26.22	74.44	71.14	115.12	41.78	37.91
+api-miR-3047	5159.00	api-mir-3047-2	5159.00	42.00	42.00	97.00	154.00	76.00	137.00	121.00	93.00	999.00	274.00	58.00	203.00	124.00	326.00	233.00	245.00	72.00	152.00	173.00	134.00	139.00	365.00	114.00	195.00	250.00	110.00	103.00	128.00	19.40	107.96	68.24	93.38	52.01	144.54	77.47	51.47	215.77	53.42	80.73	86.65	45.26	79.22	78.77	69.76	136.01	43.09	95.57	72.98	22.99	103.04	26.22	74.44	71.14	115.12	41.78	37.91
+api-miR-3048	10.00	api-mir-3048	10.00	0	0	0	0	0	0	1.00	0	2.00	0	0	0	1.00	1.00	0	0	0	0	2.00	0	0	0	3.00	0	0	0	0	0	0	0	0	0	0	0	0.64	0	0.43	0	0	0	0.36	0.24	0	0	0	0	1.10	0	0	0	0.69	0	0	0	0	0
+api-miR-3049	2108.00	api-mir-3049	2108.00	69.00	11.00	66.00	70.00	40.00	74.00	79.00	86.00	47.00	36.00	14.00	33.00	55.00	153.00	118.00	107.00	12.00	107.00	45.00	34.00	203.00	99.00	150.00	92.00	85.00	22.00	105.00	96.00	31.87	28.28	46.43	42.44	27.37	78.07	50.58	47.59	10.15	7.02	19.49	14.09	20.07	37.18	39.89	30.46	22.67	30.33	24.86	18.52	33.57	27.95	34.50	35.12	24.19	23.02	42.59	28.44
+api-miR-3050	25032940.00	api-mir-3050	25032940.00	636722.00	146376.00	531340.00	663167.00	465155.00	319292.00	557100.00	702812.00	1486286.00	1900222.00	344706.00	1024831.00	815663.00	1572431.00	1338028.00	1315147.00	199299.00	1102350.00	723085.00	708963.00	1718616.00	1012941.00	1324499.00	999791.00	990853.00	361180.00	825767.00	1246318.00	294134.74	376262.77	373811.92	402104.85	318338.32	336859.56	356691.70	388927.60	321020.90	370485.29	479824.61	437459.82	297708.30	382088.97	452363.38	374446.79	376471.28	312512.58	399433.57	386111.57	284194.79	285967.84	304599.82	381672.89	281948.65	377982.06	334978.00	369168.60
+api-miR-3051	334.00	api-mir-3051-1	334.00	6.00	0	7.00	17.00	9.00	5.00	14.00	8.00	26.00	18.00	2.00	17.00	6.00	25.00	3.00	22.00	3.00	10.00	15.00	15.00	9.00	11.00	24.00	15.00	14.00	4.00	5.00	24.00	2.77	0	4.92	10.31	6.16	5.28	8.96	4.43	5.62	3.51	2.78	7.26	2.19	6.07	1.01	6.26	5.67	2.83	8.29	8.17	1.49	3.11	5.52	5.73	3.98	4.19	2.03	7.11
+api-miR-3051	334.00	api-mir-3051-2	334.00	6.00	0	7.00	17.00	9.00	5.00	14.00	8.00	26.00	18.00	2.00	17.00	6.00	25.00	3.00	22.00	3.00	10.00	15.00	15.00	9.00	11.00	24.00	15.00	14.00	4.00	5.00	24.00	2.77	0	4.92	10.31	6.16	5.28	8.96	4.43	5.62	3.51	2.78	7.26	2.19	6.07	1.01	6.26	5.67	2.83	8.29	8.17	1.49	3.11	5.52	5.73	3.98	4.19	2.03	7.11
+api-miR-3052	4.00	api-mir-3052	4.00	0	0	0	0	0	0	0	0	0	1.00	0	0	0	0	0	0	0	0	1.00	0	0	1.00	0	0	0	1.00	0	0	0	0	0	0	0	0	0	0	0	0.19	0	0	0	0	0	0	0	0	0.55	0	0	0.28	0	0	0	1.05	0	0
+api-miR-3053	4.00	api-mir-3053	4.00	0	0	0	0	0	0	0	0	0	2.00	0	0	0	1.00	0	0	0	0	0	1.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0.39	0	0	0	0.24	0	0	0	0	0	0.54	0	0	0	0	0	0	0	0
+api-miR-3054	10.00	api-mir-3054	10.00	0	0	0	1.00	0	0	0	0	0	2.00	0	1.00	0	0	0	0	0	0	0	0	3.00	1.00	1.00	0	0	1.00	0	0	0	0	0	0.61	0	0	0	0	0	0.39	0	0.43	0	0	0	0	0	0	0	0	0.50	0.28	0.23	0	0	1.05	0	0
+api-miR-3055	883.00	api-mir-3055-1	883.00	3.00	1.00	10.00	22.00	9.00	14.00	67.00	21.00	11.00	144.00	36.00	41.00	5.00	15.00	43.00	23.00	2.00	39.00	88.00	63.00	5.00	12.00	28.00	33.00	6.00	6.00	61.00	75.00	1.39	2.57	7.04	13.34	6.16	14.77	42.90	11.62	2.38	28.08	50.11	17.50	1.82	3.64	14.54	6.55	3.78	11.06	48.61	34.31	0.83	3.39	6.44	12.60	1.71	6.28	24.75	22.22
+api-miR-3055	883.00	api-mir-3055-2	883.00	3.00	1.00	10.00	22.00	9.00	14.00	67.00	21.00	11.00	144.00	36.00	41.00	5.00	15.00	43.00	23.00	2.00	39.00	88.00	63.00	5.00	12.00	28.00	33.00	6.00	6.00	61.00	75.00	1.39	2.57	7.04	13.34	6.16	14.77	42.90	11.62	2.38	28.08	50.11	17.50	1.82	3.64	14.54	6.55	3.78	11.06	48.61	34.31	0.83	3.39	6.44	12.60	1.71	6.28	24.75	22.22
+api-miR-3055	883.00	api-mir-3055-3	883.00	3.00	1.00	10.00	22.00	9.00	14.00	67.00	21.00	11.00	144.00	36.00	41.00	5.00	15.00	43.00	23.00	2.00	39.00	88.00	63.00	5.00	12.00	28.00	33.00	6.00	6.00	61.00	75.00	1.39	2.57	7.04	13.34	6.16	14.77	42.90	11.62	2.38	28.08	50.11	17.50	1.82	3.64	14.54	6.55	3.78	11.06	48.61	34.31	0.83	3.39	6.44	12.60	1.71	6.28	24.75	22.22
+api-miR-3055	883.00	api-mir-3055-4	883.00	3.00	1.00	10.00	22.00	9.00	14.00	67.00	21.00	11.00	144.00	36.00	41.00	5.00	15.00	43.00	23.00	2.00	39.00	88.00	63.00	5.00	12.00	28.00	33.00	6.00	6.00	61.00	75.00	1.39	2.57	7.04	13.34	6.16	14.77	42.90	11.62	2.38	28.08	50.11	17.50	1.82	3.64	14.54	6.55	3.78	11.06	48.61	34.31	0.83	3.39	6.44	12.60	1.71	6.28	24.75	22.22
+api-miR-3055	883.00	api-mir-3055-5	883.00	3.00	1.00	10.00	22.00	9.00	14.00	67.00	21.00	11.00	144.00	36.00	41.00	5.00	15.00	43.00	23.00	2.00	39.00	88.00	63.00	5.00	12.00	28.00	33.00	6.00	6.00	61.00	75.00	1.39	2.57	7.04	13.34	6.16	14.77	42.90	11.62	2.38	28.08	50.11	17.50	1.82	3.64	14.54	6.55	3.78	11.06	48.61	34.31	0.83	3.39	6.44	12.60	1.71	6.28	24.75	22.22
+api-miR-3056	1.00	api-mir-3056	1.00	0	1.00	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2.57	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
+api-miR-306	41667.00	api-mir-306	41667.00	843.00	239.00	862.00	1071.00	543.00	733.00	1141.00	1158.00	1847.00	3255.00	799.00	2051.00	846.00	2379.00	2378.00	2755.00	276.00	2403.00	1529.00	1640.00	2132.00	1386.00	1958.00	1780.00	1204.00	632.00	1630.00	2197.00	389.43	614.35	606.44	649.39	371.61	773.33	730.54	640.82	398.93	634.63	1112.19	875.49	308.78	578.08	803.96	784.40	521.36	681.24	844.62	893.17	352.55	391.29	450.29	679.52	342.60	661.40	661.22	650.77
+api-miR-307	121.00	api-mir-307	121.00	3.00	1.00	2.00	6.00	2.00	1.00	2.00	4.00	2.00	7.00	3.00	6.00	2.00	7.00	8.00	8.00	0	7.00	5.00	8.00	9.00	4.00	4.00	7.00	3.00	0	3.00	7.00	1.39	2.57	1.41	3.64	1.37	1.06	1.28	2.21	0.43	1.36	4.18	2.56	0.73	1.70	2.70	2.28	0	1.98	2.76	4.36	1.49	1.13	0.92	2.67	0.85	0	1.22	2.07
+api-miR-315	501395.00	api-mir-315	501395.00	11022.00	3628.00	8034.00	11038.00	6763.00	9743.00	10688.00	12813.00	31703.00	52801.00	8753.00	31006.00	11052.00	32247.00	26370.00	27961.00	3150.00	28980.00	15684.00	15492.00	22859.00	16242.00	23368.00	16968.00	17044.00	7146.00	16855.00	21985.00	5091.63	9325.85	5652.13	6692.78	4628.40	10279.06	6843.15	7090.56	6847.49	10294.58	12184.02	13235.24	4033.86	7835.78	8915.23	7961.02	5950.28	8215.73	8663.87	8437.17	3780.02	4585.35	5374.02	6477.58	4849.89	7478.43	6837.35	6512.12
+api-miR-316	1362.00	api-mir-316	1362.00	64.00	17.00	75.00	121.00	60.00	81.00	65.00	124.00	29.00	20.00	8.00	19.00	9.00	52.00	36.00	50.00	2.00	43.00	17.00	7.00	70.00	45.00	67.00	51.00	38.00	33.00	43.00	116.00	29.56	43.70	52.76	73.37	41.06	85.46	41.62	68.62	6.26	3.90	11.14	8.11	3.28	12.64	12.17	14.24	3.78	12.19	9.39	3.81	11.58	12.70	15.41	19.47	10.81	34.54	17.44	34.36
+api-miR-317	1197.00	api-mir-317	1197.00	31.00	21.00	46.00	59.00	26.00	42.00	52.00	53.00	77.00	41.00	17.00	26.00	25.00	61.00	52.00	54.00	10.00	48.00	46.00	34.00	54.00	47.00	46.00	61.00	53.00	23.00	42.00	50.00	14.32	53.98	32.36	35.77	17.79	44.31	33.29	29.33	16.63	7.99	23.66	11.10	9.12	14.82	17.58	15.37	18.89	13.61	25.41	18.52	8.93	13.27	10.58	23.29	15.08	24.07	17.04	14.81
+api-miR-34	1052.00	api-mir-34	1052.00	39.00	18.00	42.00	50.00	30.00	39.00	40.00	60.00	47.00	50.00	15.00	36.00	17.00	52.00	41.00	49.00	6.00	34.00	37.00	22.00	60.00	38.00	36.00	44.00	47.00	15.00	39.00	49.00	18.02	46.27	29.55	30.32	20.53	41.15	25.61	33.20	10.15	9.75	20.88	15.37	6.20	12.64	13.86	13.95	11.33	9.64	20.44	11.98	9.92	10.73	8.28	16.80	13.37	15.70	15.82	14.51
+api-miR-7	4837.00	api-mir-7	4837.00	132.00	38.00	119.00	123.00	126.00	108.00	141.00	119.00	395.00	303.00	56.00	144.00	120.00	319.00	176.00	207.00	58.00	225.00	160.00	124.00	232.00	300.00	257.00	184.00	208.00	72.00	252.00	139.00	60.98	97.68	83.72	74.58	86.23	113.94	90.28	65.85	85.32	59.08	77.95	61.47	43.80	77.51	59.50	58.94	109.56	63.79	88.38	67.53	38.36	84.69	59.10	70.24	59.19	75.35	102.23	41.17
+api-miR-71	2584.00	api-mir-71	2584.00	120.00	18.00	66.00	73.00	69.00	63.00	85.00	77.00	169.00	185.00	29.00	113.00	63.00	136.00	137.00	180.00	11.00	139.00	100.00	88.00	113.00	81.00	135.00	65.00	72.00	34.00	100.00	63.00	55.43	46.27	46.43	44.26	47.22	66.47	54.42	42.61	36.50	36.07	40.37	48.24	22.99	33.05	46.32	51.25	20.78	39.41	55.24	47.93	18.69	22.87	31.05	24.81	20.49	35.58	40.57	18.66
+api-miR-8	195606.00	api-mir-8	195606.00	5484.00	2240.00	6195.00	8909.00	4374.00	5797.00	6705.00	9570.00	6323.00	10458.00	2424.00	5294.00	4196.00	9789.00	7403.00	10239.00	1388.00	9495.00	5937.00	6040.00	11218.00	6611.00	10312.00	10051.00	6454.00	3465.00	7824.00	11411.00	2533.34	5757.97	4358.35	5401.89	2993.44	6115.95	4292.98	5295.92	1365.70	2038.99	3374.16	2259.80	1531.50	2378.65	2502.82	2915.23	2621.90	2691.80	3279.61	3289.47	1855.04	1866.38	2371.49	3837.00	1836.50	3626.19	3173.86	3380.02
+api-miR-87a	8756.00	api-mir-87a	8756.00	283.00	84.00	335.00	397.00	228.00	282.00	324.00	437.00	265.00	270.00	94.00	164.00	196.00	518.00	463.00	489.00	57.00	295.00	253.00	248.00	485.00	423.00	461.00	387.00	399.00	149.00	351.00	419.00	130.73	215.92	235.68	240.72	156.04	297.52	207.45	241.83	57.24	52.64	130.85	70.01	71.54	125.87	156.53	139.23	107.67	83.63	139.76	135.06	80.20	119.42	106.02	147.74	113.54	155.93	142.39	124.11
+api-miR-87b	5061.00	api-mir-87b	5061.00	215.00	60.00	188.00	219.00	150.00	180.00	191.00	204.00	207.00	115.00	39.00	79.00	109.00	261.00	201.00	246.00	31.00	183.00	146.00	133.00	304.00	283.00	289.00	213.00	264.00	82.00	205.00	264.00	99.32	154.23	132.26	132.79	102.66	189.90	122.29	112.89	44.71	22.42	54.29	33.72	39.78	63.42	67.95	70.04	58.56	51.88	80.65	72.43	50.27	79.89	66.46	81.31	75.12	85.81	83.16	78.20
+api-miR-927	32919.00	api-mir-927	32919.00	1709.00	224.00	1060.00	1036.00	940.00	834.00	1357.00	1268.00	802.00	500.00	131.00	446.00	1006.00	1341.00	1187.00	1789.00	126.00	1475.00	698.00	769.00	3402.00	1718.00	1973.00	1373.00	2200.00	404.00	1325.00	1826.00	789.48	575.80	745.74	628.17	643.31	879.89	868.84	701.70	173.22	97.48	182.35	190.38	367.18	325.85	401.30	509.36	238.01	418.16	385.58	418.81	562.56	485.02	453.74	524.15	626.01	422.79	537.50	540.87
+api-miR-929	1507.00	api-mir-929	1507.00	57.00	16.00	61.00	85.00	42.00	53.00	76.00	87.00	22.00	16.00	10.00	5.00	15.00	70.00	55.00	90.00	5.00	47.00	37.00	39.00	107.00	61.00	103.00	93.00	46.00	28.00	71.00	110.00	26.33	41.13	42.92	51.54	28.74	55.92	48.66	48.14	4.75	3.12	13.92	2.13	5.47	17.01	18.59	25.62	9.44	13.32	20.44	21.24	17.69	17.22	23.69	35.50	13.09	29.30	28.80	32.58
+api-miR-92a	1584.00	api-mir-92a-1	1584.00	44.00	6.00	20.00	41.00	14.00	10.00	34.00	22.00	183.00	194.00	37.00	93.00	38.00	89.00	80.00	139.00	8.00	72.00	73.00	76.00	32.00	48.00	46.00	42.00	39.00	22.00	38.00	44.00	20.33	15.42	14.07	24.86	9.58	10.55	21.77	12.17	39.53	37.82	51.50	39.70	13.87	21.63	27.05	39.58	15.11	20.41	40.33	41.39	5.29	13.55	10.58	16.03	11.10	23.02	15.41	13.03
+api-miR-92a	1584.00	api-mir-92a-2	1584.00	44.00	6.00	20.00	41.00	14.00	10.00	34.00	22.00	183.00	194.00	37.00	93.00	38.00	89.00	80.00	139.00	8.00	72.00	73.00	76.00	32.00	48.00	46.00	42.00	39.00	22.00	38.00	44.00	20.33	15.42	14.07	24.86	9.58	10.55	21.77	12.17	39.53	37.82	51.50	39.70	13.87	21.63	27.05	39.58	15.11	20.41	40.33	41.39	5.29	13.55	10.58	16.03	11.10	23.02	15.41	13.03
+api-miR-92b	9834.00	api-mir-92b-1	9834.00	169.00	33.00	162.00	222.00	112.00	114.00	178.00	175.00	951.00	1372.00	208.00	618.00	238.00	459.00	472.00	610.00	56.00	571.00	420.00	436.00	360.00	274.00	335.00	311.00	257.00	129.00	224.00	368.00	78.07	84.83	113.97	134.61	76.65	120.27	113.97	96.84	205.41	267.50	289.53	263.80	86.87	111.53	159.57	173.68	105.78	161.88	232.01	237.45	59.53	77.35	77.04	118.73	73.13	135.00	90.87	109.00
+api-miR-92b	9834.00	api-mir-92b-2	9834.00	169.00	33.00	162.00	222.00	112.00	114.00	178.00	175.00	951.00	1372.00	208.00	618.00	238.00	459.00	472.00	610.00	56.00	571.00	420.00	436.00	360.00	274.00	335.00	311.00	257.00	129.00	224.00	368.00	78.07	84.83	113.97	134.61	76.65	120.27	113.97	96.84	205.41	267.50	289.53	263.80	86.87	111.53	159.57	173.68	105.78	161.88	232.01	237.45	59.53	77.35	77.04	118.73	73.13	135.00	90.87	109.00
+api-miR-965	268.00	api-mir-965	268.00	2.00	4.00	10.00	8.00	7.00	12.00	15.00	12.00	19.00	10.00	3.00	15.00	3.00	21.00	13.00	17.00	1.00	11.00	2.00	7.00	16.00	7.00	15.00	10.00	9.00	8.00	5.00	6.00	0.92	10.28	7.04	4.85	4.79	12.66	9.60	6.64	4.10	1.95	4.18	6.40	1.09	5.10	4.40	4.84	1.89	3.12	1.10	3.81	2.65	1.98	3.45	3.82	2.56	8.37	2.03	1.78
+api-miR-971	334.00	api-mir-971	334.00	1.00	13.00	13.00	9.00	12.00	18.00	14.00	10.00	21.00	4.00	1.00	7.00	3.00	20.00	12.00	16.00	9.00	5.00	13.00	7.00	16.00	29.00	10.00	17.00	18.00	11.00	18.00	7.00	0.46	33.42	9.15	5.46	8.21	18.99	8.96	5.53	4.54	0.78	1.39	2.99	1.09	4.86	4.06	4.56	17.00	1.42	7.18	3.81	2.65	8.19	2.30	6.49	5.12	11.51	7.30	2.07
+api-miR-981	517.00	api-mir-981	517.00	30.00	9.00	22.00	32.00	17.00	15.00	23.00	37.00	15.00	6.00	1.00	2.00	14.00	17.00	14.00	22.00	6.00	19.00	6.00	5.00	50.00	21.00	20.00	28.00	30.00	13.00	17.00	26.00	13.86	23.13	15.48	19.40	11.63	15.83	14.73	20.48	3.24	1.17	1.39	0.85	5.11	4.13	4.73	6.26	11.33	5.39	3.31	2.72	8.27	5.93	4.60	10.69	8.54	13.60	6.90	7.70
+api-miR-993	11230.00	api-mir-993	11230.00	267.00	66.00	249.00	276.00	197.00	226.00	285.00	329.00	530.00	604.00	135.00	392.00	290.00	763.00	594.00	766.00	71.00	605.00	372.00	335.00	626.00	513.00	602.00	443.00	400.00	191.00	469.00	634.00	123.34	169.65	175.18	167.35	134.82	238.43	182.48	182.06	114.47	117.76	187.92	167.33	105.85	185.40	200.82	218.09	134.12	171.52	205.49	182.45	103.52	144.83	138.44	169.12	113.82	199.89	190.25	187.80
+api-miR-996	580.00	api-mir-996	580.00	22.00	8.00	27.00	12.00	13.00	7.00	20.00	12.00	9.00	26.00	13.00	30.00	2.00	49.00	47.00	67.00	3.00	21.00	24.00	20.00	18.00	25.00	26.00	18.00	7.00	11.00	25.00	18.00	10.16	20.56	19.00	7.28	8.90	7.39	12.81	6.64	1.94	5.07	18.10	12.81	0.73	11.91	15.89	19.08	5.67	5.95	13.26	10.89	2.98	7.06	5.98	6.87	1.99	11.51	10.14	5.33
+api-miR-998	815739.00	api-mir-998	815739.00	12482.00	3298.00	14188.00	16915.00	8609.00	9846.00	17132.00	17357.00	45277.00	73639.00	15634.00	43134.00	20820.00	46131.00	44572.00	50662.00	4943.00	53632.00	27863.00	30230.00	52123.00	26874.00	41591.00	33179.00	20736.00	10747.00	29075.00	45050.00	5766.08	8477.58	9981.64	10256.25	5891.74	10387.73	10969.02	9605.15	9779.32	14357.36	21762.25	18412.20	7599.08	11209.49	15069.00	14424.41	9337.21	15204.49	15391.58	16463.70	8619.19	7586.92	9564.83	12666.17	5900.46	11246.95	11794.47	13344.14
+api-miR-9a	23047.00	api-mir-9a	23047.00	673.00	229.00	595.00	789.00	385.00	687.00	681.00	898.00	1326.00	1521.00	286.00	811.00	454.00	1209.00	876.00	1278.00	191.00	1181.00	717.00	677.00	1217.00	892.00	1258.00	935.00	894.00	366.00	844.00	1177.00	310.89	588.65	418.60	478.40	263.48	724.80	436.02	496.94	286.40	296.55	398.11	346.18	165.71	293.78	296.16	363.87	360.79	334.81	396.07	368.70	201.25	251.82	289.31	356.94	254.39	383.03	342.37	348.64
+api-miR-9b	10304.00	api-mir-9b	10304.00	225.00	84.00	251.00	290.00	184.00	235.00	296.00	370.00	576.00	642.00	140.00	371.00	281.00	617.00	518.00	557.00	76.00	478.00	335.00	330.00	660.00	350.00	475.00	484.00	351.00	168.00	393.00	567.00	103.94	215.92	176.59	175.84	125.92	247.93	189.52	204.75	124.41	125.17	194.88	158.37	102.56	149.93	175.13	158.59	143.56	135.51	185.05	179.72	109.14	98.81	109.24	184.77	99.88	175.82	159.42	167.95
+api-miR-iab-4	251.00	api-mir-iab-4	251.00	5.00	1.00	10.00	4.00	6.00	1.00	6.00	6.00	11.00	21.00	8.00	18.00	4.00	17.00	11.00	21.00	3.00	15.00	6.00	10.00	10.00	7.00	10.00	11.00	6.00	0	7.00	16.00	2.31	2.57	7.04	2.43	4.11	1.06	3.84	3.32	2.38	4.09	11.14	7.68	1.46	4.13	3.72	5.98	5.67	4.25	3.31	5.45	1.65	1.98	2.30	4.20	1.71	0	2.84	4.74
Binary file test-data/out.pdf has changed