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1 #!/usr/bin/Rscript
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2
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3 ## --------------------
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4 ## prints all arguments as msg
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5 ## --------------------
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6 catMsg <- function( msg=c() ){
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7 cat( MAIN_NAME, paste( msg, collapse="" ), "\n", sep='')
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8 }
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9 ## --------------------
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10 ## return the directory this script exists
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11 ## --------------------
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12 getScriptPath <- function(){
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13 cmd.args <- commandArgs()
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14 m <- regexpr("(?<=^--file=).+", cmd.args, perl=TRUE)
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15 script.dir <- dirname(regmatches(cmd.args, m))
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16 if(length(script.dir) == 0) stop("[ERR] Can't determine script dir: please call the script with Rscript\n")
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17 if(length(script.dir) > 1) stop("[ERR] Can't determine script dir: more than one '--file' argument detected\n")
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18 return(script.dir)
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19 }
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20 ## --------------------
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21 ## Some html helper functions
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22 ## --------------------
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23 htmlTableRow <- function( string_array=c() ){
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24 td_cells <- ''
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25 for ( i in string_array ){
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26 td_cells <- paste( td_cells, '<td>', i, '</td>', sep='' )
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27 }
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28 return( paste( "<tr>", td_cells, "</tr>") )
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29 }
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30 htmlLink <- function( path, desc="LINK" ){
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31 return( paste( '<a href="', path, '">', desc, "</a>", sep='') )
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32 }
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33 ## --------------------
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34 ## constructs a list with bam file info
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35 ## --------------------
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36 makeBamFileList <- function( paths, names ){
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37 tmp <- list()
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38 l1 <- length(paths)
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39 l2 <- length(names)
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40 if ( l1 != l2 ) stop( "Unequal amount of bam-paths (",l1,") and -names (",l2,") in makeBamFileList!!!\n" )
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41 for ( i in 1:length(paths) ){
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42 path <- paths[i]
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43 name <- names[i]
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44 file <- basename(path)
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45
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46 tmp[[ file ]] <- name
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47 tmp[[ 'all_paths' ]] <- c( tmp[[ 'all_paths' ]], path )
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48 tmp[[ 'all_files' ]] <- c( tmp[[ 'all_files' ]], file )
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49 tmp[[ 'all_names' ]] <- c( tmp[[ 'all_names' ]], name )
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50 }
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51 return( tmp )
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52 }
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53
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54 ## --------------------
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55 ## took a function from Matias/MarkVdWuel? for extracting the regions by call
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56 ## --------------------
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57 fuse.regions_test <- function(cgh, onlyCalled=T) {
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58 if (ncol(cgh) > 1) stop('Please specify which sample...')
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59
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60 x <- data.frame(cgh@featureData@data[,1:3], calls(cgh), copynumber(cgh), segmented(cgh), check.names=FALSE, stringsAsFactors=FALSE)
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61 colnames( x ) <- c( "chr", "start", "end", "call", "log2", "segmentval" )
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62
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63 fused.data <- data.frame()
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64 curr.bin <- 1
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65 for (chr in unique(x$chr)) {
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66
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67 chr.data <- x[x$chr == chr,]
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68 prev.bin <- curr.bin
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69 prev.call <- chr.data[1, 'call']
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70 prev.log2 <- chr.data[1, 'log2']
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71 prev.segm <- chr.data[1, 'segmentval']
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72 start <- chr.data[1, 'start']
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73
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74 if ( nrow(chr.data) > 1) {
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75 for ( i in 2:nrow(chr.data) ) {
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76
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77 curr.bin <- curr.bin + 1
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78 curr.call <- chr.data[ i, 'call']
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79 curr.segm <- chr.data[ i, 'segmentval']
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80
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81 if ( curr.segm != prev.segm ) {
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82
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83 fused.data <- rbind( fused.data, data.frame( chr=chr, start=start, end=chr.data[ i-1, 'end'], call=prev.call, segmentval=round(prev.segm, digits=DECIMALS) ) )
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84 if ( prev.call != 0 ){
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85 cat( MAIN_NAME, " ...found called/segmented region (", chr, ':', start, ' call=', prev.call, ' segment=', prev.segm, ")\n", sep="" )
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86 }
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87 prev.call <- curr.call
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88 prev.segm <- curr.segm
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89 prev.bin <- curr.bin
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90 start <- chr.data[ i, 'start']
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91 }
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92 }
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93 fused.data <- rbind( fused.data, data.frame( chr=chr, start=start, end=chr.data[ i-1, 'end'], call=prev.call, segmentval=round(prev.segm, digits=DECIMALS) ) )
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94 }else {
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95 fused.data <- rbind( fused.data, data.frame( chr=chr, start=start, end=chr.data[ i-1, 'end'], call=prev.call, segmentval=round(prev.segm, digits=DECIMALS) ) )
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96 }
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97 }
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98 if ( onlyCalled == T ){
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99 fused.data <- fused.data[ fused.data$call != 0, ]
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100 }
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101 fused.data
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102 }
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103
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104 ## DESC: takes the output of fuse.regions and outputs a txt file per sample
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105 outputRegionsFromList <- function ( regionsList, outputBasename, outputDir="./" ){
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106 if ( missing(regionsList) ) stop( 'Please provide regionsList...' )
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107 if ( missing(outputBasename) ) stop( 'Please provide outputBasename...' )
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108 if ( !is.list(regionsList) ) stop( 'Input not a list...?' )
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109 if ( length(regionsList) < 1 ) stop( 'List seems empty...?' )
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110 if ( file.exists( outputDir ) ) cat( MAIN_NAME, " Using dir ", outputDir, " for output\n", sep="")
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111 else dir.create( outputDir )
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112 outFiles <- list()
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113
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114 ## have to set R output options otherwise scientific method is used at some point
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115 options( "scipen"=100 )
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116
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117 sampleCount <- length( regionsList )
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118 sampleNames <- names( regionsList )
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119 systemUser <- system("whoami",T)
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120 bedgraphColumns <- c( 'chr', 'start', 'end', 'segmentval' )
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121
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122 cat( MAIN_NAME, " Hello ", systemUser, "!!\n", sep="")
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123 cat( MAIN_NAME, " There are ", sampleCount, " samples found in input list...\n", sep="")
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124
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125 for ( sample in sampleNames ){
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126 cat( MAIN_NAME, " Working on sample ", sample, "\n", sep="")
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127 regionCount <- nrow( regionsList[[sample]] )
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128
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129 outSampleBase <- paste( outputBasename, '_', sample, '_QDNAseqRegions', sep='')
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130 outBedFile <- paste( outSampleBase, '.bed', sep="" )
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131 outBedPath <- paste( outputDir, '/', outBedFile, sep="" )
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132 outBedgraphFile <- paste( outSampleBase, '.bedGraph', sep="" )
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133 outBedgraphPath <- paste( outputDir, '/', outBedgraphFile, sep="" )
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134
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135 ## ---------- BED ----------
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136 txt <- "#"
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137 sink( outBedPath )
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138 cat( txt )
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139 sink()
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140 write.table( regionsList[[sample]], outBedPath, quote=F, sep="\t", row.names=F, append=T)
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141
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142 ## ---------- BEDGRAPH ----------
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143 txt <- paste( "track type=bedGraph color=0,100,0 altColor=255,0,0 name=", sample,"_segmReg description=segmented_regions_from_QDNAseq\n", sep="")
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144 sink( outBedgraphPath )
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145 cat( txt )
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146 sink()
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147 write.table( regionsList[[sample]][,bedgraphColumns], outBedgraphPath, quote=F, sep="\t", row.names=F, append=T, col.names=F)
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148 outFiles[[sample]] <- c( outBedFile, outBedgraphFile )
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149 }
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150 outFiles
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151 }
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152
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153 printIgvFile <- function( dat, filename ){
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154
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155 if ( 'calls' %in% assayDataElementNames(dat) ) {
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156 #output <- paste(output, '-called.igv', sep="")
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157 cat('#type=COPY_NUMBER\n#track coords=1\n', file=filename)
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158 df <- data.frame(chromosome=as.character(chromosomes(dat)), start=bpstart(dat), end=bpend(dat), feature=featureNames(dat), calls(dat), check.names=FALSE, stringsAsFactors=FALSE)
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159 }else {
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160 #output <- paste(output, '-normalized.igv', sep="")
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161 cat('#type=COPY_NUMBER\n#track coords=1\n', file=filename)
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162 df <- data.frame(chromosome=as.character(chromosomes(dat)), start=bpstart(dat), end=bpend(dat), feature=featureNames(dat), round(copynumber(dat), digits=2), check.names=FALSE, stringsAsFactors=FALSE)
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163 }
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164
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165 df$chromosome[df$chromosome == '23'] <- 'X'
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166 df$chromosome[df$chromosome == '24'] <- 'Y'
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167 df$chromosome[df$chromosome == '25'] <- 'MT'
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168 #return( df )
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169 write.table( df, file=filename, append=TRUE, quote=FALSE, sep='\t', row.names=FALSE )
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170 }
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171
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172
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173 ## ==================================================
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174 ## Start of analysis
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175 ## ==================================================
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176 TOOL_PATH <- getScriptPath()
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177 MAIN_NAME <- '[INFO] '
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178 CSS_FILE <- paste( TOOL_PATH, '/QDNAseq.css', sep="" )
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179 DECIMALS <- 3
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180 WEB_LINK <- 'http://www.bioconductor.org/packages/release/bioc/html/QDNAseq.html'
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181
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182 catMsg( "Starting QDNAseq wrapper" )
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183 catMsg( "Loading R libraries" )
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184 suppressWarnings( suppressMessages( library( QDNAseq, quietly = TRUE ) ) )
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185 suppressWarnings( suppressMessages( library( CGHcall, quietly = TRUE ) ) )
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25
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186
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187 qdnaseqVersion <- packageDescription( "QDNAseq" )$Version
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188 qdnaseqDate <- packageDescription( "QDNAseq" )$Date
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26
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189 catMsg( paste("QDNAseq info: version(", qdnaseqVersion, ") and date (", qdnaseqDate, ")", sep="") )
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2
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190
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191 ## only one param: the tmp config file
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192 cmdLineArgs <- commandArgs(TRUE)
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193 config <- cmdLineArgs[1]
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194
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195 ## sourcing the config file will load all input params
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196 source( config )
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197
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198 ## if call output requested, set doCall such that we will segment and call
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199 if ( doOutputCallsRds == TRUE ){ doCall <- TRUE }
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200
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201 ## get the comma separated list of chromosomes to exclude
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202 excludeChrs <- unlist( strsplit( excludeChrsString, ",") )
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203
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204 ## ------------------------
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205 ## DEBUG
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206 #catMsg( "PARAM" )
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207 #catMsg( galaxy_path )
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208 #catMsg( repos_path )
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209 #catMsg( instal_path )
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210 ## /DEBUG
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211 ## ------------------------
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212
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213 ## setup bam filelist for easy retrieval later
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214 catMsg( "Setting up input bam list" )
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215 cat( bamsPaths, "\n" )
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216 catMsg( "Namews" )
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217 cat( bamsNames, "\n" )
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218 fileList <- makeBamFileList( bamsPaths, bamsNames )
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219 bamCount <- length( fileList[[ 'all_paths' ]] )
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220
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221 ## help msg still needs work!
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222 if ( length(cmdLineArgs) == 0 || cmdLineArgs[1] == "-h" || cmdLineArgs[1] == "--help"){
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223 cat( paste( MAIN_NAME, "Usage: ", params_help, sep=''), "\n" )
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224 quit( save = 'no', status=0, runLast=F )
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225 }
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226
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227 if ( !file.exists( outputPath) ){
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228 dir.create( outputPath )
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229 }
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230
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231 ## because we circumvent params that galaxy can save, we want to
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232 ## copy source config file to output dir to include it in output zip
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233 file.copy( config, paste(outputPath, 'qdnaseq_config_file.R', sep='/') )
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234
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235 ## ------------------------
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236 ## construct output file-names and -paths
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237 ## ------------------------
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238 htmlOutputName <- 'index.html'
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239 gzipOutputName <- paste( 'QDNAseqResults_', outputName, '.zip', sep='' )
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240 robjReadCoName <- paste( binSize, 'kbp_QDNAseqReadCounts.rds', sep='')
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241 robjCopyNrName <- paste( binSize, 'kbp_QDNAseqCopyNumbers.rds', sep='')
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242 robjCalledName <- paste( binSize, 'kbp_QDNAseqCalledSegments.rds', sep='')
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243 regiOutputName <- paste( binSize, 'kbp_QDNAseqRegions.rds', sep='')
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244 igvCalledName <- paste( binSize, 'kbp_QDNAseq-calls.igv', sep='')
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245 igvCopyNrName <- paste( binSize, 'kbp_QDNAseq-normalized.igv', sep='')
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246
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247 gzipOutputPath <- paste( outputPath, '/', gzipOutputName, sep="")
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248 htmlOutputPath <- paste( outputPath, '/', htmlOutputName, sep="")
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249 robjReadCoPath <- paste( outputPath, '/', robjReadCoName, sep="")
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250 robjCopyNrPath <- paste( outputPath, '/', robjCopyNrName, sep="")
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251 robjCalledPath <- paste( outputPath, '/', robjCalledName, sep="")
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252 robjRegionPath <- paste( outputPath, '/', regiOutputName, sep="")
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253 igv_calledPath <- paste( outputPath, '/', igvCalledName, sep="")
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254 igv_copyNrPath <- paste( outputPath, '/', igvCopyNrName, sep="")
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255
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256
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257 ## ------------------------
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258 ## performing QDNAseq analysis steps
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259 ## ------------------------
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260 if ( debug ){
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261 ## in case of debug just use inbuilt LGG data for speedup
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262 data(LGG150)
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263 readCounts <- LGG150
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264 }else{
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265 if ( nchar(binAnnotations) == 0 ){
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266 binAnnotations <- getBinAnnotations( binSize=binSize, type=experimentType )
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267 }else{
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268 ## if user provided file, check if correct class
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269 if ( class(binAnnotations)[1] != 'AnnotatedDataFrame' ){
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270 stop( "Provided binAnnotations file is not of class 'AnnotatedDataFrame'\n" )
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271 }
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272 binAnnotations <- readRDS( binAnnotations )
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273 }
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274 ## provide bamnames because in galaxy everyting is called "dataset_###"
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275 readCounts <- binReadCounts( binAnnotations, bamfiles=fileList[[ 'all_paths' ]], bamnames=bamsNames )
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276 }
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277
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278 readCountsFiltered <- applyFilters( readCounts, residual=TRUE, blacklist=filterBlacklistedBins, mappability=mappabilityCutoff, chromosomes=excludeChrs )
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279 readCountsFiltered <- estimateCorrection( readCountsFiltered )
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280 copyNumbers <- correctBins( readCountsFiltered )
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281 copyNumbersNormalized <- normalizeBins( copyNumbers )
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282 copyNumbersSmooth <- smoothOutlierBins( copyNumbersNormalized )
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283
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284 ## save objects to output dir
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285 saveRDS( readCounts, robjReadCoPath );
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286 saveRDS( copyNumbersSmooth, robjCopyNrPath );
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287 #printIgvFile( copyNumbersSmooth, igvCopyNrName )
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288 #exportBins(copyNumbersSmooth, file=igvCopyNrName, format="igv")
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289
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290 ## also save objects for galaxy history output if requested
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291 if ( doOutputReadcountsRds ){
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292 saveRDS( readCountsFiltered, readCountsDatasetFile );
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293 }
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294 if ( doOutputCopynumbersRds ){
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295 saveRDS( copyNumbersSmooth, copyNumbersDatasetFile );
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296 }
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297
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298 ## proceed with calling if requested
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299 if ( doCall ){
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300 copyNumbersSegmented <- segmentBins( copyNumbersSmooth, undo.splits=undoSplits, undo.SD=undoSD )
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301 copyNumbersSegmented <- normalizeSegmentedBins( copyNumbersSegmented )
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302 copyNumbersCalled <- callBins( copyNumbersSegmented )
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303 cgh <- makeCgh( copyNumbersCalled )
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304 saveRDS( copyNumbersCalled, robjCalledPath );
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305 if ( doOutputCallsRds ){
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306 saveRDS( copyNumbersCalled, calledSegmentsDatasetFile );
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307 }
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308 #df <- getIGVdf( copyNumbersCalled )
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309 #printIgvFile( copyNumbersCalled, igvCalledName )
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310 #write.table( df, file=igvCalledName, append=TRUE, quote=FALSE, sep='\t', row.names=FALSE )
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311 }
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312
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313 sampleNames <- readCountsFiltered@phenoData@data$name
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314
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315 ## ------------------------
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316 ## create output files
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317 ## ------------------------
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318 plotted_images <- list() # to keep track of images for later linking
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319 regions <- list() # will contain the (called) segments
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320
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321 noise_img_file <- paste( binSize, 'kbp_QDNAseqNoisePlot.png', sep='')
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322 noise_img_file_path <- paste( outputPath, '/', noise_img_file, sep='' )
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323 png( noise_img_file_path, width=480, height=480 );
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324 noisePlot( readCountsFiltered )
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325 dev.off()
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326
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327 for (i in 1:length(sampleNames) ){
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328 #for (sample in sampleNames(copyNumbersSmooth) ){
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329 sample <- sampleNames[i]
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330 usedReads <- readCountsFiltered@phenoData@data$used.reads[i]
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331 catMsg( c("Creating plots for sample: ", sample ) )
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332
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333 type <- 'CopyNumbers'
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334 img_file <- paste( sample, '_', binSize, 'kbp_QDNAseq', type, '.png', sep='')
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335 img_file_path <- paste( outputPath, '/', img_file, sep='' )
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336 png( img_file_path, width=PLOT_WIDTH, height=PLOT_HEIGHT ); plot( copyNumbersSmooth[ ,sample ] ); dev.off()
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337 plotted_images[[ sample ]][[ type ]] <- img_file
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338
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339 if ( doCall ){
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340 type <- 'Called'
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341 img_file <- paste( sample, '_', binSize, 'kbp_QDNAseq', type, '.png', sep='')
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342 img_file_path <- paste( outputPath, '/', img_file, sep='' )
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343 png( img_file_path, width=PLOT_WIDTH, height=PLOT_HEIGHT );
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344 plot( copyNumbersCalled[ ,sample ] );
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345 dev.off()
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346 plotted_images[[ sample ]][[ type ]] <- img_file
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347
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348 cat( MAIN_NAME, " Fusing regions of sample: ", sample, "\n", sep="")
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349 regions[[ sample ]] <- fuse.regions_test( cgh[, sample] )
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350 region_count <- nrow( data.frame( regions[[ sample ]] ) )
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351 cat( MAIN_NAME, ' sample "', sample, '" has ', region_count, " regions\n", sep="" )
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352 plotted_images[[ sample ]][[ 'region_count' ]] <- region_count
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353 }
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354
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355 ## add read counts
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356 catMsg( "Used")
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357 catMsg( usedReads )
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358
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359 plotted_images[[ sample ]][[ 'usedReads' ]] <- usedReads
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360 }
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361 #cat( MAIN_NAME, "PLOTTED_IMAGES: ", names(plotted_images), "\n", sep="" )
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362
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363 if ( doCall ){
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364 saveRDS( regions, robjRegionPath )
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365 printedFiles <- outputRegionsFromList( regions, outputBasename=outputName, outputDir=outputPath )
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366 }
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367
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368 ## ------------------------
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369 ## prepare output
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370 ## ------------------------
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371 cat( MAIN_NAME, "...zipping output\n")
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372 zip_cmd <- paste( "zip -j", gzipOutputPath, paste(outputPath,'/*',sep='') ) ## -j is for removing dirs from the tree
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373 system( zip_cmd )
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374
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375 ## ------------------------
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376 ## get filesizes for report
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377 ## ------------------------
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378 zippedSize <- paste( round( file.info( gzipOutputPath )[["size"]] / 1000000, digits=2 ), 'MB' )
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379 readCoSize <- paste( round( file.info( robjReadCoPath )[["size"]] / 1000000, digits=2 ), 'MB' )
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380 copyNrSize <- paste( round( file.info( robjCopyNrPath )[["size"]] / 1000000, digits=2 ), 'MB' )
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381 calledSize <- paste( round( file.info( robjCalledPath )[["size"]] / 1000000, digits=2 ), 'MB' )
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382 regionSize <- paste( round( file.info( robjRegionPath )[["size"]] / 1000000, digits=2 ), 'MB' )
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383
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384 ## ------------------------
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385 ## creating html output to be linked to from the middle galaxy pane
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386 ## ------------------------
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387
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388 #sink( file = outputHtml, type = "output" )
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389 sink( file = htmlOutputPath, type = "output" )
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390 cat( "<html>\n")
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391 cat( "<head>\n")
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392 #cat( '<link rel="stylesheet" type="text/css" href="test.css" media="screen" />', "\n" )
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393 #cat( '<link rel="stylesheet" type="text/css" href="../../../../static/style/test.css" media="screen" />',
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394 cat( "\t", '<link rel="stylesheet" href="http://yui.yahooapis.com/pure/0.4.2/pure-min.css">', "\n" )
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395 cat( "\t<style>\n")
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396 ## have to include CSS into html file, because css referencing outside own dir doesn't seem to work...
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397 cat( paste( "\t\t", '/* the css here originates from ', CSS_FILE,' */', "\n") )
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398 cat( paste( "\t\t", readLines( CSS_FILE, n = -1)), sep="\n" )
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399 #cat( "\t\th1 {color:red;}", "\n")
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400
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401 cat( "\t</style>\n" )
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402
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403 cat( "\n</head>\n")
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404 cat( "\n<body>\n")
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405
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406 cat( "<h1>QDNAseq Report</h1>", "\n")
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407
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408 cat( '<h3 class="qdnaseq">About this analysis</h3>', "\n")
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409 cat( '<p>This page provides access to all results. To have a local copy of this report just download the <a href="', gzipOutputName, '" class="button-success button-small pure-button">zipfile</a> with all output (', zippedSize, ')</p>', "\n", sep='')
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410 #cat( '<a href="#" class="button-success button-xsmall pure-button">test</a>' )
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411
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412
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413 ## ------------------------
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414 ## table with general info
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415 ## ------------------------
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416 cat( '<h3 class="qdnaseq">Settings</h3><p>', "\n")
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417 cat( '<table class="pure-table pure-table-striped"><thead><tr><th>setting</th><th>value</th></tr></thead><tbody>' )
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418 cat( htmlTableRow( c( "AnalysisName", outputName ) ) )
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419 cat( htmlTableRow( c( "AnalysisDate", 'todo' ) ) )
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420 cat( htmlTableRow( c( "BinSize (kb)", binSize ) ) )
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421 #cat( htmlTableRow( c( "undoSD", undoSD ) ) )
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422 #cat( htmlTableRow( c( "useBlacklist", filterBlacklistedBins ) ) )
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423
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424 for ( galaxyName in fileList[[ 'all_files' ]] ){
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425 sampleName <- fileList[[ galaxyName ]]
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426 cat( htmlTableRow( c( "InputBam", paste( galaxyName, ' (', sampleName, ')', sep='' ) ) ) )
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427 }
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428 cat( "</tbody></table></p>", "\n")
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429
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430 ## ------------------------
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431 ## list with links to all output files
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432 ## ------------------------
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433 r_code <- '<p>'
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434 r_code <- paste( r_code, '<code class="code">## R code to load files</code><br />', sep="\n" )
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435 r_code <- paste( r_code, '<code class="code">library( QDNAseq )</code><br />', sep="\n")
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436
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437 cat( '<h3 class="qdnaseq">Output files</h3><p>', "\n")
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438 cat( '<dl>', "\n" )
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439 #cat( '<dt>Definition term</dt>', "\n", '<dd>Definition term</dd>', "\n" )
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440 cat( '<dt>', htmlLink( path=robjReadCoName, robjReadCoName ), '</dt>', "\n" )
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441 cat( '<dd>QDNAseq object with read counts per bin, ', readCoSize,'</dd>', "\n" )
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442 r_code <- paste( r_code, '<code class="code">readCounts <- readRDS(', robjReadCoName, ")</code><br />", sep="")
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443
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444 cat( '<dt>', htmlLink( path=robjCopyNrName, robjCopyNrName ), '</dt>', "\n" )
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445 cat( '<dd>QDNAseq object with copy numbers per bin, ', copyNrSize,'</dd>', "\n" )
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446 r_code <- paste( r_code, '<code class="code">copyNumbersSmooth <- readRDS(', robjCopyNrName, ")</code><br />", sep="")
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447
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448 if ( doCall ){
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449 cat( '<dt>', htmlLink( path=robjCalledName, robjCalledName ), '</dt>', "\n" )
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450 cat( '<dd>QDNAseq object with segment and call status per bin, ', calledSize,'</dd>', "\n" )
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451 r_code <- paste( r_code, '<code class="code">copyNumbersCalled <- readRDS(', robjCalledName, ")</code><br />", sep="")
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452
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453 cat( '<dt>', htmlLink( path=regiOutputName, regiOutputName ), '</dt>', "\n" )
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454 cat( '<dd>list with segmented/called regions for each sample, ', regionSize, '</dd>', "\n" )
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455 r_code <- paste( r_code, '<code class="code">calledRegions <- readRDS(', regiOutputName, ")</code><br />", sep="")
|
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456
|
|
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457 }
|
|
|
458 cat( '</dl></p>', "\n" )
|
|
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459
|
|
25
|
460 #cat( r_code, "</p>\n", sep="\n")
|
|
2
|
461 cat( '<p>See ', htmlLink( WEB_LINK, 'the bioconductor QDNAseq documentation' ), ' for more information on how to work with these files</p>', "\n", sep='' )
|
|
|
462
|
|
|
463 ## ------------------------
|
|
|
464 ## table with links to files
|
|
|
465 ## ------------------------
|
|
|
466 cat( '<h3 class="qdnaseq">Results: overview</h3><p>', "\n")
|
|
|
467 plots_html <- ''
|
|
|
468
|
|
|
469 cat( '<table class="pure-table pure-table-striped"><thead><tr><th>Sample</th><th>CopyNumber</th><th>Called</th><th>ReadCount</th><th>RegionCount</th><th>Files</th></tr></thead><tbody>' )
|
|
|
470
|
|
|
471 for ( bam_file in sampleNames ){
|
|
|
472
|
|
|
473 #width <- 600; height <- 240
|
|
|
474 width <- PLOT_WIDTH; height <- PLOT_HEIGHT
|
|
|
475 width_t <- 100; height_t <- 40
|
|
|
476
|
|
|
477 ## add thumbnails to table with links to anchors on html page
|
|
|
478 copy_img <- plotted_images[[ bam_file ]][[ 'CopyNumbers' ]]
|
|
|
479 usedReads <- plotted_images[[ bam_file ]][[ 'usedReads' ]]
|
|
|
480 usedReads <- format( as.integer(usedReads), digits=4, decimal.mark=".", big.mark="," )
|
|
|
481
|
|
|
482 html_copy_thumb <- htmlLink( path=paste('#', copy_img, sep=''), paste('<img src="',copy_img,'" alt="', bam_file, '" width="', width_t, '" height="', height_t, '">', sep='') )
|
|
|
483 html_copy_img <- htmlLink( path=copy_img, paste('<img id="', copy_img,'" src="',copy_img,'" alt="',bam_file, '" width="', width, '" height="', height, '">', sep='') )
|
|
|
484 html_call_thumb <- 'NA'
|
|
|
485 html_call_img <- ''
|
|
|
486 html_bed <- 'NA'
|
|
|
487 html_bedGraph <- 'NA'
|
|
|
488 region_count <- 'NA'
|
|
|
489
|
|
|
490 if ( doCall ){
|
|
|
491 call_img <- plotted_images[[ bam_file ]][[ 'Called' ]]
|
|
|
492 region_count <- plotted_images[[ bam_file ]][[ 'region_count' ]]
|
|
|
493 html_call_thumb <- htmlLink( path=paste('#', call_img, sep=''), paste('<img src="', call_img, '" alt="', bam_file, '" width="', width_t,'" height="', height_t,'">', sep='') )
|
|
|
494
|
|
|
495 files <- printedFiles[[ bam_file ]]
|
|
|
496 html_bed <- htmlLink( path=files[1], 'bed' )
|
|
|
497 html_bedGraph <- htmlLink( path=files[2], 'bedGraph' )
|
|
|
498 html_call_img <- htmlLink( path=call_img, paste('<img id="', call_img,'" src="', call_img,'" alt="', bam_file, '" width="', width, '" height="', height,'">', sep='') )
|
|
|
499 }
|
|
|
500
|
|
|
501 ## add info to overview table, including small thumbnails
|
|
|
502 cat( htmlTableRow( c(bam_file, html_copy_thumb, html_call_thumb, usedReads, region_count, paste( html_bed, html_bedGraph, sep=", ")) ), "\n" )
|
|
|
503 ## now include (large) images in html page
|
|
|
504 plots_html <- paste( plots_html, html_copy_img, "\n", html_call_img, "\n<hr \\>\n", sep='' )
|
|
|
505 }
|
|
|
506 cat( "</tbody></table></p>", "\n")
|
|
|
507
|
|
|
508 ## add noise plot
|
|
|
509 html_noise_img <- htmlLink( path=noise_img_file, paste('<img id="', noise_img_file,'" src="',noise_img_file,'" alt="NoisePlot">', sep='') )
|
|
|
510 plots_html <- paste( plots_html, html_noise_img, "\n<hr \\>\n", sep='' )
|
|
|
511
|
|
|
512 ## ------------------------
|
|
|
513 ## section with various output shown
|
|
|
514 ## ------------------------
|
|
|
515 cat( '<h3 class="qdnaseq">Results: plots</h3><p>', "\n")
|
|
|
516 cat( plots_html, "\n")
|
|
|
517 cat( "\n</p></body>\n")
|
|
|
518 cat( "\n</html>\n")
|
|
|
519 sink()
|
|
|
520
|
|
|
521 ## ------------------------
|
|
|
522 ## creating html output to be viewed in middle galaxy pane
|
|
|
523 ## ------------------------
|
|
|
524 #sink( file = htmlOutputPath, type = "output" )
|
|
|
525 sink( file = outputHtml, type = "output" )
|
|
|
526
|
|
|
527 cat( "<head>", "\n")
|
|
|
528 cat( "\t", '<link rel="stylesheet" href="http://yui.yahooapis.com/pure/0.4.2/pure-min.css">', "\n" )
|
|
|
529
|
|
|
530 cat( "<style>", "\n")
|
|
|
531 ## have to include CSS into html file, because css referencing outside own dir doesn't seem to work...makes it more portable anyway :P
|
|
|
532 cat( paste( "\t", '/* the css here originates from ', CSS_FILE,' */', "\n") )
|
|
|
533 cat( paste( "\t", readLines( CSS_FILE, n = -1)), sep="\n" )
|
|
|
534 cat( "</style>", "\n")
|
|
|
535 cat( "</head>", "\n")
|
|
|
536
|
|
|
537
|
|
|
538 cat( '<h1>QDNAseq Results (', outputName,')</h1>', "\n", sep="")
|
|
|
539 cat( '<p>Explore <a href="', htmlOutputName, '" class="button-success button-small pure-button">the results</a> directly within galaxy</p>', "\n", sep="")
|
|
|
540 cat( '<p>Or download a <a href="', gzipOutputName, '" class="button-success button-small pure-button">zipfile</a> with all output (', zippedSize, ')</p>', "\n", sep="" )
|
|
|
541
|
|
|
542 cat( '<p>The zip file contains all output files, including *.rds files allowing you to load the R copyNumber object(s) and perform further detailed analysis or create your own output for further processing. You can load the rds file with <code class="code">loadRDS(file.rds)</code></p>', "\n", sep="")
|
|
|
543
|
|
|
544 sink()
|
|
|
545
|
|
|
546
|
|
|
547 cat( MAIN_NAME, "...zipping output\n")
|
|
|
548 zip_cmd <- paste( "zip -j ", gzipOutputPath, paste(outputPath,'/', htmlOutputName, sep='') ) ## -j is for removing dirs from the tree
|
|
|
549 system( zip_cmd )
|
|
|
550 cat( MAIN_NAME, "done...\n", sep="")
|
|
25
|
551 q(status=0)
|
