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1 #!/usr/bin/env Rscript
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2
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3 suppressPackageStartupMessages(library("data.table"))
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4 suppressPackageStartupMessages(library("optparse"))
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5
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6 option_list <- list(
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7 make_option(c("-b", "--build"), action="store", dest="build", help="Genome build"),
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8 make_option(c("-c", "--chrom_len_file"), action="store", dest="chrom_len_file", help="Chromosome length file"),
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9 make_option(c("-e", "--email"), action="store", dest="email", help="User email address"),
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10 make_option(c("-l", "--long_label"), action="store", dest="long_label", help="Hub long label"),
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11 make_option(c("-n", "--hub_name"), action="store", dest="hub_name", default=NULL, help="Hub name without spaces"),
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12 make_option(c("-p", "--input_dir_para"), action="store", dest="input_dir_para", help="Directory containing .para outputs from IDEAS"),
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13 make_option(c("-q", "--input_dir_state"), action="store", dest="input_dir_state", help="Directory containing .state outputs from IDEAS"),
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20
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14 make_option(c("-s", "--short_label"), action="store", dest="short_label", help="Hub short label"),
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15 make_option(c("-u", "--output_track_db"), action="store", dest="output_track_db", help="Output track db file"),
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16 make_option(c("-w", "--output_trackhub"), action="store", dest="output_trackhub", help="Output hub file"),
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17 make_option(c("-x", "--output_trackhub_files_path"), action="store", dest="output_trackhub_files_path", help="Output hub extra files path")
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18 )
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19
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20 parser <- OptionParser(usage="%prog [options] file", option_list=option_list)
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21 args <- parse_args(parser, positional_arguments=TRUE)
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22 opt <- args$options
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23
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24 create_color_scheme = function(input_dir_para) {
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25 # Create the color scheme.
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26 para_files <- list.files(path=input_dir_para, full.names=TRUE);
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27 mc = NULL;
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28 x = read.table(para_files[1], comment="!", nrows=1);
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29 l = as.integer(regexpr("\\*", as.matrix(x)));
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30 l = min(which(l>0)) - 2;
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31 x = as.matrix(read.table(para_files[1]));
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32 if (length(para_files) > 1) {
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33 for (i in 2:length(para_files)) {
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34 x = x + as.matrix(read.table(para_files[i]));
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35 }
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36 }
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37 p = x[,1] / sum(x[,1]);
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38 m = array(as.matrix(x[,1:l+1] / x[,1]), dim=c(dim(x)[1], l));
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39 state_color <- get_state_color(m, mc);
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40 return(state_color);
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41 }
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42
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43 get_track_file_name = function(base_track_file_name, index, ext) {
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44 track_file_name <- paste(base_track_file_name, index, ext, sep=".");
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45 return(track_file_name);
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46 }
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47
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48 get_state_color = function(statemean, markcolor=NULL)
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49 {
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50 if (length(markcolor) == 0) {
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51 markcolor = rep("", dim(statemean)[2]);
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52 markcolor[order(apply(statemean, 2, sd), decreasing=T)] = hsv((1:dim(statemean)[2]-1)/dim(statemean)[2], 1, 1);
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53 markcolor = t(col2rgb(markcolor));
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54 }
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55 rg = apply(statemean, 1, range);
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56 mm = NULL;
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57 for(i in 1:dim(statemean)[1]) {
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58 mm = rbind(mm, (statemean[i,]-rg[1,i])+1e-10)/(rg[2,i]-rg[1,i]+1e-10));
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59 }
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60 mm = mm^6;
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61 if(dim(mm)[2] > 1) {
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62 mm = mm / (apply(mm, 1, sum) + 1e-10);
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63 }
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64 mycol = mm%*%markcolor;
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65 s = apply(statemean, 1, max);
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66 s = (s - min(s)) / (max(s) - min(s) + 1e-10);
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67 h = t(apply(mycol, 1, function(x) {rgb2hsv(x[1], x[2], x[3])}));
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68 h[,2] = h[,2] * s;
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69 h = apply(h, 1, function(x) {hsv(x[1], x[2], x[3])});
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70 rt = cbind(apply(t(col2rgb(h)), 1, function(x) {paste(x, collapse=",")}), h);
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71 return(rt);
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72 }
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73
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74 create_primary_html = function(output_trackhub, tracks_dir) {
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75 track_files <- list.files(path=tracks_dir, full.names=TRUE);
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76 s <- "<html><head></head><body><ul>"
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77 for (i in 1:length(track_files)) {
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78 track_file <- track_files[i];
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79 s <- paste(s, "<li><a href=\"", track_file, "\">", track_file, "</a></li>");
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80 s <- paste(s, "</ul></body></html>"
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81 sink(output_trackhub);
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82 cat(s);
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83 sink();
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84 }
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85
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86 create_track = function(input_dir_state, chrom_len_file, base_track_file_name, state_color) {
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87 state_files <- list.files(path=input_dir_state, full.names=TRUE);
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88 genome_size = read.table(chrom_len_file);
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89 g = NULL;
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90 for(i in state_files) {
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91 tg = as.matrix(fread(i));
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92 t = NULL;
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93 for(j in 1:dim(genome_size)[1]) {
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94 t = c(t, which(tg[,2]==as.character(genome_size[j, 1]) & as.numeric(tg[,4]) > as.numeric(genome_size[j, 2])));
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95 }
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96 if (length(t) > 0) {
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97 tg = tg[-t,];
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98 }
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99 t = which(is.na(match(tg[,2], genome_size[,1]))==T);
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100 if (length(t)>0) {
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101 tg = tg[-t,];
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102 }
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103 g = rbind(g, tg);
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104 }
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105 uchr = sort(unique(as.character(g[,2])));
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106 g1 = NULL;
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107 for(i in uchr) {
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108 t = which(g[,2]==i);
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109 g1 = rbind(g1, g[t[order(as.integer(g[t, 3]))],]);
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110 }
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111 g = NULL;
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112 chr = as.character(g1[,2]);
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113 posst = as.numeric(g1[,3]);
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114 posed = as.numeric(g1[,4]);
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115 state = as.matrix(g1[,5:(dim(g1)[2]-1)]);
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116 state_name = 0:max(state);
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117 L = dim(g1)[1];
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118 n = dim(state)[2];
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119 cells = as.character(colnames(g1)[5:(dim(g1)[2]-1)]);
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120 g1 = NULL;
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121 options(scipen=999);
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122 tt = which(chr[2:L]!=chr[2:L-1]);
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123 tt = c(tt, which(posst[2:L]!=posed[2:L-1]));
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124 tt = sort(unique(tt));
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125 for(i in 1:n) {
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126 tstate = state[,i];
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127 t = c(tt, which(tstate[2:L]!=tstate[2:L-1]));
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128 t = sort(unique(t));
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129 t0 = c(0, t) + 1;
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130 t = c(t, L);
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131 np = cbind(chr[t], posst[t0], posed[t], tstate[t]);
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132 x = cbind(np[,1:3], state_name[as.integer(np[,4])+1], 1000, ".", np[,2:3], state_color[as.numeric(np[,4])+1]);
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133 track_file_name_bed <- get_track_file_name(base_track_file_name, i, "bed");
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134 track_file_name_bigbed <- get_track_file_name(base_track_file_name, i, "bigbed");
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135 write.table(as.matrix(x), track_file_name_bed, quote=F, row.names=F, col.names=F);
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136 system(paste("bedToBigBed ", track_file_name_bed, chrom_len_file, " ", track_file_name_bigbed));
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137 system(paste("rm ", track_file_name_bed));
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138 }
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139 return(cells);
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140 }
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141
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142 create_track_db = function(input_dir_state, chrom_len_file, tracks_dir, hub_name, short_label, long_label, state_color) {
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143 base_track_file_name <- paste(tracks_dir, hub_name, sep="");
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144 cells = create_track(input_dir_state, chrom_len_file, base_track_file_name, state_color);
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145 cell_info = cbind(cells, cells, cells, "#000000");
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146 cell_info = array(cell_info, dim=c(length(cells), 4));
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147 cell_info = as.matrix(cell_info);
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148 track_db = NULL;
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149 for(i in 1:length(cells)) {
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150
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151 ii = which(cells[i] == cellinfo[,1]);
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152 if (length(ii) == 0) {
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153 next;
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154 }
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155 ii = ii[1];
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156 # trackDb.txt track entry.
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157 track_db = c(track_db, paste(hub_name, "_track_", i, sep=""));
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158 track_db = c(track_db, "type bigBed");
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159 track_db = c(track_db, paste("bigDataUrl ", get_track_file_name(base_track_file_name, i, "bigbed"));
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160 track_db = c(track_db, paste("shortLabel", short_label));
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161 track_db = c(track_db, paste("longLabel", long_label);
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162 track_db = c(track_db, paste("priority", i));
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163 track_db = c(track_db, "itemRgb on");
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164 track_db = c(track_db, "maxItems 100000");
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165 track_db = c(track_db, paste("color", paste(c(col2rgb(cellinfo[ii,4])), collapse=",")));
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166 track_db = c(track_db, "visibility dense");
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167 track_db = c(track_db, "");
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168 }
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169 return(track_db);
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170 }
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171
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172 # Create the color scheme.
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173 state_color <- create_color_scheme(opt$input_dir_para);
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174
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175 # Create the hub.txt output.
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176 contents <- c(paste("hub", opt$hub_name), paste("shortLabel",opt$short_label), paste("longLabel", opt$long_label), paste("genomesFile genomes.txt", sep=""), paste("email", opt$email))
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177 hub_file_path <- paste(opt$output_trackhub_files_path, "/", "hub.txt", sep="")
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178 write.table(contents, file=hub_file_path, quote=F, row.names=F, col.names=F);
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179
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180 # Create the genomes.txt output.
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181 contents <- c(paste("genome", opt$build), paste("trackDb ", opt$build, "/", "trackDb.txt", sep=""))
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182 genomes_file_path <- paste(opt$output_trackhub_files_path, "/", "genomes.txt", sep="")
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183 write.table(contents, file=genomes_file_path, quote=F, row.names=F, col.names=F);
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184
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185 # Create the tracks.
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186 tracks_dir <- paste(opt$output_trackhub_files_path, "/", "tracks", "/", sep="");
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187 dir.create(tracks_dir, showWarnings=FALSE);
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188 track_db <- create_track_db(opt$input_dir_state, opt$chrom_len_file, tracks_dir, opt$hub_name, opt$short_label, opt$long_label, state_color);
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189
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190 # Create the trackDb.txt output.
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191 track_db_file_path <- paste(tracks_dir, "/", paste("trackDb.txt", sep=""), sep="")
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192 write.table(track_db, file=track_db_file_path, quote=F, row.names=F, col.names=F);
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193
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194 # Create the primary HTML dataset.
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195 create_primary_html(opt$output_trackhub, tracks_dir);
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