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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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12
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7 make_option(c("--chrom_bed_input"), action="store", dest="chrom_bed_input", defaul=NULL, help="Chromosome windows positions file"),
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3
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8 make_option(c("--exclude_input"), action="store", dest="exclude_input", defaul=NULL, help="File(s) containing regions to exclude"),
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9 make_option(c("--bychr"), action="store_true", dest="bychr", defaul=FALSE, help="Separate files by chromosome"),
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10 make_option(c("--chrom_len_file"), action="store", dest="chrom_len_file", default=NULL, help="Chromosome lengths file"),
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11 make_option(c("--ideaspre_input_config"), action="store", dest="ideaspre_input_config", help="Preprocessing input config file"),
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12 make_option(c("--output"), action="store", dest="output", help="Primary output dataset"),
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13 make_option(c("--output_files_path"), action="store", dest="output_files_path", help="Primary output dataset extra files path"),
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14 make_option(c("--output_hid"), action="store", dest="output_hid", help="Primary output dataset hid"),
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15 make_option(c("--reads_per_bp"), action="store", dest="reads_per_bp", type="integer", help="Calculate the signal in each genomic window"),
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16 make_option(c("--restrict_to_chroms"), action="store", dest="restrict_to_chroms", default=NULL, help="Restrict processing to specified chromosomes"),
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17 make_option(c("--standardize_datasets"), action="store_true", dest="standardize_datasets", default=FALSE, help="Standardize all datasets"),
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18 make_option(c("--chromosome_windows"), action="store", dest="chromosome_windows", default=NULL, help="Windows positions by chroms config file"),
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19 make_option(c("--window_size"), action="store", dest="window_size", type="integer", default=NULL, help="Window size in base pairs")
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20 )
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21
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22 parser <- OptionParser(usage="%prog [options] file", option_list=option_list)
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23 args <- parse_args(parser, positional_arguments=TRUE)
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24 opt <- args$options
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25
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26 create_primary_html = function(output, output_hid, output_files_path) {
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27 files = list.files(path=output_files_path);
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28 s <- paste('<html><head></head><body>', sep="\n");
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29 s <- paste(s, '<h3>History item ', output_hid, ' files prepared for IDEAS</h3>\n', sep="");
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30 s <- paste(s, '<ul>\n', sep="");
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31 for (i in 1:length(files)) {
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32 s <- paste(s, '<li><a href="', files[i], '">', files[i], '</a></li>\n', sep="");
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33 }
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34 s <- paste(s, '</ul>\n</body>\n</html>', sep="");
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35 cat(s, file=output);
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36 }
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37
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38 tmp_dir = "tmp";
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39 output_tmp_dir = paste(opt$output_files_path, tmp_dir, sep="/");
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40 dir.create(output_tmp_dir, showWarnings=FALSE);
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41
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42 # Read the ideaspre_input_config text file which has this format:
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43 # "cell type name" "epigenetic factor name" "file path" "file name" "datatype"
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44 ideaspre_input_config = as.matrix(read.table(opt$ideaspre_input_config));
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45 # Process data to windows mean.
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46 # TODO: implement scenario where user did not select chrom_bed_input.
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47 if (!is.null(opt$chrom_bed_input)) {
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48 for (i in 1:dim(ideaspre_input_config)[1]) {
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49 file_path = ideaspre_input_config[i, 3]
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50 file_name = ideaspre_input_config[i, 4]
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51 datatype = ideaspre_input_config[i, 5]
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52 if (datatype == "bam") {
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53 cmd = paste("samtools index", file_path);
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54 system(cmd);
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55 bigwig_file_name = paste(file_name, "bw", sep=".");
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56 cmd = paste("bamCoverage --bam", file_path, "-o", bigwig_file_name, "--binSize", opt$window_size);
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57 system(cmd);
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58 } else {
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59 bigwig_file_name = file_path;
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60 }
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61 bed_file_name = paste(file_name, "bed", sep=".");
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62 bed_file_path = paste("tmp", bed_file_name, sep="/");
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63 cmd = paste("bigWigAverageOverBed", bigwig_file_name, opt$chrom_bed_input, "stdout | cut -f5 >", bed_file_path);
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64 system(cmd);
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65 cmd = paste("gzip -f", bed_file_path);
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66 system(cmd);
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67 }
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68 }
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69
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70 # Create file1.txt.
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71 cmd = paste("cut -d' '", opt$ideaspre_input_config, "-f1,2 > file1.txt", sep=" ");
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72 system(cmd);
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73 # Compress the bed files in the tmp directory.
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74 tmp_gzipped_files = paste(tmp_dir, "*.bed.gz", sep="/");
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75 # Create file2.txt.
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76 cmd = paste("ls", tmp_gzipped_files, "> file2.txt", sep=" ");
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77 system(cmd);
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78 # Create IDEAS_input_config.txt with the format required by IDEAS.
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79 ideas_input_config = "IDEAS_input_config.txt"
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80 cmd = paste("paste -d' ' file1.txt file2.txt >", ideas_input_config, sep=" " );
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81 system(cmd);
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82 # Move IDEAS_input_config.txt to the output directory.
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83 to_path = paste(opt$output_files_path, ideas_input_config, sep="/");
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84 file.rename(ideas_input_config, to_path);
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85 # Move the compressed bed files in the tmp
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86 # directory to the output tmp directory.
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87 tmp_files = list.files(path=tmp_dir);
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88 for (i in 1:length(tmp_files)) {
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89 from_path = paste(tmp_dir, tmp_files[i], sep="/");
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90 to_path = paste(output_tmp_dir, tmp_files[i], sep="/");
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91 file.rename(from_path, to_path);
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92 }
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93 if (!is.null(opt$chrom_bed_input) && !is.null(opt$chromosome_windows)) {
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94 # Renane opt$chrom_bed_input to be chromosomes.bed
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95 # and make a copy of it in the output directory.
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96 to_path = paste(opt$output_files_path, "chromosomes.bed", sep="/");
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97 file.copy(opt$chromosome_windows, to_path);
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98 # Move chromosome_windows.txt to the output directory.
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99 to_path = paste(opt$output_files_path, opt$chromosome_windows, sep="/");
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100 file.rename(opt$chromosome_windows, to_path);
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101 }
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102 # Create the primary HTML dataset.
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103 create_primary_html(opt$output, opt$output_hid, opt$output_files_path);
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