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1 #!/usr/bin/env python
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2 import argparse
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3 import os
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4 import subprocess
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5 import sys
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6 import tempfile
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7
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8 import bx.seq.nib
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9 import bx.seq.twobit
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10 from bx.intervals.io import Header, Comment
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11 from galaxy.datatypes.util import gff_util
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12 from galaxy.tools.util.galaxyops import parse_cols_arg
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13
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14
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15 def convert_to_twobit(reference_genome):
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16 """
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17 Create 2bit file history fasta dataset.
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18 """
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19 try:
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20 seq_path = tempfile.NamedTemporaryFile(dir=".").name
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21 cmd = "faToTwoBit %s %s" % (reference_genome, seq_path)
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22 tmp_name = tempfile.NamedTemporaryFile(dir=".").name
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23 tmp_stderr = open(tmp_name, 'wb')
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24 proc = subprocess.Popen(args=cmd, shell=True, stderr=tmp_stderr.fileno())
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25 returncode = proc.wait()
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26 tmp_stderr.close()
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27 if returncode != 0:
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28 # Get stderr, allowing for case where it's very large.
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29 tmp_stderr = open(tmp_name, 'rb')
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30 stderr = ''
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31 buffsize = 1048576
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32 try:
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33 while True:
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34 stderr += tmp_stderr.read(buffsize)
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35 if not stderr or len(stderr) % buffsize != 0:
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36 break
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37 except OverflowError:
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38 pass
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39 tmp_stderr.close()
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40 os.remove(tmp_name)
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41 stop_err(stderr)
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42 return seq_path
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43 except Exception, e:
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44 stop_err('Error running faToTwoBit. ' + str(e))
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45
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46
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47 def get_lines(feature):
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48 # Get feature's line(s).
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49 if isinstance(feature, gff_util.GFFFeature):
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50 return feature.lines()
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51 else:
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52 return [feature.rstrip('\r\n')]
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53
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54
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55 def reverse_complement(s):
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56 complement_dna = {"A": "T", "T": "A", "C": "G", "G": "C", "a": "t", "t": "a", "c": "g", "g": "c", "N": "N", "n": "n"}
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57 reversed_s = []
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58 for i in s:
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59 reversed_s.append(complement_dna[i])
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60 reversed_s.reverse()
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61 return "".join(reversed_s)
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62
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63
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64 def stop_err(msg):
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65 sys.stderr.write(msg)
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66 sys.exit(1)
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67
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68 parser = argparse.ArgumentParser()
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3
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69 parser.add_argument('--input_format', dest='input_format', help="Input dataset format")
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70 parser.add_argument('--input', dest='input', help="Input dataset")
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71 parser.add_argument('--genome', dest='genome', help="Input dataset genome build")
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72 parser.add_argument('--interpret_features', dest='interpret_features', default=None, help="Interpret features if input format is gff")
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73 parser.add_argument('--columns', dest='columns', help="Columns to use in input file")
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74 parser.add_argument('--reference_genome_source', dest='reference_genome_source', help="Source of reference genome file")
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75 parser.add_argument('--reference_genome', dest='reference_genome', help="Reference genome file")
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76 parser.add_argument('--output_format', dest='output_format', help="Output format")
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77 parser.add_argument('--output', dest='output', help="Output dataset")
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78 args = parser.parse_args()
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79
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80 input_is_gff = args.input_format == 'gff'
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81 interpret_features = input_is_gff and args.interpret_features == "yes"
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4
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82 if len(args.columns.split(',')) == 5:
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83 # Bed file.
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84 chrom_col, start_col, end_col, strand_col, name_col = parse_cols_arg(args.columns)
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85 else:
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86 # Gff file.
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87 chrom_col, start_col, end_col, strand_col = parse_cols_arg(args.columns)
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88 name_col = False
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89
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90 if args.reference_genome_source == "history":
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91 seq_path = convert_to_twobit(args.reference_genome)
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92 else:
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93 seq_path = args.reference_genome
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94 seq_dir = os.path.split(seq_path)[0]
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95
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96 includes_strand_col = strand_col >= 0
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97 strand = None
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98 nibs = {}
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99 skipped_lines = 0
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100 first_invalid_line = 0
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101 invalid_lines = []
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102 warnings = []
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103 warning = ''
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104 twobitfile = None
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105 line_count = 1
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106 file_iterator = open(args.input)
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107 if interpret_features:
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108 file_iterator = gff_util.GFFReaderWrapper(file_iterator, fix_strand=False)
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109 out = open(args.output, 'wt')
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110
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111 for feature in file_iterator:
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112 # Ignore comments, headers.
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113 if isinstance(feature, (Header, Comment)):
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114 line_count += 1
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115 continue
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116 name = ""
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117 if interpret_features:
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118 # Processing features.
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119 gff_util.convert_gff_coords_to_bed(feature)
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120 chrom = feature.chrom
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121 start = feature.start
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122 end = feature.end
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123 strand = feature.strand
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124 else:
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125 # Processing lines, either interval or GFF format.
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126 line = feature.rstrip('\r\n')
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127 if line and not line.startswith("#"):
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128 fields = line.split('\t')
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129 try:
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130 chrom = fields[chrom_col]
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131 start = int(fields[start_col])
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132 end = int(fields[end_col])
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133 if name_col:
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134 name = fields[name_col]
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135 if input_is_gff:
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136 start, end = gff_util.convert_gff_coords_to_bed([start, end])
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137 if includes_strand_col:
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138 strand = fields[strand_col]
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139 except:
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140 warning = "Invalid chrom, start or end column values. "
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141 warnings.append(warning)
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142 if not invalid_lines:
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143 invalid_lines = get_lines(feature)
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144 first_invalid_line = line_count
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145 skipped_lines += len(invalid_lines)
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146 continue
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147 if start > end:
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148 warning = "Invalid interval, start '%d' > end '%d'. " % (start, end)
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149 warnings.append(warning)
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150 if not invalid_lines:
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151 invalid_lines = get_lines(feature)
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152 first_invalid_line = line_count
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153 skipped_lines += len(invalid_lines)
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154 continue
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155 if strand not in ['+', '-']:
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156 strand = '+'
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157 sequence = ''
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158 else:
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159 continue
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160 # Open sequence file and get sequence for feature/interval.
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161 if os.path.exists("%s/%s.nib" % (seq_dir, chrom)):
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162 if chrom in nibs:
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163 nib = nibs[chrom]
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164 else:
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165 nibs[chrom] = nib = bx.seq.nib.NibFile(file("%s/%s.nib" % (seq_path, chrom)))
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166 try:
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167 sequence = nib.get(start, end - start)
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168 except Exception, e:
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169 warning = "Unable to fetch the sequence from '%d' to '%d' for build '%s'. " % (start, end - start, args.genome)
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170 warnings.append(warning)
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171 if not invalid_lines:
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172 invalid_lines = get_lines(feature)
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173 first_invalid_line = line_count
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174 skipped_lines += len(invalid_lines)
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175 continue
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176 elif os.path.isfile(seq_path):
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177 if not(twobitfile):
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178 twobitfile = bx.seq.twobit.TwoBitFile(file(seq_path))
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179 try:
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180 if interpret_features:
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181 # Create sequence from intervals within a feature.
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182 sequence = ''
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183 for interval in feature.intervals:
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184 sequence += twobitfile[interval.chrom][interval.start:interval.end]
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185 else:
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186 sequence = twobitfile[chrom][start:end]
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187 except:
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188 warning = "Unable to fetch the sequence from '%d' to '%d' for chrom '%s'. " % (start, end - start, chrom)
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189 warnings.append(warning)
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190 if not invalid_lines:
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191 invalid_lines = get_lines(feature)
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192 first_invalid_line = line_count
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193 skipped_lines += len(invalid_lines)
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194 continue
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195 else:
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196 warning = "Chromosome by name '%s' was not found for build '%s'. " % (chrom, args.genome)
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197 warnings.append(warning)
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198 if not invalid_lines:
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199 invalid_lines = get_lines(feature)
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200 first_invalid_line = line_count
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201 skipped_lines += len(invalid_lines)
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202 continue
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203 if sequence == '':
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204 warning = "Chrom: '%s', start: '%d', end: '%d' is either invalid or not present in build '%s'. " % (chrom, start, end, args.genome)
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205 warnings.append(warning)
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206 if not invalid_lines:
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207 invalid_lines = get_lines(feature)
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208 first_invalid_line = line_count
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209 skipped_lines += len(invalid_lines)
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210 continue
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211 if includes_strand_col and strand == "-":
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212 sequence = reverse_complement(sequence)
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213 if args.output_format == "fasta":
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214 l = len(sequence)
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215 c = 0
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216 if input_is_gff:
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217 start, end = gff_util.convert_bed_coords_to_gff([start, end])
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218 fields = [args.genome, str(chrom), str(start), str(end), strand]
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219 meta_data = "_".join(fields)
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220 if name.strip():
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221 out.write(">%s %s\n" % (meta_data, name))
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222 else:
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223 out.write(">%s\n" % meta_data)
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224 while c < l:
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225 b = min(c + 50, l)
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226 out.write("%s\n" % str(sequence[c:b]))
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227 c = b
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228 else:
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229 # output_format == "interval".
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230 if interpret_features:
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231 meta_data = "\t".join([feature.chrom,
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232 "galaxy_extract_genomic_dna",
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233 "interval",
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234 str(feature.start),
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235 str(feature.end),
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236 feature.score,
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237 feature.strand,
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238 ".",
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239 gff_util.gff_attributes_to_str(feature.attributes, "GTF")])
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240 else:
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241 # Where is fields being set here?
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242 meta_data = "\t".join(fields)
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243 if input_is_gff:
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244 format_str = "%s seq \"%s\";\n"
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245 else:
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246 format_str = "%s\t%s\n"
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247 out.write(format_str % (meta_data, str(sequence)))
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248 # Update line count.
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249 if isinstance(feature, gff_util.GFFFeature):
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250 line_count += len(feature.intervals)
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251 else:
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252 line_count += 1
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253 out.close()
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254
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255 if warnings:
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256 warn_msg = "%d warnings, 1st is: " % len(warnings)
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257 warn_msg += warnings[0]
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258 print warn_msg
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259 if skipped_lines:
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260 # Error message includes up to the first 10 skipped lines.
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261 print 'Skipped %d invalid lines, 1st is #%d, "%s"' % (skipped_lines, first_invalid_line, '\n'.join(invalid_lines[:10]))
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262
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263 if args.reference_genome_source == "history":
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264 os.remove(seq_path)
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