annotate sam_to_bam.py @ 4:8176b2575aa1 draft

Uploaded tool and dependency definitions that specify samtools version 0.1.19.
author devteam
date Thu, 27 Mar 2014 15:23:15 -0400
parents ab4c4e07eb3c
children
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1 #!/usr/bin/env python
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2 """
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3 Converts SAM data to sorted BAM data.
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4 usage: sam_to_bam.py [options]
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5 --input1: SAM file to be converted
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6 --index: path of the indexed reference genome
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7 --ref_file: Reference file if choosing from history
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8 --output1: output dataset in bam format
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9 """
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10
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11 import optparse, os, sys, subprocess, tempfile, shutil
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12
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13 def stop_err( msg ):
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14 sys.stderr.write( '%s\n' % msg )
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15 sys.exit()
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16
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17 def __main__():
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18 #Parse Command Line
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19 parser = optparse.OptionParser()
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20 parser.add_option( '', '--input1', dest='input1', help='The input SAM dataset' )
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21
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22 parser.add_option( '', '--index', dest='index', help='The path of the indexed reference genome' )
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23 parser.add_option( '', '--ref_file', dest='ref_file', help='The reference dataset from the history' )
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24 parser.add_option( '', '--output1', dest='output1', help='The output BAM dataset' )
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25 ( options, args ) = parser.parse_args()
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26
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27 # output version # of tool
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28 try:
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29 tmp = tempfile.NamedTemporaryFile().name
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30 tmp_stdout = open( tmp, 'wb' )
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31 proc = subprocess.Popen( args='samtools 2>&1', shell=True, stdout=tmp_stdout )
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32 tmp_stdout.close()
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33 returncode = proc.wait()
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34 stdout = None
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35 for line in open( tmp_stdout.name, 'rb' ):
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36 if line.lower().find( 'version' ) >= 0:
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37 stdout = line.strip()
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38 break
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39 if stdout:
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40 sys.stdout.write( 'Samtools %s\n' % stdout )
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41 else:
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42 raise Exception
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43 except:
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44 sys.stdout.write( 'Could not determine Samtools version\n' )
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45
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46 tmp_dir = tempfile.mkdtemp( dir='.' )
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47 if not options.ref_file or options.ref_file == 'None':
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48 # We're using locally cached reference sequences( e.g., /galaxy/data/equCab2/sam_index/equCab2.fa ).
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49 # The indexes for /galaxy/data/equCab2/sam_index/equCab2.fa will be contained in
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50 # a file named /galaxy/data/equCab2/sam_index/equCab2.fa.fai
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51 fai_index_file_path = '%s.fai' % options.index
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52 if not os.path.exists( fai_index_file_path ):
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53 #clean up temp files
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54 if os.path.exists( tmp_dir ):
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55 shutil.rmtree( tmp_dir )
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56 stop_err( 'Indexed genome %s not present, request it by reporting this error.' % options.index )
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57 else:
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58 try:
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59 # Create indexes for history reference ( e.g., ~/database/files/000/dataset_1.dat ) using samtools faidx, which will:
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60 # - index reference sequence in the FASTA format or extract subsequence from indexed reference sequence
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61 # - if no region is specified, faidx will index the file and create <ref.fasta>.fai on the disk
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62 # - if regions are specified, the subsequences will be retrieved and printed to stdout in the FASTA format
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63 # - the input file can be compressed in the RAZF format.
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64 # IMPORTANT NOTE: a real weakness here is that we are creating indexes for the history dataset
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65 # every time we run this tool. It would be nice if we could somehow keep track of user's specific
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66 # index files so they could be re-used.
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67 fai_index_file_base = tempfile.NamedTemporaryFile( dir=tmp_dir ).name
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68 # At this point, fai_index_file_path will look something like /tmp/dataset_13.dat
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69 os.symlink( options.ref_file, fai_index_file_base )
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70 fai_index_file_path = '%s.fai' % fai_index_file_base
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71 command = 'samtools faidx %s' % fai_index_file_base
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72 tmp = tempfile.NamedTemporaryFile( dir=tmp_dir ).name
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73 tmp_stderr = open( tmp, 'wb' )
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74 proc = subprocess.Popen( args=command, shell=True, cwd=tmp_dir, stderr=tmp_stderr.fileno() )
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75 returncode = proc.wait()
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76 tmp_stderr.close()
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77 # get stderr, allowing for case where it's very large
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78 tmp_stderr = open( tmp, 'rb' )
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79 stderr = ''
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80 buffsize = 1048576
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81 try:
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82 while True:
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83 stderr += tmp_stderr.read( buffsize )
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84 if not stderr or len( stderr ) % buffsize != 0:
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85 break
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86 except OverflowError:
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87 pass
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88 tmp_stderr.close()
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89 if returncode != 0:
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90 raise Exception, stderr
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91 if os.path.getsize( fai_index_file_path ) == 0:
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92 raise Exception, 'Index file empty, there may be an error with your reference file or settings.'
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93 except Exception, e:
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94 #clean up temp files
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95 if os.path.exists( tmp_dir ):
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96 shutil.rmtree( tmp_dir )
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97 stop_err( 'Error creating indexes from reference (%s), %s' % ( options.ref_file, str( e ) ) )
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98 try:
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99 # Extract all alignments from the input SAM file to BAM format ( since no region is specified, all the alignments will be extracted ).
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100 tmp_aligns_file = tempfile.NamedTemporaryFile( dir=tmp_dir )
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101 tmp_aligns_file_name = tmp_aligns_file.name
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102 tmp_aligns_file.close()
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103 command = 'samtools view -bt %s -o %s %s' % ( fai_index_file_path, tmp_aligns_file_name, options.input1 )
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104 tmp = tempfile.NamedTemporaryFile( dir=tmp_dir ).name
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105 tmp_stderr = open( tmp, 'wb' )
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106 proc = subprocess.Popen( args=command, shell=True, cwd=tmp_dir, stderr=tmp_stderr.fileno() )
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107 returncode = proc.wait()
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108 tmp_stderr.close()
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109 # get stderr, allowing for case where it's very large
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110 tmp_stderr = open( tmp, 'rb' )
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111 stderr = ''
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112 buffsize = 1048576
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113 try:
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114 while True:
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115 stderr += tmp_stderr.read( buffsize )
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116 if not stderr or len( stderr ) % buffsize != 0:
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117 break
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118 except OverflowError:
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119 pass
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120 tmp_stderr.close()
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121 if returncode != 0:
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122 raise Exception, stderr
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123 except Exception, e:
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124 #clean up temp files
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125 if os.path.exists( tmp_dir ):
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126 shutil.rmtree( tmp_dir )
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127 stop_err( 'Error extracting alignments from (%s), %s' % ( options.input1, str( e ) ) )
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128 try:
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129 # Sort alignments by leftmost coordinates. File <out.prefix>.bam will be created. This command
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130 # may also create temporary files <out.prefix>.%d.bam when the whole alignment cannot be fitted
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131 # into memory ( controlled by option -m ).
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132 tmp_sorted_aligns_file = tempfile.NamedTemporaryFile( dir=tmp_dir )
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133 tmp_sorted_aligns_file_name = tmp_sorted_aligns_file.name
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134 tmp_sorted_aligns_file.close()
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135 command = 'samtools sort %s %s' % ( tmp_aligns_file_name, tmp_sorted_aligns_file_name )
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136 tmp = tempfile.NamedTemporaryFile( dir=tmp_dir ).name
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137 tmp_stderr = open( tmp, 'wb' )
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138 proc = subprocess.Popen( args=command, shell=True, cwd=tmp_dir, stderr=tmp_stderr.fileno() )
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139 returncode = proc.wait()
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140 tmp_stderr.close()
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141 # get stderr, allowing for case where it's very large
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142 tmp_stderr = open( tmp, 'rb' )
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143 stderr = ''
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144 buffsize = 1048576
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145 try:
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146 while True:
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147 stderr += tmp_stderr.read( buffsize )
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148 if not stderr or len( stderr ) % buffsize != 0:
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149 break
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150 except OverflowError:
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151 pass
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152 tmp_stderr.close()
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153 if returncode != 0:
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154 raise Exception, stderr
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155 except Exception, e:
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156 #clean up temp files
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157 if os.path.exists( tmp_dir ):
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158 shutil.rmtree( tmp_dir )
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159 stop_err( 'Error sorting alignments from (%s), %s' % ( tmp_aligns_file_name, str( e ) ) )
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160 # Move tmp_aligns_file_name to our output dataset location
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161 sorted_bam_file = '%s.bam' % tmp_sorted_aligns_file_name
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162 shutil.move( sorted_bam_file, options.output1 )
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163 #clean up temp files
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164 if os.path.exists( tmp_dir ):
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165 shutil.rmtree( tmp_dir )
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166 # check that there are results in the output file
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167 if os.path.getsize( options.output1 ) > 0:
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168 sys.stdout.write( 'SAM file converted to BAM' )
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169 else:
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170 stop_err( 'Error creating sorted version of BAM file.' )
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171
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172 if __name__=="__main__": __main__()