annotate prepare_population_structure.py @ 17:a3af29edcce2

Uploaded Miller Lab Devshed version a51c894f5bed
author miller-lab
date Fri, 28 Sep 2012 11:57:18 -0400
parents 2c498d40ecde
children 248b06e86022
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1 #!/usr/bin/env python
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2
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3 import errno
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4 import os
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5 import shutil
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6 import subprocess
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7 import sys
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8 from Population import Population
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9 import gd_composite
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10
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11 ################################################################################
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12
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13 def do_import(filename, files_path, min_reads, min_qual, min_spacing, tags, using_info, population_list):
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14 info_page = gd_composite.InfoPage()
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15 info_page.set_title('Prepare to look for population structure Galaxy Composite Dataset')
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16
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17 display_file = gd_composite.DisplayFile()
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18 display_value = gd_composite.DisplayValue()
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19
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20 out_ped = gd_composite.Parameter(name='admix.ped', value='admix.ped', display_type=display_file)
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21 out_map = gd_composite.Parameter(name='admix.map', value='admix.map', display_type=display_file)
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22 out_use = gd_composite.Parameter(description=using_info, display_type=display_value)
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23
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24 info_page.add_output_parameter(out_ped)
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25 info_page.add_output_parameter(out_map)
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26 info_page.add_output_parameter(out_use)
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27
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28 in_min_reads = gd_composite.Parameter(description='Minimum reads covering a SNP, per individual', value=min_reads, display_type=display_value)
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29 in_min_qual = gd_composite.Parameter(description='Minimum quality value, per individual', value=min_qual, display_type=display_value)
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30 in_min_spacing = gd_composite.Parameter(description='Minimum spacing between SNPs on the same scaffold', value=min_spacing, display_type=display_value)
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31
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32 info_page.add_input_parameter(in_min_reads)
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33 info_page.add_input_parameter(in_min_qual)
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34 info_page.add_input_parameter(in_min_spacing)
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35
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36 misc_populations = gd_composite.Parameter(name='Populations', value=population_list, display_type=gd_composite.DisplayPopulationList())
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37 info_page.add_misc(misc_populations)
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38
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39 with open(filename, 'w') as ofh:
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40 print >> ofh, info_page.render()
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41
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42 def mkdir_p(path):
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43 try:
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44 os.makedirs(path)
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45 except OSError, e:
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46 if e.errno <> errno.EEXIST:
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47 raise
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48
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49 def die(message, exit=True):
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50 print >> sys.stderr, message
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51 if exit:
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52 sys.exit(1)
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53
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54 ################################################################################
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55
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56 if len(sys.argv) < 9:
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57 die("Usage")
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58
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59 # parse command line
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60 input_snp_filename, min_reads, min_qual, min_spacing, output_filename, output_files_path = sys.argv[1:7]
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61 args = sys.argv[7:]
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62
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63 individual_metadata = []
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64 population_files = []
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65 population_names = []
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66 all_individuals = False
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67
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68 for arg in args:
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69 if arg == 'all_individuals':
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70 all_individuals = True
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71 elif len(arg) > 11:
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72 tag = arg[:11]
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73 value = arg[11:]
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74 if tag == 'individual:':
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75 individual_metadata.append(value)
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76 elif tag == 'population:':
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77 filename, name = value.split(':', 1)
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78 population_files.append(filename)
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79 population_names.append(name)
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80
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81 p_total = Population()
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82 p_total.from_tag_list(individual_metadata)
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83
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84 individual_population = {}
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85
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86 population_list = []
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87
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88 if all_individuals:
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89 p1 = p_total
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90 p1.name = 'All Individuals'
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91 population_list.append(p1)
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92 else:
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93 p1 = Population()
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94 for idx in range(len(population_files)):
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95 population_file = population_files[idx]
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96 population_name = population_names[idx]
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97 this_pop = Population(population_name)
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98 this_pop.from_population_file(population_file)
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99 population_list.append(this_pop)
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100 p1.from_population_file(population_file)
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101 tags = p1.tag_list()
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102 for tag in tags:
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103 if tag not in individual_population:
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104 individual_population[tag] = population_name
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105
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106 if not p_total.is_superset(p1):
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107 print >> sys.stderr, 'There is an individual in the population that is not in the SNP table'
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108 sys.exit(1)
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109
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110 # run tool
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111 prog = 'admix_prep'
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112
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113 args = []
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114 args.append(prog)
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115 args.append(input_snp_filename)
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116 args.append(min_reads)
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117 args.append(min_qual)
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118 args.append(min_spacing)
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119
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120 tags = p1.tag_list()
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121 for tag in tags:
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122 args.append(tag)
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123
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124 #print "args:", ' '.join(args)
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125 p = subprocess.Popen(args, bufsize=-1, stdin=None, stdout=subprocess.PIPE, stderr=sys.stderr)
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126 (stdoutdata, stderrdata) = p.communicate()
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127 rc = p.returncode
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128
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129 if rc != 0:
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130 die('admix_prep failed: rc={0}'.format(rc))
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131
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132 using_info = stdoutdata.rstrip('\r\n')
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133 mkdir_p(output_files_path)
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134 output_ped_filename = os.path.join(output_files_path, 'admix.ped')
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135 output_map_filename = os.path.join(output_files_path, 'admix.map')
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136 shutil.copy2('admix.ped', output_ped_filename)
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137 shutil.copy2('admix.map', output_map_filename)
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138 do_import(output_filename, output_files_path, min_reads, min_qual, min_spacing, tags, using_info, population_list)
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139
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140 os.unlink('admix.ped')
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141 os.unlink('admix.map')
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142
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143 sys.exit(0)
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144