annotate dpmix.py @ 2:41ef7e57c2fa

data -> galaxy.datatypes.data
author Richard Burhans <burhans@bx.psu.edu>
date Mon, 09 Apr 2012 15:27:28 -0400
parents 2c498d40ecde
children 22fe0154fa54
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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 sys
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5 import os
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6 import subprocess
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7 from Population import Population
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8 import gd_composite
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9 from dpmix_plot import make_dpmix_plot
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10
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11 ################################################################################
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12
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13 def mkdir_p(path):
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14 try:
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15 os.makedirs(path)
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16 except OSError, e:
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17 if e.errno <> errno.EEXIST:
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18 raise
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19
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20 def run_program(prog, args, stdout_file=None, space_to_tab=False):
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21 #print "args: ", ' '.join(args)
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22 p = subprocess.Popen(args, bufsize=-1, executable=prog, stdin=None, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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23 (stdoutdata, stderrdata) = p.communicate()
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24 rc = p.returncode
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25
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26 if stdout_file is not None:
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27 with open(stdout_file, 'w') as ofh:
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28 lines = stdoutdata.split('\n')
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29 for line in lines:
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30 line = line.strip()
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31 if line:
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32 if space_to_tab:
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33 line = line.replace(' ', '\t')
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34 print >> ofh, line
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35
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36 if rc != 0:
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37 print >> sys.stderr, "FAILED: rc={0}: {1}".format(rc, ' '.join(args))
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38 print >> sys.stderr, stderrdata
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39 sys.exit(1)
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40
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41 ################################################################################
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42
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43 if len(sys.argv) < 14:
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44 print "usage"
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45 sys.exit(1)
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46
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47 input, data_source, switch_penalty, ap1_input, ap2_input, p_input, output, output2, output2_dir, dbkey, ref_column, galaxy_data_index_dir = sys.argv[1:13]
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48 individual_metadata = sys.argv[13:]
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49
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50 chrom = 'all'
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51 analyze_additional = '0'
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52 add_logs = '0'
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53
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54 population_list = []
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55
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56 p_total = Population()
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57 p_total.from_tag_list(individual_metadata)
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58
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59 ap1 = Population(name='Ancestral population 1')
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60 ap1.from_population_file(ap1_input)
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61 population_list.append(ap1)
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62 if not p_total.is_superset(ap1):
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63 print >> sys.stderr, 'There is an individual in ancestral population 1 that is not in the SNP table'
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64 sys.exit(1)
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65
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66 ap2 = Population(name='Ancestral population 2')
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67 ap2.from_population_file(ap2_input)
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68 population_list.append(ap2)
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69 if not p_total.is_superset(ap2):
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70 print >> sys.stderr, 'There is an individual in ancestral population 2 that is not in the SNP table'
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71 sys.exit(1)
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72
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73 p = Population(name='Potentially admixed')
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74 p.from_population_file(p_input)
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75 population_list.append(p)
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76 if not p_total.is_superset(p):
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77 print >> sys.stderr, 'There is an individual in the population that is not in the SNP table'
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78 sys.exit(1)
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79
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80 mkdir_p(output2_dir)
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81
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82 ################################################################################
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83 # Create tabular file
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84 ################################################################################
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85
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86 misc_file = os.path.join(output2_dir, 'misc.txt')
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87
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88 prog = 'dpmix'
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89 args = [ prog ]
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90 args.append(input)
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91 args.append(ref_column)
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92 args.append(chrom)
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93 args.append(data_source)
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94 args.append(add_logs)
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95 args.append(switch_penalty)
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96 args.append(analyze_additional)
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97 args.append(misc_file)
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98
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99 columns = ap1.column_list()
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100 for column in columns:
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101 args.append('{0}:1:{1}'.format(column, ap1.individual_with_column(column).name))
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102
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103 columns = ap2.column_list()
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104 for column in columns:
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105 args.append('{0}:2:{1}'.format(column, ap2.individual_with_column(column).name))
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106
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107 columns = p.column_list()
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108 for column in columns:
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109 args.append('{0}:0:{1}'.format(column, p.individual_with_column(column).name))
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110
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111 run_program(None, args, stdout_file=output, space_to_tab=True)
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112
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113 ################################################################################
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114 # Create pdf file
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115 ################################################################################
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116
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117 pdf_file = os.path.join(output2_dir, 'dpmix.pdf')
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118 make_dpmix_plot(dbkey, output, pdf_file, galaxy_data_index_dir)
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119
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120 ################################################################################
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121 # Create html
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122 ################################################################################
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123
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124 info_page = gd_composite.InfoPage()
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125 info_page.set_title('dpmix Galaxy Composite Dataset')
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126
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127 display_file = gd_composite.DisplayFile()
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128 display_value = gd_composite.DisplayValue()
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129
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130 out_pdf = gd_composite.Parameter(name='dpmix.pdf', value='dpmix.pdf', display_type=display_file)
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131 out_misc = gd_composite.Parameter(name='misc.txt', value='misc.txt', display_type=display_file)
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132
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133 info_page.add_output_parameter(out_pdf)
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134 info_page.add_output_parameter(out_misc)
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135
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136 if data_source == '0':
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137 data_source_value = 'sequence coverage'
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138 elif data_source == '1':
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139 data_source_value = 'estimated genotype'
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140
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141 if analyze_additional == '0':
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142 analyze_additional_value = 'no'
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143 elif analyze_additional == '1':
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144 analyze_additional_value = 'yes'
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145
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146 in_data_source = gd_composite.Parameter(description='Data source', value=data_source_value, display_type=display_value)
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147 in_switch_penalty = gd_composite.Parameter(description='Switch penalty', value=switch_penalty, display_type=display_value)
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148 in_analyze_additional = gd_composite.Parameter(description='Also analyze random chromosome', value=analyze_additional_value, display_type=display_value)
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149
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150 info_page.add_input_parameter(in_data_source)
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151 info_page.add_input_parameter(in_switch_penalty)
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152 info_page.add_input_parameter(in_analyze_additional)
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153
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154 misc_populations = gd_composite.Parameter(name='Populations', value=population_list, display_type=gd_composite.DisplayPopulationList())
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155
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156 info_page.add_misc(misc_populations)
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157
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158 with open(output2, 'w') as ofh:
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159 print >> ofh, info_page.render()
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160
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161 sys.exit(0)
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