annotate phylogenies/phytab_raxml.py @ 0:5b9a38ec4a39 draft default tip

First commit of old repositories
author osiris_phylogenetics <ucsb_phylogenetics@lifesci.ucsb.edu>
date Tue, 11 Mar 2014 12:19:13 -0700
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1 #!/usr/bin/env python
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2
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3 ##
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4 ## This tool runs RAxML on each partition/gene in a PHYTAB file.
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5 ## If N = # of nodes requested in job runner, then N RAxML jobs will run simultaneously. Make sure that the
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6 ## number of processors ('ppn') in the job runner matches the 'numthreads' value set in command line arguement.
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7 ##
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8 ## Usage: ./phytab_raxml.py -i <phytabinput> -e <model> -f <modelfile> -T 4
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9 ## example: ./phytab_raxml.py -i myphytab.txt -e PROTGAMMAWAG -f None -T 4
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10 ## or: ./phytab_raxml.py -i myphtab.txt -e None -f modelsforeachpartition.txt -T 4
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11
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12 import optparse
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13 import os
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14 import subprocess
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15 import multiprocessing
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16
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17 RESULTS_DIR = 'results'
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18 RESULTS_FILE = 'results.phy'
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19 RAXML_PREFIX = 'RAxML_result.'
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20
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21 def unescape(string):
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22 mapped_chars = {
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23 '>': '__gt__',
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24 '<': '__lt__',
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25 "'": '__sq__',
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26 '"': '__dq__',
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27 '[': '__ob__',
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28 ']': '__cb__',
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29 '{': '__oc__',
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30 '}': '__cc__',
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31 '@': '__at__',
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32 '\n': '__cn__',
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33 '\r': '__cr__',
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34 '\t': '__tc__',
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35 '#': '__pd__'
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36 }
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37
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38 for key, value in mapped_chars.iteritems():
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39 string = string.replace(value, key)
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40
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41 return string
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42
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43
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44 class Species:
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45 def __init__(self, string):
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46 lis = string.split('\t')
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47 # print lis
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48 self.species = lis[0]
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49 self.gene = lis[1]
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50 self.name = lis[2]
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51 self.sequence = lis[3]
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52
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53 def toString(self):
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54 return self.species + '\t' + self.sequence
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55
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56
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57 class Gene:
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58 def __init__(self, name):
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59 self.name = name
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60 self.count = 0
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61 self.length = 0
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62 self.species = []
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63
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64 def output(self):
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65 file_name = self.name + ".phy"
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66 location = RESULTS_DIR + os.sep + file_name
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67 with open(location, 'w') as f:
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68 f.write(str(self.count) + '\t' + str(self.length) + '\n')
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69 for s in self.species:
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70 f.write(s.toString())
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71 return file_name
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72
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73 def add(self, species):
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74 if species.name == "":
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75 return
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76 self.species.append(species)
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77 self.count += 1
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78 if self.length == 0:
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79 self.length = len(species.sequence) - 1
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80
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81
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82 def output_species(species):
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83 file_name = species.gene + ".phy"
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84 location = RESULTS_DIR + os.sep + file_name
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85 with open(location, 'a') as f:
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86 f.write(species.toString())
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87 return file_name
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88
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89
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90 def process_phytab(input):
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91 files = set()
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92 genes = dict()
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93 with open(input) as f:
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94 for line in f:
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95 if len(line) < 4:
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96 continue
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97 species = Species(line)
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98 if species.gene in genes:
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99 genes[species.gene].add(species)
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100 else:
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101 gene = Gene(species.gene)
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102 gene.add(species)
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103 genes[gene.name] = gene
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104 for k, gene in genes.iteritems():
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105 files.add(gene.output())
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106 return files
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107
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108
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109 def runRaxml(list_of_files, evo, evoDict, NUMTHREADS):
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110 count = 0
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111 list_of_files = sorted(list_of_files)
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112 for gene_file in list_of_files:
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113 count+=1
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114 if gene_file.split(".")[0] in evoDict:
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115 newEvo = evoDict[gene_file.split(".")[0]]
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116 else:
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117 newEvo = evo
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118 file_name = RESULTS_DIR + os.sep + gene_file
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119 ## RAxML notes: ##
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120 # to run parsimony trees:
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121 # popen = subprocess.Popen(['raxmlHPC-PTHREADS', '-T', cpu_count,'-f', 'd', '-s', file_name,'-y', '-m', newEvo, '-n', gene_file[:-4]+'.tre', '-p', '34'])
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122 # to run likelihood trees:
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123 # popen = subprocess.Popen(['raxmlHPC-PTHREADS', "-T", cpu_count, "-s", file_name, '-m', newEvo, '-n', gene_file[:-4], '-p', '34'])
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124 # to run likelihood trees using starting tree:
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125 # popen = subprocess.Popen(['raxmlHPC-PTHREADS', '-T', cpu_count, '-f', 'e','-s', file_name, '-m', newEvo, '-n', gene_file[:-4], '-t', ptre])
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126
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127 ## run trees as simultaneously as possible--but wait until last tree completes to resume script
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128 raxml_cmd = ['raxmlHPC-PTHREADS', '-T', NUMTHREADS, '-s', file_name, '-m', newEvo, '-n', gene_file[:-4], '-p', '34']
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129 if count == len(list_of_files):
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130 run = subprocess.Popen(raxml_cmd)
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131 run.wait()
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132 else:
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133 run = subprocess.Popen(raxml_cmd)
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134 run.communicate()[0]
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135
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136
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137 def readEfile(efile):
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138 evoDict = {}
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139 with open(efile, "r") as f:
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140 for line in f:
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141 pair = line.split("\t")
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142 evoDict[pair[0].strip()] = pair[1].strip()
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143 return evoDict
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144
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145 def main():
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146 usage = """%prog [options]
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147 options (listed below) default to 'None' if omitted
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148 """
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149 parser = optparse.OptionParser(usage=usage)
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150
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151 parser.add_option(
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152 '-i', '--in',
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153 dest='input',
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154 action='store',
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155 type='string',
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156 metavar="FILE",
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157 help='Name of input data.')
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158
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159 parser.add_option(
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160 '-e', '--evo',
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161 dest='evo',
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162 action='store',
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163 type='string',
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164 metavar="EVO",
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165 help='Evolution model.')
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166
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167 parser.add_option(
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168 '-f', '--evo-file',
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169 dest='efile',
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170 action='store',
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171 type='string',
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172 metavar="EVO_FILE",
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173 help='Evolution model file. Format is gene_name [tab] evolution_model.')
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174
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175 parser.add_option(
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176 '-T', '--numthreads',
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177 dest='numthreads',
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178 action='store',
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179 type='int',
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180 metavar="NUMT",
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181 help='Specify number of threads.')
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182
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183 options, args = parser.parse_args()
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184
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185 os.mkdir(RESULTS_DIR)
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186
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187 list_of_species_files = process_phytab(unescape(options.input))
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188
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189 try:
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190 evoDict = readEfile(unescape(options.efile))
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191 except IOError:
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192 print "No sequence model file provide...using", unescape(options.evo), "as the model"
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193 evoDict = {}
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194
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195 runRaxml(list_of_species_files, unescape(options.evo), evoDict, str(options.numthreads))
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196
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197 result = [file for file in os.listdir('./') if file.startswith(RAXML_PREFIX)]
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198 result = sorted(result)
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199 with open(RESULTS_DIR + os.sep + RESULTS_FILE, "w") as f:
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200 for file in result:
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201 with open(file, "r") as r:
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202 f.write(file[len(RAXML_PREFIX):] + '\t' + r.read())
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203
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204 if __name__ == '__main__':
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205 main()
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206