1 | #!/usr/bin/env python |
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2 | |
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3 | """ |
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4 | tax_read_grouping.py <file in taxonomy format> <id column> <taxonomic ranks> <output format> <output file> |
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5 | finds reads that only hit one taxonomic group. For example, consider the folliowing example: |
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6 | |
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7 | read1 mammalia |
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8 | read1 insecta |
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9 | read2 insecta |
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10 | |
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11 | in this case only read2 will be selected becuase it stays within insecta |
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12 | |
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13 | This program takes the following options: |
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14 | |
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15 | file in taxonomy format - dataset that complies with Galaxy's taxonomy format |
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16 | id column - integer specifying the number of column containing seq id (starting with 1) |
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17 | taxonomic ranks - a comma separated list of ranks from this list: |
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18 | |
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19 | superkingdom |
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20 | kingdom |
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21 | subkingdom |
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22 | superphylum |
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23 | phylum |
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24 | subphylum |
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25 | superclass |
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26 | class |
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27 | subclass |
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28 | superorder |
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29 | order |
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30 | suborder |
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31 | superfamily |
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32 | family |
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33 | subfamily |
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34 | tribe |
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35 | subtribe |
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36 | genus |
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37 | subgenus |
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38 | species |
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39 | subspecies |
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40 | |
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41 | output format - reads or counts |
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42 | |
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43 | """ |
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44 | |
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45 | from galaxy import eggs |
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46 | import pkg_resources |
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47 | pkg_resources.require( 'pysqlite' ) |
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48 | from pysqlite2 import dbapi2 as sqlite |
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49 | import string, sys, tempfile |
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50 | |
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51 | # This dictionary maps taxonomic ranks to fields of Taxonomy file |
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52 | taxRank = { |
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53 | 'root' :2, |
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54 | 'superkingdom':3, |
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55 | 'kingdom' :4, |
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56 | 'subkingdom' :5, |
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57 | 'superphylum' :6, |
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58 | 'phylum' :7, |
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59 | 'subphylum' :8, |
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60 | 'superclass' :9, |
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61 | 'class' :10, |
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62 | 'subclass' :11, |
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63 | 'superorder' :12, |
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64 | 'ord' :13, |
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65 | 'suborder' :14, |
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66 | 'superfamily' :15, |
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67 | 'family' :16, |
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68 | 'subfamily' :17, |
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69 | 'tribe' :18, |
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70 | 'subtribe' :19, |
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71 | 'genus' :20, |
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72 | 'subgenus' :21, |
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73 | 'species' :22, |
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74 | 'subspecies' :23, |
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75 | 'order' :13 |
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76 | } |
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77 | |
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78 | |
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79 | def stop_err(msg): |
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80 | sys.stderr.write(msg) |
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81 | sys.exit() |
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82 | |
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83 | |
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84 | db = tempfile.NamedTemporaryFile('w') |
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85 | |
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86 | try: |
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87 | con = sqlite.connect(db.name) |
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88 | cur = con.cursor() |
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89 | except: |
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90 | stop_err('Cannot connect to %s\n') % db.name |
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91 | |
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92 | try: |
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93 | tax_file = open(sys.argv[1], 'r') |
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94 | id_col = int(sys.argv[2]) - 1 |
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95 | taxa = string.split(sys.argv[3].rstrip(),',') |
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96 | |
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97 | if sys.argv[4] == 'reads': |
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98 | out_format = True |
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99 | elif sys.argv[4] == 'counts': |
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100 | out_format = False |
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101 | else: |
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102 | stop_err('Please specify "reads" or "counts" for output format\n') |
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103 | out_file = open(sys.argv[5], 'w') |
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104 | |
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105 | except: |
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106 | stop_err('Check arguments\n') |
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107 | |
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108 | if taxa[0] == 'None': stop_err('Please, use checkboxes to specify taxonomic ranks.\n') |
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109 | |
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110 | sql = "" |
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111 | for i in range(len(taxa)): |
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112 | if taxa[i] == 'order': taxa[i] = 'ord' # SQL does not like fields to be named 'order' |
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113 | sql += '%s text, ' % taxa[i] |
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114 | |
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115 | sql = sql.strip(', ') |
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116 | sql = 'create table tax (name varchar(50) not null, ' + sql + ')' |
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117 | |
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118 | |
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119 | cur.execute(sql) |
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120 | |
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121 | invalid_line_number = 0 |
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122 | |
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123 | try: |
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124 | for line in tax_file: |
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125 | fields = string.split(line.rstrip(), '\t') |
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126 | if len(fields) < 24: |
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127 | invalid_line_number += 1 |
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128 | continue # Skipping malformed taxonomy lines |
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129 | |
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130 | val_string = '"' + fields[id_col] + '", ' |
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131 | |
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132 | for rank in taxa: |
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133 | taxon = fields[taxRank[rank]] |
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134 | val_string += '"%s", ' % taxon |
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135 | |
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136 | val_string = val_string.strip(', ') |
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137 | val_string = "insert into tax values(" + val_string + ")" |
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138 | cur.execute(val_string) |
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139 | except Exception, e: |
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140 | stop_err('%s\n' % e) |
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141 | |
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142 | tax_file.close() |
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143 | |
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144 | try: |
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145 | for rank in taxa: |
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146 | cur.execute('create temporary table %s (name varchar(50), id text, rank text)' % rank ) |
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147 | cur.execute('insert into %s select name, name || %s as id, %s from tax group by id' % ( rank, rank, rank ) ) |
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148 | cur.execute('create temporary table %s_count(name varchar(50), id text, rank text, N int)' % rank) |
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149 | cur.execute('insert into %s_count select name, id, rank, count(*) from %s group by name' % ( rank, rank) ) |
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150 | |
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151 | if rank == 'ord': |
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152 | rankName = 'order' |
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153 | else: |
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154 | rankName = rank |
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155 | |
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156 | if out_format: |
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157 | cur.execute('select name,rank from %s_count where N = 1 and length(rank)>1' % rank) |
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158 | for item in cur.fetchall(): |
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159 | out_string = '%s\t%s\t' % ( item[0], item[1] ) |
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160 | out_string += rankName |
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161 | print >>out_file, out_string |
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162 | else: |
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163 | cur.execute('select rank, count(*) from %s_count where N = 1 and length(rank)>1 group by rank' % rank) |
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164 | for item in cur.fetchall(): |
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165 | out_string = '%s\t%s\t' % ( item[0], item[1] ) |
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166 | out_string += rankName |
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167 | print >>out_file, out_string |
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168 | except Exception, e: |
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169 | stop_err("%s\n" % e) |
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170 | |
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