Mercurial > repos > drosofff > fetch_fasta_from_ncbi
annotate retrieve_fasta_from_NCBI.py @ 1:79cb7620843d draft
planemo upload for repository https://github.com/ARTbio/tools-artbio/tree/master/tools/fetch_fasta_from_ncbi commit e0a1114b735bf1af257456174f64e5ef8d205754-dirty
author | drosofff |
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date | Wed, 28 Oct 2015 11:25:13 -0400 |
parents | 0bdc5a73c8d1 |
children | a9d8f69d59fb |
rev | line source |
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0
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1 #!/usr/bin/env python |
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2 # -*- coding: utf-8 -*- |
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3 """ |
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4 From a taxonomy ID retrieves all the nucleotide sequences |
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5 It returns a multiFASTA nuc/prot file |
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6 |
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7 Entrez Database UID common name E-utility Database Name |
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8 Nucleotide GI number nuccore |
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9 Protein GI number protein |
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10 |
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11 Retrieve strategy: |
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12 |
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13 esearch to get total number of UIDs (count) |
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14 esearch to get UIDs in batches |
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15 loop untile end of UIDs list: |
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16 epost to put a batch of UIDs in the history server |
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17 efetch to retrieve info from previous post |
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18 |
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19 retmax of efetch is 1/10 of declared value from NCBI |
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20 |
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21 queries are 1 sec delayed, to satisfy NCBI guidelines (more than what they request) |
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22 |
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23 |
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24 python get_fasta_from_taxon.py -i 1638 -o test.out -d protein |
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25 python get_fasta_from_taxon.py -i 327045 -o test.out -d nuccore # 556468 UIDs |
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26 """ |
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27 import sys |
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28 import logging |
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29 import optparse |
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30 import time |
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31 import urllib |
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32 import urllib2 |
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33 import httplib |
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34 import re |
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35 class Eutils: |
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36 |
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37 def __init__(self, options, logger): |
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38 self.logger = logger |
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39 self.base = "http://eutils.ncbi.nlm.nih.gov/entrez/eutils/" |
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40 self.query_string = options.query_string |
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41 self.dbname = options.dbname |
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42 if options.outname: |
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43 self.outname = options.outname |
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44 else: |
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45 self.outname = 'NCBI_download' + '.' + self.dbname + '.fasta' |
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46 self.ids = [] |
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47 self.retmax_esearch = 100000 |
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48 self.retmax_efetch = 1000 |
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49 self.count = 0 |
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50 self.webenv = "" |
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51 self.query_key = "" |
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52 |
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53 def retrieve(self): |
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54 """ """ |
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55 self.get_count_value() |
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56 self.get_uids_list() |
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57 self.get_sequences() |
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58 |
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59 def get_count_value(self): |
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60 """ |
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61 just to retrieve Count (number of UIDs) |
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62 Total number of UIDs from the retrieved set to be shown in the XML |
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63 output (default=20). By default, ESearch only includes the first 20 |
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64 UIDs retrieved in the XML output. If usehistory is set to 'y', |
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65 the remainder of the retrieved set will be stored on the History server; |
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66 |
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67 http://www.ncbi.nlm.nih.gov/books/NBK25499/#chapter4.EFetch |
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68 """ |
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69 self.logger.info("retrieving data from %s" % self.base) |
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70 self.logger.info("for Query: %s and database: %s" % |
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71 (self.query_string, self.dbname)) |
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72 querylog = self.esearch(self.dbname, self.query_string, '', '', "count") |
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73 self.logger.debug("Query response:") |
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74 for line in querylog: |
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75 self.logger.debug(line.rstrip()) |
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76 if '</Count>' in line: |
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77 self.count = int(line[line.find('<Count>')+len('<Count>') : line.find('</Count>')]) |
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78 self.logger.info("Founded %d UIDs" % self.count) |
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79 |
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80 def get_uids_list(self): |
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81 """ |
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82 Increasing retmax allows more of the retrieved UIDs to be included in the XML output, |
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83 up to a maximum of 100,000 records. |
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84 from http://www.ncbi.nlm.nih.gov/books/NBK25499/#chapter4.ESearch |
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85 """ |
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86 retmax = self.retmax_esearch |
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87 if (self.count > retmax): |
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88 num_batches = (self.count / retmax) + 1 |
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89 else: |
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90 num_batches = 1 |
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91 self.logger.info("Batch size for esearch action: %d UIDs" % retmax) |
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92 self.logger.info("Number of batches for esearch action: %d " % num_batches) |
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93 for n in range(num_batches): |
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94 querylog = self.esearch(self.dbname, self.query_string, n*retmax, retmax, '') |
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95 for line in querylog: |
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96 if '<Id>' in line and '</Id>' in line: |
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97 uid = (line[line.find('<Id>')+len('<Id>') : line.find('</Id>')]) |
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98 self.ids.append(uid) |
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99 self.logger.info("Retrieved %d UIDs" % len(self.ids)) |
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100 |
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101 def esearch(self, db, term, retstart, retmax, rettype): |
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102 url = self.base + "esearch.fcgi" |
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103 self.logger.debug("url: %s" % url) |
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104 values = {'db': db, |
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105 'term': term, |
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106 'rettype': rettype, |
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107 'retstart': retstart, |
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108 'retmax': retmax} |
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109 data = urllib.urlencode(values) |
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110 self.logger.debug("data: %s" % str(data)) |
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111 req = urllib2.Request(url, data) |
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112 response = urllib2.urlopen(req) |
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113 querylog = response.readlines() |
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114 time.sleep(1) |
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115 return querylog |
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116 |
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117 def epost(self, db, ids): |
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118 url = self.base + "epost.fcgi" |
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119 self.logger.debug("url_epost: %s" % url) |
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120 values = {'db': db, |
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121 'id': ids} |
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122 data = urllib.urlencode(values) |
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123 req = urllib2.Request(url, data) |
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124 #self.logger.debug("data: %s" % str(data)) |
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125 req = urllib2.Request(url, data) |
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126 serverResponse = False |
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127 while not serverResponse: |
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128 try: |
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129 response = urllib2.urlopen(req) |
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130 serverResponse = True |
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131 except: # catch *all* exceptions |
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132 e = sys.exc_info()[0] |
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133 self.logger.info( "Catched Error: %s" % e ) |
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134 self.logger.info( "Retrying in 10 sec") |
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135 time.sleep(10) |
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136 querylog = response.readlines() |
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137 self.logger.debug("query response:") |
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138 for line in querylog: |
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139 self.logger.debug(line.rstrip()) |
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140 if '</QueryKey>' in line: |
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141 self.query_key = str(line[line.find('<QueryKey>')+len('<QueryKey>'):line.find('</QueryKey>')]) |
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142 if '</WebEnv>' in line: |
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143 self.webenv = str(line[line.find('<WebEnv>')+len('<WebEnv>'):line.find('</WebEnv>')]) |
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144 self.logger.debug("*** epost action ***") |
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145 self.logger.debug("query_key: %s" % self.query_key) |
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146 self.logger.debug("webenv: %s" % self.webenv) |
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147 time.sleep(1) |
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148 |
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149 def efetch(self, db, query_key, webenv): |
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150 url = self.base + "efetch.fcgi" |
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151 self.logger.debug("url_efetch: %s" % url) |
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152 values = {'db': db, |
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153 'query_key': query_key, |
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154 'webenv': webenv, |
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155 'rettype': "fasta", |
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156 'retmode': "text"} |
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157 data = urllib.urlencode(values) |
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158 req = urllib2.Request(url, data) |
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159 self.logger.debug("data: %s" % str(data)) |
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160 req = urllib2.Request(url, data) |
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161 serverTransaction = False |
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162 counter = 0 |
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163 while not serverTransaction: |
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164 counter += 1 |
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165 self.logger.info("Server Transaction Trial: %s" % ( counter ) ) |
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166 try: |
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167 response = urllib2.urlopen(req) |
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168 fasta = response.read() |
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169 if ("Resource temporarily unavailable" in fasta) or (not fasta.startswith(">") ): |
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170 serverTransaction = False |
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171 else: |
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172 serverTransaction = True |
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173 except urllib2.HTTPError as e: |
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174 serverTransaction = False |
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175 self.logger.info("urlopen error:%s, %s" % (e.code, e.read() ) ) |
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176 except httplib.IncompleteRead as e: |
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177 serverTransaction = False |
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178 self.logger.info("IncompleteRead error: %s" % ( e.partial ) ) |
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179 fasta = self.sanitiser(self.dbname, fasta) # |
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180 time.sleep(1) |
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181 return fasta |
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182 |
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183 def sanitiser(self, db, fastaseq): |
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184 if db not in "nuccore protein" : return fastaseq |
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185 regex = re.compile(r"[ACDEFGHIKLMNPQRSTVWYBZ]{49,}") |
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186 sane_seqlist = [] |
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187 seqlist = fastaseq.split("\n\n") |
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188 for seq in seqlist[:-1]: |
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189 fastalines = seq.split("\n") |
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190 if len(fastalines) < 2: |
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191 self.logger.info("Empty sequence for %s" % ("|".join(fastalines[0].split("|")[:4]) ) ) |
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192 self.logger.info("%s download is skipped" % ("|".join(fastalines[0].split("|")[:4]) ) ) |
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193 continue |
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194 if db == "nuccore": |
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195 badnuc = 0 |
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196 for nucleotide in fastalines[1]: |
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197 if nucleotide not in "ATGC": |
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198 badnuc += 1 |
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199 if float(badnuc)/len(fastalines[1]) > 0.4: |
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200 self.logger.info("%s ambiguous nucleotides in %s or download interrupted at this offset | %s" % ( float(badnuc)/len(fastalines[1]), "|".join(fastalines[0].split("|")[:4]), fastalines[1]) ) |
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201 self.logger.info("%s download is skipped" % (fastalines[0].split("|")[:4]) ) |
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202 continue |
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203 fastalines[0] = fastalines[0].replace(" ","_")[:100] # remove spaces and trim the header to 100 chars |
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204 cleanseq = "\n".join(fastalines) |
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205 sane_seqlist.append(cleanseq) |
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206 elif db == "protein": |
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207 fastalines[0] = fastalines[0][0:100] |
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208 fastalines[0] = fastalines[0].replace(" ", "_") |
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209 fastalines[0] = fastalines[0].replace("[", "_") |
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210 fastalines[0] = fastalines[0].replace("]", "_") |
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211 fastalines[0] = fastalines[0].replace("=", "_") |
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212 fastalines[0] = fastalines[0].rstrip("_") # because blast makedb doesn't like it |
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213 fastalines[0] = re.sub(regex, "_", fastalines[0]) |
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214 cleanseq = "\n".join(fastalines) |
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215 sane_seqlist.append(cleanseq) |
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216 self.logger.info("clean sequences appended: %d" % (len(sane_seqlist) ) ) |
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217 return "\n".join(sane_seqlist) |
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218 |
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219 def get_sequences(self): |
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220 """ |
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221 Total number of records from the input set to be retrieved, up to a maximum |
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222 of 10,000. Optionally, for a large set the value of retstart can be iterated |
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223 while holding retmax constant, thereby downloading the entire set in batches |
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224 of size retmax. |
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225 |
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226 http://www.ncbi.nlm.nih.gov/books/NBK25499/#chapter4.EFetch |
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227 |
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228 """ |
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229 batch_size = self.retmax_efetch |
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230 count = self.count |
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231 uids_list = self.ids |
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232 self.logger.info("Batch size for efetch action: %d" % batch_size) |
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233 self.logger.info("Number of batches for efetch action: %d" % ((count / batch_size) + 1)) |
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234 with open(self.outname, 'w') as out: |
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235 for start in range(0, count, batch_size): |
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236 end = min(count, start+batch_size) |
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237 batch = uids_list[start:end] |
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238 self.epost(self.dbname, ",".join(batch)) |
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239 mfasta = '' |
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240 while not mfasta: |
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241 self.logger.info("retrieving batch %d" % ((start / batch_size) + 1)) |
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242 mfasta = self.efetch(self.dbname, self.query_key, self.webenv) |
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243 out.write(mfasta + '\n') |
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244 |
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245 |
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246 LOG_FORMAT = '%(asctime)s|%(levelname)-8s|%(message)s' |
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247 LOG_DATEFMT = '%Y-%m-%d %H:%M:%S' |
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248 LOG_LEVELS = ['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'] |
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249 |
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250 |
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251 def __main__(): |
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252 """ main function """ |
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253 parser = optparse.OptionParser(description='Retrieve data from NCBI') |
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254 parser.add_option('-i', dest='query_string', help='NCBI Query String') |
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255 parser.add_option('-o', dest='outname', help='output file name') |
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256 parser.add_option('-l', '--logfile', help='log file (default=stderr)') |
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257 parser.add_option('--loglevel', choices=LOG_LEVELS, default='INFO', help='logging level (default: INFO)') |
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258 parser.add_option('-d', dest='dbname', help='database type') |
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259 (options, args) = parser.parse_args() |
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260 if len(args) > 0: |
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261 parser.error('Wrong number of arguments') |
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262 |
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263 log_level = getattr(logging, options.loglevel) |
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264 kwargs = {'format': LOG_FORMAT, |
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265 'datefmt': LOG_DATEFMT, |
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266 'level': log_level} |
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267 if options.logfile: |
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268 kwargs['filename'] = options.logfile |
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269 logging.basicConfig(**kwargs) |
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270 logger = logging.getLogger('data_from_NCBI') |
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271 |
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272 E = Eutils(options, logger) |
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273 E.retrieve() |
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274 |
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275 |
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276 if __name__ == "__main__": |
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277 __main__() |