Mercurial > repos > pieterlukasse > prims_metabolomics
annotate combine_output.py @ 45:f3f203c3cd16
Added Deutrium
| author | pieter.lukasse@wur.nl |
|---|---|
| date | Sat, 15 Nov 2014 09:30:20 +0100 |
| parents | 19d8fd10248e |
| children |
| rev | line source |
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| 0 | 1 #!/usr/bin/env python |
| 2 # encoding: utf-8 | |
| 3 ''' | |
| 4 Module to combine output from two GCMS Galaxy tools (RankFilter and CasLookup) | |
| 5 ''' | |
| 6 | |
| 7 import csv | |
| 8 import re | |
| 9 import sys | |
| 10 import math | |
| 11 import pprint | |
| 12 | |
| 13 __author__ = "Marcel Kempenaar" | |
| 14 __contact__ = "brs@nbic.nl" | |
| 15 __copyright__ = "Copyright, 2012, Netherlands Bioinformatics Centre" | |
| 16 __license__ = "MIT" | |
| 17 | |
| 18 def _process_data(in_csv): | |
| 19 ''' | |
| 20 Generic method to parse a tab-separated file returning a dictionary with named columns | |
| 21 @param in_csv: input filename to be parsed | |
| 22 ''' | |
| 23 data = list(csv.reader(open(in_csv, 'rU'), delimiter='\t')) | |
| 24 header = data.pop(0) | |
| 25 # Create dictionary with column name as key | |
| 26 output = {} | |
| 27 for index in xrange(len(header)): | |
| 28 output[header[index]] = [row[index] for row in data] | |
| 29 return output | |
| 30 | |
| 31 | |
| 32 def _merge_data(rankfilter, caslookup): | |
| 33 ''' | |
| 34 Merges data from both input dictionaries based on the Centrotype field. This method will | |
| 35 build up a new list containing the merged hits as the items. | |
| 36 @param rankfilter: dictionary holding RankFilter output in the form of N lists (one list per attribute name) | |
| 37 @param caslookup: dictionary holding CasLookup output in the form of N lists (one list per attribute name) | |
| 38 ''' | |
| 39 # TODO: test for correct input files -> rankfilter and caslookup internal lists should have the same lenghts: | |
| 40 if (len(rankfilter['ID']) != len(caslookup['Centrotype'])): | |
| 41 raise Exception('rankfilter and caslookup files should have the same nr of rows/records ') | |
| 42 | |
| 43 merged = [] | |
| 44 processed = {} | |
| 45 for compound_id_idx in xrange(len(rankfilter['ID'])): | |
| 46 compound_id = rankfilter['ID'][compound_id_idx] | |
| 47 if not compound_id in processed : | |
| 48 # keep track of processed items to not repeat them | |
| 49 processed[compound_id] = compound_id | |
| 50 # get centrotype nr | |
| 51 centrotype = compound_id.split('-')[0] | |
| 52 # Get the indices for current compound ID in both data-structures for proper matching | |
| 53 rindex = [index for index, value in enumerate(rankfilter['ID']) if value == compound_id] | |
| 54 cindex = [index for index, value in enumerate(caslookup['Centrotype']) if value == centrotype] | |
| 55 | |
| 56 merged_hits = [] | |
| 57 # Combine hits | |
| 58 for hit in xrange(len(rindex)): | |
| 59 # Create records of hits to be merged ("keys" are the attribute names, so what the lines below do | |
| 60 # is create a new "dict" item with same "keys"/attributes, with each attribute filled with its | |
| 61 # corresponding value in the rankfilter or caslookup tables; i.e. | |
| 62 # rankfilter[key] => returns the list/array with size = nrrows, with the values for the attribute | |
| 63 # represented by "key". rindex[hit] => points to the row nr=hit (hit is a rownr/index) | |
| 64 rf_record = dict(zip(rankfilter.keys(), [rankfilter[key][rindex[hit]] for key in rankfilter.keys()])) | |
| 65 cl_record = dict(zip(caslookup.keys(), [caslookup[key][cindex[hit]] for key in caslookup.keys()])) | |
| 66 | |
| 67 merged_hit = _add_hit(rf_record, cl_record) | |
| 68 merged_hits.append(merged_hit) | |
| 69 | |
| 70 merged.append(merged_hits) | |
| 71 | |
| 72 return merged, len(rindex) | |
| 73 | |
| 74 | |
| 75 def _add_hit(rankfilter, caslookup): | |
| 76 ''' | |
| 77 Combines single records from both the RankFilter- and CasLookup-tools | |
| 78 @param rankfilter: record (dictionary) of one compound in the RankFilter output | |
| 79 @param caslookup: matching record (dictionary) of one compound in the CasLookup output | |
| 80 ''' | |
| 81 # The ID in the RankFilter output contains the following 5 fields: | |
| 82 rf_id = rankfilter['ID'].split('-') | |
| 83 try: | |
| 84 name, formula = _remove_formula(rankfilter['Name']) | |
| 85 hit = [rf_id[0], # Centrotype | |
| 86 rf_id[1], # cent.Factor | |
| 87 rf_id[2], # scan nr | |
| 88 rf_id[3], # R.T. (umin) | |
| 89 rf_id[4], # nr. Peaks | |
| 90 # Appending other fields | |
| 91 rankfilter['R.T.'], | |
| 92 name, | |
| 93 caslookup['FORMULA'] if not formula else formula, | |
| 94 rankfilter['Library'].strip(), | |
| 95 rankfilter['CAS'].strip(), | |
| 96 rankfilter['Forward'], | |
| 97 rankfilter['Reverse'], | |
| 98 ((float(rankfilter['Forward']) + float(rankfilter['Reverse'])) / 2), | |
| 99 rankfilter['RIexp'], | |
| 100 caslookup['RI'], | |
| 101 rankfilter['RIsvr'], | |
| 102 # Calculate absolute differences | |
| 103 math.fabs(float(rankfilter['RIexp']) - float(rankfilter['RIsvr'])), | |
| 104 math.fabs(float(caslookup['RI']) - float(rankfilter['RIexp'])), | |
| 105 caslookup['Regression.Column.Name'], | |
| 106 caslookup['min'], | |
| 107 caslookup['max'], | |
| 108 caslookup['nr.duplicates'], | |
| 109 caslookup['Column.phase.type'], | |
| 110 caslookup['Column.name'], | |
| 111 rankfilter['Rank'], | |
| 112 rankfilter['%rel.err'], | |
| 113 rankfilter['Synonyms']] | |
| 114 except KeyError as error: | |
| 115 print "Problem reading in data from input file(s):\n", | |
| 116 print "Respective CasLookup entry: \n", pprint.pprint(caslookup), "\n" | |
| 117 print "Respective RankFilter entry: \n", pprint.pprint(rankfilter), "\n" | |
| 118 raise error | |
| 119 | |
| 120 return hit | |
| 121 | |
| 122 | |
| 123 def _remove_formula(name): | |
| 124 ''' | |
| 125 The RankFilter Name field often contains the Formula as well, this function removes it from the Name | |
| 126 @param name: complete name of the compound from the RankFilter output | |
| 127 ''' | |
| 128 name = name.split() | |
| 129 poss_formula = name[-1] | |
| 130 match = re.match("^(([A-Z][a-z]{0,2})(\d*))+$", poss_formula) | |
| 131 if match: | |
| 132 return ' '.join(name[:-1]), poss_formula | |
| 133 else: | |
| 134 return ' '.join(name), False | |
| 135 | |
| 136 | |
| 137 def _get_default_caslookup(): | |
| 138 ''' | |
| 139 The Cas Lookup tool might not have found all compounds in the library searched, | |
| 140 this default dict will be used to combine with the Rank Filter output | |
| 141 ''' | |
| 142 return {'FORMULA': 'N/A', | |
| 143 'RI': '0.0', | |
| 144 'Regression.Column.Name': 'None', | |
| 145 'min': '0.0', | |
| 146 'max': '0.0', | |
| 147 'nr.duplicates': '0', | |
| 148 'Column.phase.type': 'N/A', | |
| 149 'Column.name': 'N/A'} | |
| 150 | |
| 151 | |
| 152 def _save_data(data, nhits, out_csv_single, out_csv_multi): | |
| 153 ''' | |
| 154 Writes tab-separated data to file | |
| 155 @param data: dictionary containing merged dataset | |
| 156 @param out_csv: output csv file | |
| 157 ''' | |
|
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158 # Columns we don't repeat: |
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159 header_part1 = ['Centrotype', |
| 0 | 160 'cent.Factor', |
| 161 'scan nr.', | |
| 162 'R.T. (umin)', | |
| 163 'nr. Peaks', | |
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164 'R.T.'] |
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165 # These are the headers/columns we repeat in case of |
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166 # combining hits in one line (see alternative_headers method below): |
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167 header_part2 = [ |
| 0 | 168 'Name', |
| 169 'FORMULA', | |
| 170 'Library', | |
| 171 'CAS', | |
| 172 'Forward', | |
| 173 'Reverse', | |
| 174 'Avg. (Forward, Reverse)', | |
| 175 'RIexp', | |
| 176 'RI', | |
| 177 'RIsvr', | |
| 178 'RIexp - RIsvr', | |
| 179 'RI - RIexp', | |
| 180 'Regression.Column.Name', | |
| 181 'min', | |
| 182 'max', | |
| 183 'nr.duplicates', | |
| 184 'Column.phase.type', | |
| 185 'Column.name', | |
| 186 'Rank', | |
| 187 '%rel.err', | |
| 188 'Synonyms'] | |
| 189 | |
| 190 # Open output file for writing | |
| 191 outfile_single_handle = open(out_csv_single, 'wb') | |
| 192 outfile_multi_handle = open(out_csv_multi, 'wb') | |
| 193 output_single_handle = csv.writer(outfile_single_handle, delimiter="\t") | |
| 194 output_multi_handle = csv.writer(outfile_multi_handle, delimiter="\t") | |
| 195 | |
| 196 # Write headers | |
|
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197 output_single_handle.writerow(header_part1 + header_part2) |
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198 output_multi_handle.writerow(header_part1 + header_part2 + alternative_headers(header_part2, nhits-1)) |
| 0 | 199 # Combine all hits for each centrotype into one line |
| 200 line = [] | |
| 201 for centrotype_idx in xrange(len(data)): | |
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202 i = 0 |
| 0 | 203 for hit in data[centrotype_idx]: |
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204 if i==0: |
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205 line.extend(hit) |
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206 else: |
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207 line.extend(hit[6:]) |
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208 i = i+1 |
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209 # small validation (if error, it is a programming error): |
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210 if i > nhits: |
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211 raise Exception('Error: more hits that expected for centrotype_idx ' + centrotype_idx) |
| 0 | 212 output_multi_handle.writerow(line) |
| 213 line = [] | |
| 214 | |
| 215 # Write one line for each centrotype | |
| 216 for centrotype_idx in xrange(len(data)): | |
| 217 for hit in data[centrotype_idx]: | |
| 218 output_single_handle.writerow(hit) | |
| 219 | |
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220 def alternative_headers(header_part2, nr_alternative_hits): |
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221 ''' |
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222 This method will iterate over the header names and add the string 'ALT#_' before each, |
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223 where # is the number of the alternative, according to number of alternative hits we want to add |
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224 to final csv/tsv |
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225 ''' |
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226 result = [] |
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227 for i in xrange(nr_alternative_hits): |
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228 for header_name in header_part2: |
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229 result.append("ALT" + str(i+1) + "_" + header_name) |
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230 return result |
| 0 | 231 |
| 232 def main(): | |
| 233 ''' | |
| 234 Combine Output main function | |
| 235 It will merge the result files from "RankFilter" and "Lookup RI for CAS numbers" | |
| 236 NB: the caslookup_result_file will typically have fewer lines than | |
| 237 rankfilter_result_file, so the merge has to consider this as well. The final file | |
| 238 should have the same nr of lines as rankfilter_result_file. | |
| 239 ''' | |
| 240 rankfilter_result_file = sys.argv[1] | |
| 241 caslookup_result_file = sys.argv[2] | |
| 242 output_single_csv = sys.argv[3] | |
| 243 output_multi_csv = sys.argv[4] | |
| 244 | |
| 245 # Read RankFilter and CasLookup output files | |
| 246 rankfilter = _process_data(rankfilter_result_file) | |
| 247 caslookup = _process_data(caslookup_result_file) | |
| 248 merged, nhits = _merge_data(rankfilter, caslookup) | |
| 249 _save_data(merged, nhits, output_single_csv, output_multi_csv) | |
| 250 | |
| 251 | |
| 252 if __name__ == '__main__': | |
| 253 main() |