Mercurial > repos > davidvanzessen > argalaxy_tools
comparison shm_csr.py @ 4:5ffd52fc35c4 draft
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author | davidvanzessen |
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date | Mon, 12 Dec 2016 05:22:37 -0500 |
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3:beaa487ecf43 | 4:5ffd52fc35c4 |
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1 from __future__ import division | |
2 from collections import defaultdict | |
3 import re | |
4 import argparse | |
5 | |
6 parser = argparse.ArgumentParser() | |
7 parser.add_argument("--input", | |
8 help="The '7_V-REGION-mutation-and-AA-change-table' and '10_V-REGION-mutation-hotspots' merged together, with an added 'best_match' annotation") | |
9 parser.add_argument("--genes", help="The genes available in the 'best_match' column") | |
10 parser.add_argument("--empty_region_filter", help="Where does the sequence start?", choices=['leader', 'FR1', 'CDR1', 'FR2']) | |
11 parser.add_argument("--output", help="Output file") | |
12 | |
13 args = parser.parse_args() | |
14 | |
15 infile = args.input | |
16 genes = str(args.genes).split(",") | |
17 empty_region_filter = args.empty_region_filter | |
18 outfile = args.output | |
19 | |
20 genedic = dict() | |
21 | |
22 mutationdic = dict() | |
23 mutationMatcher = re.compile("^(.)(\d+).(.),?(.)?(\d+)?.?(.)?(.?.?.?.?.?)?") | |
24 NAMatchResult = (None, None, None, None, None, None, '') | |
25 linecount = 0 | |
26 | |
27 IDIndex = 0 | |
28 best_matchIndex = 0 | |
29 fr1Index = 0 | |
30 cdr1Index = 0 | |
31 fr2Index = 0 | |
32 cdr2Index = 0 | |
33 fr3Index = 0 | |
34 first = True | |
35 IDlist = [] | |
36 mutationList = [] | |
37 mutationListByID = {} | |
38 cdr1LengthDic = {} | |
39 cdr2LengthDic = {} | |
40 | |
41 with open(infile, 'r') as i: | |
42 for line in i: | |
43 if first: | |
44 linesplt = line.split("\t") | |
45 IDIndex = linesplt.index("Sequence.ID") | |
46 best_matchIndex = linesplt.index("best_match") | |
47 fr1Index = linesplt.index("FR1.IMGT") | |
48 cdr1Index = linesplt.index("CDR1.IMGT") | |
49 fr2Index = linesplt.index("FR2.IMGT") | |
50 cdr2Index = linesplt.index("CDR2.IMGT") | |
51 fr3Index = linesplt.index("FR3.IMGT") | |
52 cdr1LengthIndex = linesplt.index("CDR1.IMGT.length") | |
53 cdr2LengthIndex = linesplt.index("CDR2.IMGT.length") | |
54 first = False | |
55 continue | |
56 linecount += 1 | |
57 linesplt = line.split("\t") | |
58 ID = linesplt[IDIndex] | |
59 genedic[ID] = linesplt[best_matchIndex] | |
60 try: | |
61 mutationdic[ID + "_FR1"] = [mutationMatcher.match(x).groups() for x in linesplt[fr1Index].split("|") if x] if (linesplt[fr1Index] != "NA" and empty_region_filter == "leader") else [] | |
62 mutationdic[ID + "_CDR1"] = [mutationMatcher.match(x).groups() for x in linesplt[cdr1Index].split("|") if x] if (linesplt[cdr1Index] != "NA" and empty_region_filter in ["leader", "FR1"]) else [] | |
63 mutationdic[ID + "_FR2"] = [mutationMatcher.match(x).groups() for x in linesplt[fr2Index].split("|") if x] if (linesplt[fr2Index] != "NA" and empty_region_filter in ["leader", "FR1", "CDR1"]) else [] | |
64 mutationdic[ID + "_CDR2"] = [mutationMatcher.match(x).groups() for x in linesplt[cdr2Index].split("|") if x] if (linesplt[cdr2Index] != "NA") else [] | |
65 mutationdic[ID + "_FR2-CDR2"] = mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] | |
66 mutationdic[ID + "_FR3"] = [mutationMatcher.match(x).groups() for x in linesplt[fr3Index].split("|") if x] if linesplt[fr3Index] != "NA" else [] | |
67 except Exception as e: | |
68 print "Something went wrong while processing this line:" | |
69 print linesplt | |
70 print linecount | |
71 print e | |
72 mutationList += mutationdic[ID + "_FR1"] + mutationdic[ID + "_CDR1"] + mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] + mutationdic[ID + "_FR3"] | |
73 mutationListByID[ID] = mutationdic[ID + "_FR1"] + mutationdic[ID + "_CDR1"] + mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] + mutationdic[ID + "_FR3"] | |
74 | |
75 cdr1Length = linesplt[cdr1LengthIndex] | |
76 cdr2Length = linesplt[cdr2LengthIndex] | |
77 | |
78 cdr1LengthDic[ID] = int(cdr1Length) if cdr1Length != "X" else 0 | |
79 cdr2LengthDic[ID] = int(cdr2Length) if cdr2Length != "X" else 0 | |
80 | |
81 IDlist += [ID] | |
82 | |
83 AALength = (int(max(mutationList, key=lambda i: int(i[4]) if i[4] else 0)[4]) + 1) # [4] is the position of the AA mutation, None if silent | |
84 if AALength < 60: | |
85 AALength = 64 | |
86 | |
87 AA_mutation = [0] * AALength | |
88 AA_mutation_dic = {"IGA": AA_mutation[:], "IGG": AA_mutation[:], "IGM": AA_mutation[:], "IGE": AA_mutation[:], "unm": AA_mutation[:], "all": AA_mutation[:]} | |
89 AA_mutation_empty = AA_mutation[:] | |
90 | |
91 aa_mutations_by_id_file = outfile[:outfile.rindex("/")] + "/aa_id_mutations.txt" | |
92 with open(aa_mutations_by_id_file, 'w') as o: | |
93 o.write("ID\tbest_match\t" + "\t".join([str(x) for x in range(1,AALength)]) + "\n") | |
94 for ID in mutationListByID.keys(): | |
95 AA_mutation_for_ID = AA_mutation_empty[:] | |
96 for mutation in mutationListByID[ID]: | |
97 if mutation[4]: | |
98 AA_mutation_position = int(mutation[4]) | |
99 AA_mutation[AA_mutation_position] += 1 | |
100 AA_mutation_for_ID[AA_mutation_position] += 1 | |
101 clss = genedic[ID][:3] | |
102 AA_mutation_dic[clss][AA_mutation_position] += 1 | |
103 o.write(ID + "\t" + genedic[ID] + "\t" + "\t".join([str(x) for x in AA_mutation_for_ID[1:]]) + "\n") | |
104 | |
105 | |
106 | |
107 #absent AA stuff | |
108 absentAACDR1Dic = defaultdict(list) | |
109 absentAACDR1Dic[5] = range(29,36) | |
110 absentAACDR1Dic[6] = range(29,35) | |
111 absentAACDR1Dic[7] = range(30,35) | |
112 absentAACDR1Dic[8] = range(30,34) | |
113 absentAACDR1Dic[9] = range(31,34) | |
114 absentAACDR1Dic[10] = range(31,33) | |
115 absentAACDR1Dic[11] = [32] | |
116 | |
117 absentAACDR2Dic = defaultdict(list) | |
118 absentAACDR2Dic[0] = range(55,65) | |
119 absentAACDR2Dic[1] = range(56,65) | |
120 absentAACDR2Dic[2] = range(56,64) | |
121 absentAACDR2Dic[3] = range(57,64) | |
122 absentAACDR2Dic[4] = range(57,63) | |
123 absentAACDR2Dic[5] = range(58,63) | |
124 absentAACDR2Dic[6] = range(58,62) | |
125 absentAACDR2Dic[7] = range(59,62) | |
126 absentAACDR2Dic[8] = range(59,61) | |
127 absentAACDR2Dic[9] = [60] | |
128 | |
129 absentAA = [len(IDlist)] * (AALength-1) | |
130 for k, cdr1Length in cdr1LengthDic.iteritems(): | |
131 for c in absentAACDR1Dic[cdr1Length]: | |
132 absentAA[c] -= 1 | |
133 | |
134 for k, cdr2Length in cdr2LengthDic.iteritems(): | |
135 for c in absentAACDR2Dic[cdr2Length]: | |
136 absentAA[c] -= 1 | |
137 | |
138 | |
139 aa_mutations_by_id_file = outfile[:outfile.rindex("/")] + "/absent_aa_id.txt" | |
140 with open(aa_mutations_by_id_file, 'w') as o: | |
141 o.write("ID\tcdr1length\tcdr2length\tbest_match\t" + "\t".join([str(x) for x in range(1,AALength)]) + "\n") | |
142 for ID in IDlist: | |
143 absentAAbyID = [1] * (AALength-1) | |
144 cdr1Length = cdr1LengthDic[ID] | |
145 for c in absentAACDR1Dic[cdr1Length]: | |
146 absentAAbyID[c] -= 1 | |
147 | |
148 cdr2Length = cdr2LengthDic[ID] | |
149 for c in absentAACDR2Dic[cdr2Length]: | |
150 absentAAbyID[c] -= 1 | |
151 o.write(ID + "\t" + str(cdr1Length) + "\t" + str(cdr2Length) + "\t" + genedic[ID] + "\t" + "\t".join([str(x) for x in absentAAbyID]) + "\n") | |
152 | |
153 if linecount == 0: | |
154 print "No data, exiting" | |
155 with open(outfile, 'w') as o: | |
156 o.write("RGYW (%)," + ("0,0,0\n" * len(genes))) | |
157 o.write("WRCY (%)," + ("0,0,0\n" * len(genes))) | |
158 o.write("WA (%)," + ("0,0,0\n" * len(genes))) | |
159 o.write("TW (%)," + ("0,0,0\n" * len(genes))) | |
160 import sys | |
161 | |
162 sys.exit() | |
163 | |
164 hotspotMatcher = re.compile("[actg]+,(\d+)-(\d+)\((.*)\)") | |
165 RGYWCount = {} | |
166 WRCYCount = {} | |
167 WACount = {} | |
168 TWCount = {} | |
169 | |
170 #IDIndex = 0 | |
171 ataIndex = 0 | |
172 tatIndex = 0 | |
173 aggctatIndex = 0 | |
174 atagcctIndex = 0 | |
175 first = True | |
176 with open(infile, 'r') as i: | |
177 for line in i: | |
178 if first: | |
179 linesplt = line.split("\t") | |
180 ataIndex = linesplt.index("X.a.t.a") | |
181 tatIndex = linesplt.index("t.a.t.") | |
182 aggctatIndex = linesplt.index("X.a.g.g.c.t..a.t.") | |
183 atagcctIndex = linesplt.index("X.a.t..a.g.c.c.t.") | |
184 first = False | |
185 continue | |
186 linesplt = line.split("\t") | |
187 gene = linesplt[best_matchIndex] | |
188 ID = linesplt[IDIndex] | |
189 RGYW = [(int(x), int(y), z) for (x, y, z) in | |
190 [hotspotMatcher.match(x).groups() for x in linesplt[aggctatIndex].split("|") if x]] | |
191 WRCY = [(int(x), int(y), z) for (x, y, z) in | |
192 [hotspotMatcher.match(x).groups() for x in linesplt[atagcctIndex].split("|") if x]] | |
193 WA = [(int(x), int(y), z) for (x, y, z) in | |
194 [hotspotMatcher.match(x).groups() for x in linesplt[ataIndex].split("|") if x]] | |
195 TW = [(int(x), int(y), z) for (x, y, z) in | |
196 [hotspotMatcher.match(x).groups() for x in linesplt[tatIndex].split("|") if x]] | |
197 RGYWCount[ID], WRCYCount[ID], WACount[ID], TWCount[ID] = 0, 0, 0, 0 | |
198 | |
199 mutationList = mutationdic[ID + "_FR1"] + mutationdic[ID + "_CDR1"] + mutationdic[ID + "_FR2"] + mutationdic[ID + "_CDR2"] + mutationdic[ID + "_FR3"] | |
200 for mutation in mutationList: | |
201 frm, where, to, AAfrm, AAwhere, AAto, junk = mutation | |
202 mutation_in_RGYW = any([(start <= int(where) <= end) for (start, end, region) in RGYW]) | |
203 mutation_in_WRCY = any([(start <= int(where) <= end) for (start, end, region) in WRCY]) | |
204 mutation_in_WA = any([(start <= int(where) <= end) for (start, end, region) in WA]) | |
205 mutation_in_TW = any([(start <= int(where) <= end) for (start, end, region) in TW]) | |
206 | |
207 in_how_many_motifs = sum([mutation_in_RGYW, mutation_in_WRCY, mutation_in_WA, mutation_in_TW]) | |
208 | |
209 if in_how_many_motifs > 0: | |
210 RGYWCount[ID] += (1.0 * int(mutation_in_RGYW)) / in_how_many_motifs | |
211 WRCYCount[ID] += (1.0 * int(mutation_in_WRCY)) / in_how_many_motifs | |
212 WACount[ID] += (1.0 * int(mutation_in_WA)) / in_how_many_motifs | |
213 TWCount[ID] += (1.0 * int(mutation_in_TW)) / in_how_many_motifs | |
214 | |
215 | |
216 def mean(lst): | |
217 return (float(sum(lst)) / len(lst)) if len(lst) > 0 else 0.0 | |
218 | |
219 | |
220 def median(lst): | |
221 lst = sorted(lst) | |
222 l = len(lst) | |
223 if l == 0: | |
224 return 0 | |
225 if l == 1: | |
226 return lst[0] | |
227 | |
228 l = int(l / 2) | |
229 | |
230 if len(lst) % 2 == 0: | |
231 return float(lst[l] + lst[(l - 1)]) / 2.0 | |
232 else: | |
233 return lst[l] | |
234 | |
235 funcs = {"mean": mean, "median": median, "sum": sum} | |
236 | |
237 directory = outfile[:outfile.rfind("/") + 1] | |
238 value = 0 | |
239 valuedic = dict() | |
240 | |
241 for fname in funcs.keys(): | |
242 for gene in genes: | |
243 with open(directory + gene + "_" + fname + "_value.txt", 'r') as v: | |
244 valuedic[gene + "_" + fname] = float(v.readlines()[0].rstrip()) | |
245 with open(directory + "all_" + fname + "_value.txt", 'r') as v: | |
246 valuedic["total_" + fname] = float(v.readlines()[0].rstrip()) | |
247 | |
248 | |
249 def get_xyz(lst, gene, f, fname): | |
250 x = round(round(f(lst), 1)) | |
251 y = valuedic[gene + "_" + fname] | |
252 z = str(round(x / float(y) * 100, 1)) if y != 0 else "0" | |
253 return (str(x), str(y), z) | |
254 | |
255 dic = {"RGYW": RGYWCount, "WRCY": WRCYCount, "WA": WACount, "TW": TWCount} | |
256 arr = ["RGYW", "WRCY", "WA", "TW"] | |
257 | |
258 geneMatchers = {gene: re.compile("^" + gene + ".*") for gene in genes} | |
259 | |
260 for fname in funcs.keys(): | |
261 func = funcs[fname] | |
262 foutfile = outfile[:outfile.rindex("/")] + "/hotspot_analysis_" + fname + ".txt" | |
263 with open(foutfile, 'w') as o: | |
264 for typ in arr: | |
265 o.write(typ + " (%)") | |
266 curr = dic[typ] | |
267 for gene in genes: | |
268 geneMatcher = geneMatchers[gene] | |
269 if valuedic[gene + "_" + fname] is 0: | |
270 o.write(",0,0,0") | |
271 else: | |
272 x, y, z = get_xyz([curr[x] for x in [y for y, z in genedic.iteritems() if geneMatcher.match(z)]], gene, func, fname) | |
273 o.write("," + x + "," + y + "," + z) | |
274 x, y, z = get_xyz([y for x, y in curr.iteritems() if not genedic[x].startswith("unmatched")], "total", func, fname) | |
275 #x, y, z = get_xyz([y for x, y in curr.iteritems()], "total", func, fname) | |
276 o.write("," + x + "," + y + "," + z + "\n") | |
277 | |
278 | |
279 # for testing | |
280 seq_motif_file = outfile[:outfile.rindex("/")] + "/motif_per_seq.txt" | |
281 with open(seq_motif_file, 'w') as o: | |
282 o.write("ID\tRGYW\tWRCY\tWA\tTW\n") | |
283 for ID in IDlist: | |
284 #o.write(ID + "\t" + str(round(RGYWCount[ID], 2)) + "\t" + str(round(WRCYCount[ID], 2)) + "\t" + str(round(WACount[ID], 2)) + "\t" + str(round(TWCount[ID], 2)) + "\n") | |
285 o.write(ID + "\t" + str(RGYWCount[ID]) + "\t" + str(WRCYCount[ID]) + "\t" + str(WACount[ID]) + "\t" + str(TWCount[ID]) + "\n") |