Mercurial > repos > davidvanzessen > imgt_loader_igg
comparison imgtconvert.py @ 4:021d39f6bb0e draft
Uploaded
author | davidvanzessen |
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date | Fri, 06 Jun 2014 04:34:44 -0400 |
parents | 191d0df65d28 |
children | 387fce4a1dd4 |
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3:191d0df65d28 | 4:021d39f6bb0e |
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30 | 30 |
31 dirContents = os.listdir(inputFolder) | 31 dirContents = os.listdir(inputFolder) |
32 if len(dirContents) == 1: | 32 if len(dirContents) == 1: |
33 inputFolder = os.path.join(inputFolder, dirContents[0]) | 33 inputFolder = os.path.join(inputFolder, dirContents[0]) |
34 if os.path.isdir(inputFolder): | 34 if os.path.isdir(inputFolder): |
35 print "is dir" | |
36 dirContents = os.listdir(inputFolder) | 35 dirContents = os.listdir(inputFolder) |
37 files = sorted([os.path.join(inputFolder, f) for f in dirContents]) | 36 files = sorted([os.path.join(inputFolder, f) for f in dirContents if os.path.isfile(os.path.join(inputFolder, f))]) |
38 | 37 |
39 if len(files) % 3 is not 0: | 38 if len(files) % 3 is not 0: |
40 stop_err("Files in zip not a multiple of 3, it should contain the all the 1_, 5_ and 6_ files for a sample") | 39 stop_err("Files in zip not a multiple of 3, it should contain the all the 1_, 5_ and 6_ files for a sample") |
41 import sys | 40 import sys |
42 sys.exit() | 41 sys.exit() |
76 for col in added_junction_columns: | 75 for col in added_junction_columns: |
77 tmp[col] = fJunction[col] | 76 tmp[col] = fJunction[col] |
78 | 77 |
79 outFrame = tmp | 78 outFrame = tmp |
80 | 79 |
80 | |
81 | |
81 for triple in triplets[1:]: | 82 for triple in triplets[1:]: |
82 fSummary = pd.read_csv(triple[0], sep="\t") | 83 fSummary = pd.read_csv(triple[0], sep="\t") |
83 fSequence = pd.read_csv(triple[1], sep="\t") | 84 fSequence = pd.read_csv(triple[1], sep="\t") |
84 fJunction = pd.read_csv(triple[2], sep="\t") | 85 fJunction = pd.read_csv(triple[2], sep="\t") |
85 | 86 |
108 for col in added_junction_columns: | 109 for col in added_junction_columns: |
109 tmp[col] = fJunction[col] | 110 tmp[col] = fJunction[col] |
110 | 111 |
111 outFrame = outFrame.append(tmp) | 112 outFrame = outFrame.append(tmp) |
112 | 113 |
114 | |
113 outFrame.columns = [u'ID', u'VDJ Frame', u'Top V Gene', u'Top D Gene', u'Top J Gene', u'CDR1 Seq', u'CDR1 Length', u'CDR2 Seq', u'CDR2 Length', u'CDR3 Seq', u'CDR3 Length', u'CDR3 Seq DNA', u'CDR3 Length DNA', u'Strand', u'CDR3 Found How', u'Functionality', 'V-REGION identity %', 'V-REGION identity nt', 'D-REGION reading frame', 'AA JUNCTION', 'Functionality comment', 'Sequence', 'FR1-IMGT', 'FR2-IMGT', 'FR3-IMGT', 'CDR3-IMGT', 'JUNCTION', 'J-REGION', 'FR4-IMGT', 'P3V-nt nb', 'N1-REGION-nt nb', 'P5D-nt nb', 'P3D-nt nb', 'N2-REGION-nt nb', 'P5J-nt nb', '3V-REGION trimmed-nt nb', '5D-REGION trimmed-nt nb', '3D-REGION trimmed-nt nb', '5J-REGION trimmed-nt nb'] | 115 outFrame.columns = [u'ID', u'VDJ Frame', u'Top V Gene', u'Top D Gene', u'Top J Gene', u'CDR1 Seq', u'CDR1 Length', u'CDR2 Seq', u'CDR2 Length', u'CDR3 Seq', u'CDR3 Length', u'CDR3 Seq DNA', u'CDR3 Length DNA', u'Strand', u'CDR3 Found How', u'Functionality', 'V-REGION identity %', 'V-REGION identity nt', 'D-REGION reading frame', 'AA JUNCTION', 'Functionality comment', 'Sequence', 'FR1-IMGT', 'FR2-IMGT', 'FR3-IMGT', 'CDR3-IMGT', 'JUNCTION', 'J-REGION', 'FR4-IMGT', 'P3V-nt nb', 'N1-REGION-nt nb', 'P5D-nt nb', 'P3D-nt nb', 'N2-REGION-nt nb', 'P5J-nt nb', '3V-REGION trimmed-nt nb', '5D-REGION trimmed-nt nb', '3D-REGION trimmed-nt nb', '5J-REGION trimmed-nt nb'] |
114 | 116 |
115 #vPattern = re.compile(r"|TRBV[0-9]{1,2}-?[0-9]?") #mouse | 117 """ |
116 #vPattern = re.compile(r"IGHV[1-9]-[0-9ab]+-?[1-9]?") #human | 118 IGHV[0-9]-[0-9ab]+-?[0-9]?D? |
117 vPattern = re.compile(r"IGHV[1-9]-[0-9ab]+-?[1-9]?|TRBV[0-9]{1,2}-?[0-9]?") #mouse and human | 119 TRBV[0-9]{1,2}-?[0-9]?-?[123]? |
120 IGKV[0-3]D?-[0-9]{1,2} | |
121 IGLV[0-9]-[0-9]{1,2} | |
122 TRAV[0-9]{1,2}(-[1-46])?(/DV[45678])? | |
123 TRGV[234589] | |
124 TRDV[1-3] | |
118 | 125 |
119 #dPattern = re.compile(r"TRBD1|TRBD2") #mouse | 126 IGHD[0-9]-[0-9ab]+ |
120 #dPattern = re.compile(r"IGHD[1-9]-[0-9ab]+") #human | 127 TRBD[12] |
121 dPattern = re.compile(r"IGHD[1-9]-[0-9ab]+|TRBD1|TRBD2") #mouse and human | 128 TRDD[1-3] |
122 | 129 |
130 IGHJ[1-6] | |
131 TRBJ[12]-[1-7] | |
132 IGKJ[1-5] | |
133 IGLJ[12367] | |
134 TRAJ[0-9]{1,2} | |
135 TRGJP?[12] | |
136 TRDJ[1-4] | |
137 """ | |
123 | 138 |
124 #jPattern = re.compile(r"TRBJ[12]-[1-7]") #mouse | 139 vPattern = [r"(IGHV[0-9]-[0-9ab]+-?[0-9]?D?)", |
125 #jPattern = re.compile(r"IGHJ[1-6]") #human | 140 r"(TRBV[0-9]{1,2}-?[0-9]?-?[123]?)", |
126 jPattern = re.compile(r"IGHJ[1-6]|TRBJ[12]-[1-7]") #mouse and human | 141 r"(IGKV[0-3]D?-[0-9]{1,2})", |
142 r"(IGLV[0-9]-[0-9]{1,2})", | |
143 r"(TRAV[0-9]{1,2}(-[1-46])?(/DV[45678])?)", | |
144 r"(TRGV[234589])", | |
145 r"(TRDV[1-3])"] | |
146 | |
147 dPattern = [r"(IGHD[0-9]-[0-9ab]+)", | |
148 r"(TRBD[12])", | |
149 r"(TRDD[1-3])"] | |
150 | |
151 jPattern = [r"(IGHJ[1-6])", | |
152 r"(TRBJ[12]-[1-7])", | |
153 r"(IGKJ[1-5])", | |
154 r"(IGLJ[12367])", | |
155 r"(TRAJ[0-9]{1,2})", | |
156 r"(TRGJP?[12])", | |
157 r"(TRDJ[1-4])"] | |
158 | |
159 vPattern = re.compile(r"|".join(vPattern)) | |
160 | |
161 dPattern = re.compile(r"|".join(dPattern)) | |
162 | |
163 jPattern = re.compile(r"|".join(jPattern)) | |
127 | 164 |
128 | 165 |
129 def filterGenes(s, pattern): | 166 def filterGenes(s, pattern): |
130 if type(s) is not str: | 167 if type(s) is not str: |
131 return "NA" | 168 return "NA" |
133 if res: | 170 if res: |
134 return res.group(0) | 171 return res.group(0) |
135 return "NA" | 172 return "NA" |
136 | 173 |
137 | 174 |
175 | |
138 outFrame["Top V Gene"] = outFrame["Top V Gene"].apply(lambda x: filterGenes(x, vPattern)) | 176 outFrame["Top V Gene"] = outFrame["Top V Gene"].apply(lambda x: filterGenes(x, vPattern)) |
139 outFrame["Top D Gene"] = outFrame["Top D Gene"].apply(lambda x: filterGenes(x, dPattern)) | 177 outFrame["Top D Gene"] = outFrame["Top D Gene"].apply(lambda x: filterGenes(x, dPattern)) |
140 outFrame["Top J Gene"] = outFrame["Top J Gene"].apply(lambda x: filterGenes(x, jPattern)) | 178 outFrame["Top J Gene"] = outFrame["Top J Gene"].apply(lambda x: filterGenes(x, jPattern)) |
141 | 179 |
142 | 180 print outFrame |
143 | 181 |
144 tmp = outFrame["VDJ Frame"] | 182 tmp = outFrame["VDJ Frame"] |
145 tmp = tmp.replace("in-frame", "In-frame") | 183 tmp = tmp.replace("in-frame", "In-frame") |
146 tmp = tmp.replace("null", "Out-of-frame") | 184 tmp = tmp.replace("null", "Out-of-frame") |
147 tmp = tmp.replace("out-of-frame", "Out-of-frame") | 185 tmp = tmp.replace("out-of-frame", "Out-of-frame") |