comparison pyPRADA_1.2/prada-frame @ 0:acc2ca1a3ba4

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author siyuan
date Thu, 20 Feb 2014 00:44:58 -0500
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1 #!/usr/bin/env python
2
3 #This script is part of the pyPRADA package. It is used to predict the functional consequences of
4 #gene fusions. Possible predictions include in-frame, out-of-frame, UTR-UTR, UTR-CDS, Unknown etc.
5 #It relies on the definition of transcript CDS/UTR boundaries from ENSEMBL, and gives a prediction
6 #for every pair of transcripts coded by the fusion genes. The whole point is to see if the fusion
7 #lead to reading shift of the CDS sequences.
8 #Two files are generated, brief/detail result.
9 #Result is purely predicted, no guarantee is assumed.
10 #Contact: Siyuan Zheng, szheng2@mdanderson.org
11
12 import os
13 import sys
14 import re
15 import time
16 import subprocess
17 import bioclass
18 from Bio import SeqIO
19 import ioprada
20
21 ######################################################################################
22 help_menu='''\nUsage: prada-frame -conf xx.txt -i inputfile -docstr XX -outdir ./
23 **parameters**
24 -conf see prada-fusion -conf
25 -i input file, a tab/space delimited four-column file, each row like "GeneA GeneA_break GeneB GeneB_break"
26 Example:FGFR3 1808661 TACC3 1739325
27 -docstr outfile prefix. output to two files: XX.frame.brief.txt, XX.frame.detail.txt
28 -outdir output directory, default is ./
29 '''
30
31 args=sys.argv
32 if '-h' in args or '-help' in args or len(args)==1:
33 print help_menu
34 sys.exit(0)
35
36 if '-i' not in sys.argv:
37 sys.exit('Input file needed')
38 else:
39 i=sys.argv.index('-i')
40 datafilename=sys.argv[i+1]
41
42 if '-outdir' not in args:
43 outpath=os.path.abspath('./')
44 else:
45 i=args.index('-outdir')
46 outpath=os.path.abspath(args[i+1])
47 if os.path.exists(outpath):
48 print 'WARNING: outdir %s exists'%outpath
49 else:
50 os.mkdir(outpath)
51
52 if '-docstr' not in sys.argv:
53 sys.exit('docstring needed')
54 else:
55 i=sys.argv.index('-docstr')
56 outfile_prefix=sys.argv[i+1]
57 outfile_brief='%s/%s.frame.brief.txt'%(outpath,outfile_prefix)
58 outfile_detail='%s/%s.frame.detail.txt'%(outpath,outfile_prefix)
59
60 #PRADA executive path
61 prada_path=os.path.dirname(os.path.abspath(__file__)) ####
62 ref_search_path=[prada_path,os.getcwd()] #search path for ref file if not specified in command line
63
64 if '-ref' in args:
65 i=args.index('-conf')
66 reffile=args[i+1]
67 if os.path.exists(reffile):
68 pass
69 else:
70 for pth in ref_search_path:
71 new_reffile='%s/%s'%(pth, os.path.basename(reffile))
72 if os.path.exists(new_reffile):
73 reffile=new_reffile
74 break
75 else:
76 sys.exit('ERROR: conf file %s not found'%reffile)
77 else:
78 reffile='%s/conf.txt'%prada_path
79 if not os.path.exists(reffile):
80 sys.exit('ERROR: No default conf.txt found and none specified')
81
82 #read reference files
83 refdict=ioprada.read_conf(reffile)
84 featurefile=refdict['--REF--']['feature_file']
85 cdsfile=refdict['--REF--']['cds_file']
86 txcatfile=refdict['--REF--']['txcat_file']
87
88 #Now print all input parameters
89 print 'CMD: %s'%('\t'.join(args))
90
91 ###########################################################################################
92 ##Read information from annotation files, for all genes
93 print 'Reading annotations'
94 #call functions in ioprada module //
95 txdb,genedb=ioprada.read_feature(featurefile,verbose=False)
96 tx_cds=ioprada.read_cds(cdsfile)
97 tx_primary=ioprada.read_tx_cat(txcatfile)
98
99 ###########################################################################################
100 def maptranscript(gene,exon_end,part=''):
101 '''Find all transcripts of the gene having the fusion boundary.
102 gene is a Gene object,return a list of Transcript objects'''
103 if part not in ['5','3']:
104 raise Exception('part must be "5" or "3"')
105 txuse=[] ##
106 g=gene.name
107 strand=gene.strand
108 if part=='5':
109 tag='big' if strand=='1' else 'small'
110 else:
111 tag='small' if strand=='1' else 'big'
112 txs=gene.transcript
113 if tag=='small':
114 for tx in txs:
115 e_pos=[x.start for x in tx.exon]
116 if exon_end in e_pos:
117 txuse.append(tx)
118 elif tag=='big':
119 for tx in txs:
120 e_pos=[x.end for x in tx.exon]
121 if exon_end in e_pos:
122 txuse.append(tx)
123 return txuse
124
125 def overlap(r1,r2):
126 '''compare two ranges, return the overlapped'''
127 if r1[0] <= r2[0]:
128 ra,rb=r1[:],r2[:]
129 else:
130 ra,rb=r2[:],r1[:]
131 if rb[0] > ra[1]:
132 return []
133 else:
134 if rb[1] <= ra[1]:
135 return rb
136 else:
137 return [rb[0],ra[1]]
138
139 def br_front_len(tx,br,part):
140 '''No matter it is 5'/3' partner,calculate the ORF length before the break'''
141 global tx_cds
142 txname=tx.name
143 strand=tx.strand
144 cds_start,cds_end=[int(x) for x in tx_cds[txname]]
145 e_pos=[[x.start,x.end] for x in tx.exon]
146 if part=='5' and strand=='1':
147 posset=[x.end for x in tx.exon]
148 if br not in posset:
149 raise Exception('Br is not exon boundary')
150 if br < cds_start:
151 return '5UTR'
152 elif br > cds_end:
153 return '3UTR'
154 else:
155 chim_r=[cds_start,br]
156 ol=[overlap(x,chim_r) for x in e_pos]
157 L=sum([x[1]-x[0]+1 for x in ol if len(x)>0])
158 return L
159 if part=='5' and strand=='-1':
160 posset=[x.start for x in tx.exon]
161 if br not in posset:
162 raise Exception('Br is not exon boundary')
163 if br > cds_end:
164 return '5UTR'
165 elif br < cds_start:
166 return '3UTR'
167 else:
168 chim_r=[br,cds_end]
169 ol=[overlap(x,chim_r) for x in e_pos]
170 L=sum([x[1]-x[0]+1 for x in ol if len(x)>0])
171 return L
172 if part=='3' and strand=='1':
173 posset=[x.start for x in tx.exon]
174 if br not in posset:
175 raise Exception('Br is not exon boundary')
176 if br < cds_start:
177 return '5UTR'
178 elif br > cds_end:
179 return '3UTR'
180 else:
181 chim_r=[cds_start,br-1]
182 ol=[overlap(x,chim_r) for x in e_pos]
183 L=sum([x[1]-x[0]+1 for x in ol if len(x)>0])
184 return L
185 if part=='3' and strand=='-1':
186 posset=[x.end for x in tx.exon]
187 if br not in posset:
188 raise Exception('Br is not exon boundary')
189 if br > cds_end:
190 return '5UTR'
191 elif br < cds_start:
192 return '3UTR'
193 else:
194 chim_r=[br+1,cds_end]
195 ol=[overlap(x,chim_r) for x in e_pos]
196 L=sum([x[1]-x[0]+1 for x in ol if len(x)>0])
197 return L
198
199 def fusion_frame(gene_a,ga_br,gene_b,gb_br):
200 '''gene_a:FGFR3,gene_b:TACC3,ga_br:1808661,gb_br:1741429
201 or chr4.1808661.chr4.1741429'''
202 global genedb,txdb
203 ga_br=int(ga_br)
204 gb_br=int(gb_br)
205 ga_txs=maptranscript(genedb[gene_a],ga_br,part='5')
206 gb_txs=maptranscript(genedb[gene_b],gb_br,part='3')
207 res=[]
208 for ta in ga_txs:
209 for tb in gb_txs:
210 s1=br_front_len(ta,ga_br,'5')
211 s2=br_front_len(tb,gb_br,'3')
212 fusion_conseq='Unknown'
213 if isinstance(s1,int) and isinstance(s2,int): #both br in CDS region
214 if s1%3==s2%3:
215 fusion_conseq='In-frame'
216 else:
217 fusion_conseq='Out-of-frame'
218 elif isinstance(s1,int) and not isinstance(s2,int):
219 fusion_conseq='CDS'+'-'+s2
220 elif isinstance(s2,int) and not isinstance(s1,int):
221 fusion_conseq=s1+'-'+'CDS'
222 else:
223 fusion_conseq=s1+'-'+s2
224 res.append((ta.name,tb.name,fusion_conseq))
225 if ga_txs==[] and gb_txs==[]:
226 res.append(['NA','NA','NA'])
227 elif ga_txs==[]:
228 for tb in gb_txs:
229 res.append(['NA',tb.name,'NA'])
230 elif gb_txs==[]:
231 for ta in ga_txs:
232 res.append([ta.name,'NA','NA'])
233 return res
234
235 ############################################################################
236 print 'Predicting...'
237 infile=open(datafilename)
238 outfile_detail=open(outfile_detail,'w')
239 outfile_brief=open(outfile_brief,'w')
240 detailM=[]
241 briefM=[]
242 for line in infile:
243 if not line.strip():
244 continue
245 geneA,ga_br,geneB,gb_br=line.split()
246 try:
247 M=fusion_frame(geneA,ga_br,geneB,gb_br)
248 except:
249 M=[]
250 ppcollected=0
251 for ccc in M:
252 a_cat,b_cat='alternative','alternative'
253 if tx_primary[geneA]==ccc[0]:
254 a_cat='primary'
255 if tx_primary[geneB]==ccc[1]:
256 b_cat='primary'
257 tag='%s_%s'%(a_cat,b_cat)
258 if ccc[0]=='NA' or ccc[1]=='NA':
259 tag='NA'
260 row_d=[geneA,ga_br,geneB,gb_br,ccc[0],ccc[1],tag,ccc[2]] #genea,geneb,tag,consequence
261 detailM.append(row_d)
262 if tag=='primary_primary':
263 row_b=[geneA,ga_br,geneB,gb_br,ccc[2]]
264 ppcollected=1
265 if ppcollected==0:
266 row_b=[geneA,ga_br,geneB,gb_br,'not-classified']
267 briefM.append(row_b)
268 infile.close()
269
270 for line in detailM:
271 outfile_detail.write('%s\n'%('\t'.join(line)))
272 outfile_detail.close()
273
274 for line in briefM:
275 outfile_brief.write('%s\n'%('\t'.join(line)))
276 outfile_brief.close()
277
278 print 'Done!'