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comparison flanking_features.py @ 0:90100b587723 draft

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Imported from capsule None
author devteam
date Tue, 01 Apr 2014 10:52:59 -0400
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children 8307665c4b6c
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-1:000000000000 0:90100b587723
1 #!/usr/bin/env python
2 #By: Guruprasad Ananda
3 """
4 Fetch closest up/downstream interval from features corresponding to every interval in primary
5
6 usage: %prog primary_file features_file out_file direction
7 -1, --cols1=N,N,N,N: Columns for start, end, strand in first file
8 -2, --cols2=N,N,N,N: Columns for start, end, strand in second file
9 -G, --gff1: input 1 is GFF format, meaning start and end coordinates are 1-based, closed interval
10 -H, --gff2: input 2 is GFF format, meaning start and end coordinates are 1-based, closed interval
11 """
12
13 import sys, traceback, fileinput
14 from warnings import warn
15 from bx.cookbook import doc_optparse
16 from galaxy.tools.util.galaxyops import *
17 from bx.intervals.io import *
18 from bx.intervals.operations import quicksect
19 from utils.gff_util import *
20
21 assert sys.version_info[:2] >= ( 2, 4 )
22
23 def get_closest_feature (node, direction, threshold_up, threshold_down, report_func_up, report_func_down):
24 #direction=1 for +ve strand upstream and -ve strand downstream cases; and it is 0 for +ve strand downstream and -ve strand upstream cases
25 #threhold_Up is equal to the interval start for +ve strand, and interval end for -ve strand
26 #threhold_down is equal to the interval end for +ve strand, and interval start for -ve strand
27 if direction == 1:
28 if node.maxend <= threshold_up:
29 if node.end == node.maxend:
30 report_func_up(node)
31 elif node.right and node.left:
32 if node.right.maxend == node.maxend:
33 get_closest_feature(node.right, direction, threshold_up, threshold_down, report_func_up, report_func_down)
34 elif node.left.maxend == node.maxend:
35 get_closest_feature(node.left, direction, threshold_up, threshold_down, report_func_up, report_func_down)
36 elif node.right and node.right.maxend == node.maxend:
37 get_closest_feature(node.right, direction, threshold_up, threshold_down, report_func_up, report_func_down)
38 elif node.left and node.left.maxend == node.maxend:
39 get_closest_feature(node.left, direction, threshold_up, threshold_down, report_func_up, report_func_down)
40 elif node.minend <= threshold_up:
41 if node.end <= threshold_up:
42 report_func_up(node)
43 if node.left and node.right:
44 if node.right.minend <= threshold_up:
45 get_closest_feature(node.right, direction, threshold_up, threshold_down, report_func_up, report_func_down)
46 if node.left.minend <= threshold_up:
47 get_closest_feature(node.left, direction, threshold_up, threshold_down, report_func_up, report_func_down)
48 elif node.left:
49 if node.left.minend <= threshold_up:
50 get_closest_feature(node.left, direction, threshold_up, threshold_down, report_func_up, report_func_down)
51 elif node.right:
52 if node.right.minend <= threshold_up:
53 get_closest_feature(node.right, direction, threshold_up, threshold_down, report_func_up, report_func_down)
54 elif direction == 0:
55 if node.start > threshold_down:
56 report_func_down(node)
57 if node.left:
58 get_closest_feature(node.left, direction, threshold_up, threshold_down, report_func_up, report_func_down)
59 else:
60 if node.right:
61 get_closest_feature(node.right, direction, threshold_up, threshold_down, report_func_up, report_func_down)
62
63 def proximal_region_finder(readers, region, comments=True):
64 """
65 Returns an iterator that yields elements of the form [ <original_interval>, <closest_feature> ].
66 Intervals are GenomicInterval objects.
67 """
68 primary = readers[0]
69 features = readers[1]
70 either = False
71 if region == 'Upstream':
72 up, down = True, False
73 elif region == 'Downstream':
74 up, down = False, True
75 else:
76 up, down = True, True
77 if region == 'Either':
78 either = True
79
80 # Read features into memory:
81 rightTree = quicksect.IntervalTree()
82 for item in features:
83 if type( item ) is GenomicInterval:
84 rightTree.insert( item, features.linenum, item )
85
86 for interval in primary:
87 if type( interval ) is Header:
88 yield interval
89 if type( interval ) is Comment and comments:
90 yield interval
91 elif type( interval ) == GenomicInterval:
92 chrom = interval.chrom
93 start = int(interval.start)
94 end = int(interval.end)
95 strand = interval.strand
96 if chrom not in rightTree.chroms:
97 continue
98 else:
99 root = rightTree.chroms[chrom] #root node for the chrom tree
100 result_up = []
101 result_down = []
102 if (strand == '+' and up) or (strand == '-' and down):
103 #upstream +ve strand and downstream -ve strand cases
104 get_closest_feature (root, 1, start, None, lambda node: result_up.append( node ), None)
105
106 if (strand == '+' and down) or (strand == '-' and up):
107 #downstream +ve strand and upstream -ve strand case
108 get_closest_feature (root, 0, None, end-1, None, lambda node: result_down.append( node ))
109
110 if result_up:
111 if len(result_up) > 1: #The results_up list has a list of intervals upstream to the given interval.
112 ends = []
113 for n in result_up:
114 ends.append(n.end)
115 res_ind = ends.index(max(ends)) #fetch the index of the closest interval i.e. the interval with the max end from the results_up list
116 else:
117 res_ind = 0
118 if not(either):
119 yield [ interval, result_up[res_ind].other ]
120
121 if result_down:
122 if not(either):
123 #The last element of result_down will be the closest element to the given interval
124 yield [ interval, result_down[-1].other ]
125
126 if either and (result_up or result_down):
127 iter_val = []
128 if result_up and result_down:
129 if abs(start - int(result_up[res_ind].end)) <= abs(end - int(result_down[-1].start)):
130 iter_val = [ interval, result_up[res_ind].other ]
131 else:
132 #The last element of result_down will be the closest element to the given interval
133 iter_val = [ interval, result_down[-1].other ]
134 elif result_up:
135 iter_val = [ interval, result_up[res_ind].other ]
136 elif result_down:
137 #The last element of result_down will be the closest element to the given interval
138 iter_val = [ interval, result_down[-1].other ]
139 yield iter_val
140
141 def main():
142 options, args = doc_optparse.parse( __doc__ )
143 try:
144 chr_col_1, start_col_1, end_col_1, strand_col_1 = parse_cols_arg( options.cols1 )
145 chr_col_2, start_col_2, end_col_2, strand_col_2 = parse_cols_arg( options.cols2 )
146 in1_gff_format = bool( options.gff1 )
147 in2_gff_format = bool( options.gff2 )
148 in_fname, in2_fname, out_fname, direction = args
149 except:
150 doc_optparse.exception()
151
152 # Set readers to handle either GFF or default format.
153 if in1_gff_format:
154 in1_reader_wrapper = GFFIntervalToBEDReaderWrapper
155 else:
156 in1_reader_wrapper = NiceReaderWrapper
157 if in2_gff_format:
158 in2_reader_wrapper = GFFIntervalToBEDReaderWrapper
159 else:
160 in2_reader_wrapper = NiceReaderWrapper
161
162 g1 = in1_reader_wrapper( fileinput.FileInput( in_fname ),
163 chrom_col=chr_col_1,
164 start_col=start_col_1,
165 end_col=end_col_1,
166 strand_col=strand_col_1,
167 fix_strand=True )
168 g2 = in2_reader_wrapper( fileinput.FileInput( in2_fname ),
169 chrom_col=chr_col_2,
170 start_col=start_col_2,
171 end_col=end_col_2,
172 strand_col=strand_col_2,
173 fix_strand=True )
174
175 # Find flanking features.
176 out_file = open( out_fname, "w" )
177 try:
178 for result in proximal_region_finder([g1,g2], direction):
179 if type( result ) is list:
180 line, closest_feature = result
181 # Need to join outputs differently depending on file types.
182 if in1_gff_format:
183 # Output is GFF with added attribute 'closest feature.'
184
185 # Invervals are in BED coordinates; need to convert to GFF.
186 line = convert_bed_coords_to_gff( line )
187 closest_feature = convert_bed_coords_to_gff( closest_feature )
188
189 # Replace double quotes with single quotes in closest feature's attributes.
190 out_file.write( "%s closest_feature \"%s\" \n" %
191 ( "\t".join( line.fields ), \
192 "\t".join( closest_feature.fields ).replace( "\"", "\\\"" )
193 ) )
194 else:
195 # Output is BED + closest feature fields.
196 output_line_fields = []
197 output_line_fields.extend( line.fields )
198 output_line_fields.extend( closest_feature.fields )
199 out_file.write( "%s\n" % ( "\t".join( output_line_fields ) ) )
200 else:
201 out_file.write( "%s\n" % result )
202 except ParseError, exc:
203 fail( "Invalid file format: %s" % str( exc ) )
204
205 print "Direction: %s" %(direction)
206 if g1.skipped > 0:
207 print skipped( g1, filedesc=" of 1st dataset" )
208 if g2.skipped > 0:
209 print skipped( g2, filedesc=" of 2nd dataset" )
210
211 if __name__ == "__main__":
212 main()