Mercurial > repos > brenninc > umicount
comparison dedup_barcode_fingerprint.py @ 0:d1d0ee366702 draft default tip
Uploaded first version
author | brenninc |
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date | Wed, 11 May 2016 04:53:30 -0400 |
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-1:000000000000 | 0:d1d0ee366702 |
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1 """ | |
2 .. module:: fingerprint | |
3 :platform: Unix | |
4 :synopsis: Use UMI to count transcripts | |
5 :version: 1.0 | |
6 | |
7 .. moduleauthor:: Mickael Mendez <mendez.mickael@gmail.com> | |
8 | |
9 .. source: https://github.com/mmendez12/umicount | |
10 | |
11 """ | |
12 | |
13 import csv | |
14 import itertools | |
15 import subprocess | |
16 import argparse | |
17 import tempfile | |
18 import os | |
19 import shutil | |
20 from collections import defaultdict | |
21 | |
22 import bed12 | |
23 | |
24 | |
25 def get_fingerprint(read): | |
26 """Get fingerprint id from the read's name. It assumes that the read's name | |
27 contains the following pattern *FP:XXX;* where *XXX* is the fingerprint id. | |
28 | |
29 Args: | |
30 read: A list of twelve elements where each element refers to a field in the BED format. | |
31 | |
32 Returns: | |
33 A string containing the fingerprint id | |
34 | |
35 >>> read = ['chrX', '100', '200', 'BC:ATGC;FP:0012', '12', '+', '100', '110', '255,0,0', '2', '21,25', '0,75'] | |
36 >>> get_fingerprint(read) | |
37 '0012' | |
38 """ | |
39 return read[3].split('FP:')[1].split(';')[0] | |
40 | |
41 | |
42 def get_barcode(read): | |
43 """Get barcode from the read's name. It assumes that the read's name | |
44 contains the following pattern *BC:XXX;* where *XXX* is the actual barcode. | |
45 | |
46 Args: | |
47 read: A list of twelve elements where each element refers to a field in the BED format. | |
48 | |
49 Returns: | |
50 A string containing the barcode | |
51 | |
52 >>> read = ['chrX', '100', '200', 'BC:ATGC;FP:0012', '12', '+', '100', '110', '255,0,0', '2', '21,25', '0,75'] | |
53 >>> get_barcode(read) | |
54 'ATGC' | |
55 """ | |
56 return read[3].split('BC:')[1].split(';')[0] | |
57 | |
58 | |
59 def print_read_to_bed12(key, reads): | |
60 """ Merge the reads by blocks and print a single read in the BED12 format on stdout. | |
61 It assumes that the reads are on the same TSS and contains | |
62 barcode and fingerprint information in the read's name. | |
63 | |
64 Args: | |
65 key: A tuple that contain the chromosome, barcode and fingerprint information. | |
66 | |
67 reads: A list of reads (in a list) from the same TSS, that have similar barcode and fingerprint. | |
68 | |
69 >>> reads = [] | |
70 >>> reads.append(['chrX', '100', '200', 'BC:AAA;FP:0012', '12', '+', '100', '110', '255,0,0', '2', '20,25', '0,75']) | |
71 >>> reads.append(['chrX', '100', '300', 'BC:AAA;FP:0012', '12', '+', '100', '110', '255,0,0', '3', '20,25', '0,175']) | |
72 >>> print_read_to_bed12(('chrX', 'AAA', '0012'), reads) #doctest: +NORMALIZE_WHITESPACE | |
73 chrX 100 300 BC:AAA;FP:0012 2 + 100 120 255,0,0 3 20,25,25 0,75,175 | |
74 """ | |
75 block_sizes, block_starts = bed12.merge_overlapping_blocks(reads) | |
76 | |
77 #bed12 | |
78 first_read = sorted(reads, key = bed12.get_start)[0] | |
79 chrom, barcode, fingerprint = key | |
80 start = bed12.get_start(first_read) | |
81 end = start + block_starts[-1] + block_sizes[-1] | |
82 name = "BC:{0};FP:{1}".format(barcode, fingerprint) | |
83 score = len(reads) | |
84 | |
85 strand = bed12.get_strand(first_read) | |
86 | |
87 if strand == '+': | |
88 thick_start = start | |
89 thick_end = start + block_sizes[0] | |
90 else: | |
91 thick_start = end - block_sizes[-1] | |
92 thick_end = end | |
93 | |
94 color = "255,0,0" | |
95 block_count = len(block_sizes) | |
96 block_sizes = ','.join(map(str, block_sizes)) | |
97 block_starts = ','.join(map(str, block_starts)) | |
98 | |
99 output = [chrom, start, end, name, score, strand, thick_start, thick_end, | |
100 color, block_count, block_sizes, block_starts] | |
101 | |
102 output_str = map(str, output) | |
103 print '\t'.join(output_str) | |
104 | |
105 | |
106 def main(): | |
107 | |
108 #PARSER TODO: move this code somewhere else | |
109 parser = argparse.ArgumentParser() | |
110 group = parser.add_mutually_exclusive_group(required=True) | |
111 group.add_argument("-d", "--directory", help="absolute path of the folder containing the bed files") | |
112 group.add_argument("-f", "--file", help="a bed file") | |
113 parser.add_argument("-o", help='name of the output file. Only works if the script is called with the -f option, \ | |
114 ignored otherwise.') | |
115 | |
116 args = parser.parse_args() | |
117 | |
118 if args.directory: | |
119 path, folder, files = os.walk(args.directory).next() | |
120 elif args.file: | |
121 path = '' | |
122 files = [args.file] | |
123 #ENDPARSER | |
124 | |
125 #create a temporary directory | |
126 tmp_dir = tempfile.mkdtemp() | |
127 | |
128 plus_strand_tmp_file = open(os.path.join(tmp_dir, '+'), 'w') | |
129 minus_strand_tmp_file = open(os.path.join(tmp_dir, '-'), 'w') | |
130 plus_and_minus_sorted_path = os.path.join(tmp_dir, '+-s') | |
131 | |
132 #creates two temporary bed files containing either reads on the plus or minus strand | |
133 for bed_file in files: | |
134 | |
135 with open(os.path.join(path, bed_file)) as bed_file: | |
136 reader = csv.reader(bed_file, delimiter='\t') | |
137 | |
138 for read in reader: | |
139 strand = bed12.get_strand(read) | |
140 if strand == '+': | |
141 plus_strand_tmp_file.write('\t'.join(read) + '\n') | |
142 elif strand == '-': | |
143 minus_strand_tmp_file.write('\t'.join(read) + '\n') | |
144 | |
145 | |
146 #close the files | |
147 plus_strand_tmp_file.close() | |
148 minus_strand_tmp_file.close() | |
149 | |
150 #call unix sort on the file containing reads on the plus strand by tss | |
151 with open(os.path.join(tmp_dir, '+sorted'), "w") as outfile: | |
152 subprocess.call(["sort", '-k2,2n', os.path.join(tmp_dir, '+')], stdout=outfile) | |
153 | |
154 #call unix sort on the file containing reads on the minus strand by tss | |
155 with open(os.path.join(tmp_dir, '-sorted'), "w") as outfile: | |
156 subprocess.call(["sort", '-k3,3n', os.path.join(tmp_dir, '-')], stdout=outfile) | |
157 | |
158 #concatenate the files sorted by tss | |
159 with open(plus_and_minus_sorted_path, "w") as outfile: | |
160 subprocess.call(['cat', os.path.join(tmp_dir, '+sorted'), os.path.join(tmp_dir, '-sorted')], stdout=outfile) | |
161 | |
162 with open(plus_and_minus_sorted_path) as bedfile: | |
163 reader = csv.reader(bedfile, delimiter='\t') | |
164 reads = (line for line in reader) | |
165 | |
166 #for each reads on the same tss | |
167 for tss, reads in itertools.groupby(reads, bed12.get_tss): | |
168 d = defaultdict(list) | |
169 | |
170 #group the reads by chr, barcode and fingerprint | |
171 for read in reads: | |
172 key = (bed12.get_chrom(read), get_barcode(read), get_fingerprint(read)) | |
173 d[key].append(read) | |
174 | |
175 #merge and print the reads that have similar tss, barcode and fingerprint | |
176 for key, reads in d.iteritems(): | |
177 print_read_to_bed12(key, reads) | |
178 | |
179 shutil.rmtree(tmp_dir) | |
180 | |
181 | |
182 if __name__ == '__main__': | |
183 main() | |
184 | |
185 #TODO: combine this script with dedup_fingerprint |