Mercurial > repos > gregory-minevich > ems_variant_density_mapping
comparison EMS_VariantDensityMapping.py @ 0:a43cb9a57a9a
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author | gregory-minevich |
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date | Tue, 20 Mar 2012 10:53:03 -0400 |
parents | |
children | d2158e476320 |
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-1:000000000000 | 0:a43cb9a57a9a |
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1 #!/usr/bin/python | |
2 | |
3 import sys | |
4 import optparse | |
5 import csv | |
6 from rpy import * | |
7 | |
8 def main(): | |
9 parser = optparse.OptionParser() | |
10 parser.add_option('-s', '--snp_vcf', dest = 'snp_vcf', action = 'store', type = 'string', default = None, help = "VCF of SNPs") | |
11 parser.add_option('-c', '--hist_color', dest = 'hist_color', action = 'store', type = 'string', default = "darkgray", help = "Color for 1Mb histograms") | |
12 parser.add_option('-y', '--ylim', dest = 'ylim', action = 'store', type = 'int', default= 100, help = "Upper limit of Y axis") | |
13 parser.add_option('-z', '--standardize', dest = 'standardize', default= 'false', help = "Standardize X-axis") | |
14 parser.add_option('-e', '--ems', dest = 'ems', default= 'false', help = "Whether EMS variants should be filtered for") | |
15 parser.add_option('-o', '--output', dest = 'plot_output', action = 'store', type = 'string', default = 'EMS_Variant_Density_Plot.pdf', help = "Output file name of plot") | |
16 (options, args) = parser.parse_args() | |
17 | |
18 | |
19 i, ii, iii, iv, v, x = parse_snp_vcf(snp_vcf = options.snp_vcf, ems=options.ems) | |
20 create_histograms(plot_output = options.plot_output, hist_color=options.hist_color, ylim=options.ylim, ems=options.ems, standardize=options.standardize, i = i, ii = ii, iii = iii, iv = iv, v = v, x = x) | |
21 | |
22 def create_histograms(plot_output = None, hist_color=None, ylim=None, ems=None, standardize=None , i = None, ii = None, iii = None, iv = None, v = None, x = None): | |
23 breaks = { 'I' : 16 , 'II' : 16, 'III' : 14, 'IV' : 18, 'V' : 21, 'X' : 18 } | |
24 | |
25 try: | |
26 r.pdf(plot_output, 8, 8) | |
27 if len(i) > 0: | |
28 plot_data(position_list = i, chr = "I", breaks = breaks["I"], hist_color=hist_color, ylim=ylim, ems=ems, standardize=standardize) | |
29 if len(ii) > 0: | |
30 plot_data(position_list = ii, chr = "II", breaks = breaks["II"], hist_color=hist_color, ylim=ylim, ems=ems, standardize=standardize) | |
31 if len(iii) > 0: | |
32 plot_data(position_list = iii, chr = "III", breaks = breaks["III"], hist_color=hist_color, ylim=ylim, ems=ems, standardize=standardize) | |
33 if len(iv) > 0: | |
34 plot_data(position_list = iv, chr = "IV", breaks = breaks["IV"], hist_color=hist_color, ylim=ylim, ems=ems, standardize=standardize) | |
35 if len(v) > 0: | |
36 plot_data(position_list = v, chr = "V", breaks = breaks["V"], hist_color=hist_color, ylim=ylim, ems=ems, standardize=standardize) | |
37 if len(x) > 0: | |
38 plot_data(position_list = x, chr = "X", breaks = breaks["X"], hist_color=hist_color, ylim=ylim, ems=ems, standardize=standardize) | |
39 r.dev_off() | |
40 except Exception as inst: | |
41 print inst | |
42 print "There was an error creating the plot pdf... Please try again" | |
43 | |
44 def parse_snp_vcf(snp_vcf = None, ems=None): | |
45 i_file = open(snp_vcf, 'rU') | |
46 reader = csv.reader(i_file, delimiter = '\t', quoting = csv.QUOTE_NONE) | |
47 | |
48 skip_headers(reader = reader, i_file = i_file) | |
49 | |
50 i_position_list = [] | |
51 ii_position_list = [] | |
52 iii_position_list = [] | |
53 iv_position_list = [] | |
54 v_position_list = [] | |
55 x_position_list = [] | |
56 | |
57 for row in reader: | |
58 chromosome = row[0] | |
59 position = row[1] | |
60 ref_allele = row[3] | |
61 alt_allele = row[4] | |
62 | |
63 if (ems=='true'): | |
64 if (ref_allele =="G" or ref_allele =="C") and (alt_allele =="A" or alt_allele =="T"): | |
65 if chromosome == "I": | |
66 i_position_list.append(position) | |
67 elif chromosome == "II": | |
68 ii_position_list.append(position) | |
69 elif chromosome == "III": | |
70 iii_position_list.append(position) | |
71 elif chromosome == "IV": | |
72 iv_position_list.append(position) | |
73 elif chromosome == "V": | |
74 v_position_list.append(position) | |
75 elif chromosome == "X": | |
76 x_position_list.append(position) | |
77 elif (ems=='false'): | |
78 if chromosome == "I": | |
79 i_position_list.append(position) | |
80 elif chromosome == "II": | |
81 ii_position_list.append(position) | |
82 elif chromosome == "III": | |
83 iii_position_list.append(position) | |
84 elif chromosome == "IV": | |
85 iv_position_list.append(position) | |
86 elif chromosome == "V": | |
87 v_position_list.append(position) | |
88 elif chromosome == "X": | |
89 x_position_list.append(position) | |
90 | |
91 return i_position_list, ii_position_list, iii_position_list, iv_position_list, v_position_list, x_position_list | |
92 | |
93 def skip_headers(reader = None, i_file = None): | |
94 # count headers | |
95 comment = 0 | |
96 while reader.next()[0].startswith('#'): | |
97 comment = comment + 1 | |
98 | |
99 # skip headers | |
100 i_file.seek(0) | |
101 for i in range(0, comment): | |
102 reader.next() | |
103 | |
104 def plot_data(position_list = None, chr = None, breaks = None, hist_color=None, ylim = None, ems=None, standardize=None): | |
105 positions = ",".join(map(str, map(lambda x: float(x) / 1000000, position_list))) | |
106 positions = "c(" + positions + ")" | |
107 | |
108 if (standardize=='true'): | |
109 r("hist(" + positions + ", xlim=c(0,21), ylim=c(0, %d "%ylim +"),col='"+ hist_color + "', breaks = seq(0, as.integer( ' " + str(breaks) + " '), by=1), main = 'LG " + chr + "', ylab = 'Frequency Of SNPs', xlab = 'Location (Mb)')") | |
110 r("hist(" + positions + ", xlim=c(0,21), add=TRUE, ylim=c(0, %d "%ylim +"), col=rgb(1, 0, 0, 1), breaks = seq(0, as.integer( ' " + str(breaks) + " '), by=.5), main = 'Chr " + chr + "', ylab = 'Number Of SNPs', xlab = 'Location (Mb)')") | |
111 r("axis(1, at=seq(0, 21, by=1), labels=FALSE, tcl=-0.5)") | |
112 r("axis(1, at=seq(0, 21, by=0.5), labels=FALSE, tcl=-0.25)") | |
113 elif (standardize=='false'): | |
114 r("hist(" + positions + ", xlim=c(0,as.integer( ' " + str(breaks) + " ')), ylim=c(0, %d "%ylim +"),col='"+ hist_color + "', breaks = seq(0, as.integer( ' " + str(breaks) + " '), by=1), main = 'LG " + chr + "', ylab = 'Frequency Of SNPs', xlab = 'Location (Mb)')") | |
115 r("hist(" + positions + ", xlim=c(0,as.integer( ' " + str(breaks) + " ')), add=TRUE, ylim=c(0, %d "%ylim +"), col=rgb(1, 0, 0, 1), breaks = seq(0, as.integer( ' " + str(breaks) + " '), by=.5), main = 'Chr " + chr + "', ylab = 'Number Of SNPs', xlab = 'Location (Mb)')") | |
116 r("axis(1, at=seq(0, as.integer( ' " + str(breaks) + " '), by=1), labels=FALSE, tcl=-0.5)") | |
117 r("axis(1, at=seq(0, as.integer( ' " + str(breaks) + " '), by=0.5), labels=FALSE, tcl=-0.25)") | |
118 | |
119 | |
120 | |
121 if __name__ == "__main__": | |
122 main() |