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1 #!/usr/bin/env python
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2
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3 import csv
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4 import sys
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5 import re
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6
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7 import CGData.ProbeMap
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8 import CGData.GenomicMatrix
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9
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10 class ProbeMapper(object):
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11 """
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12 Class to map the probes. Expects handle to the refGene_hg18.table file
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13 """
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14
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15 def __init__(self, mode='g'):
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16 self.cmp_func = optionMap[mode]
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17
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18 def find_overlap(self, segment, ref_gene, cmp_func=None):
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19 """
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20 Function to find overlaps for a given probe description.
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21 the cmp_func arg is a function that returns a 'True' or 'False' for
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22 a given probe description and a gene, examples include 'gene_overlap'
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23 and 'gene_simple_meth_overlap'
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24 """
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25 if cmp_func is None:
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26 cmp_func = self.cmp_func
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27 if not ref_gene.has_chrom(segment.chrom):
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28 return []
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29 chromList = ref_gene.get_chrom(segment.chrom)
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30
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31 out = []
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32 for gene in chromList:
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33 if cmp_func(segment.chrom_start,
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34 segment.chrom_end, segment.strand, gene):
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35 out.append(gene)
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36 return out
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37
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38
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39 #
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40 # The set of functions that can be used to do comparisons
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41 #
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42
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43
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44 def block_both_strand(start, end, strand, gene):
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45 """
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46 Check is segment is between gene start and end, either strand
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47
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48 **Code 'b'**
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49 """
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50 if gene.chrom_end >= start and gene.chrom_start <= end:
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51 return True
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52 return False
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53
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54 def block_same_strand(start, end, strand, gene):
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55 """
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56 Check is segment is on same strand, between gene start and end
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57
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58 **Code 's'**
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59 """
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60 if gene.chrom_end >= start and gene.chrom_start <= end and strand == gene.strand:
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61 return True
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62 return False
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63
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64
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65 def exon_same_strand(start, end, strand, gene):
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66 """
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67 Check is segment is on same strand, and occurs on an exon
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68
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69 **Code 'g'**
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70 """
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71
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72 if gene.strand != strand:
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73 return False
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74 for i in range(int(gene.ex_count)):
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75 if gene.ex_end[i] >= start and gene.ex_start[i] <= end:
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76 return True
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77 return False
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78
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79
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80 def exon_both_strand(start, end, strand, gene):
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81 """
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82 Check is segment occurs on an exon, on either stand
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83
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84 **Code 'e'**
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85 """
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86 for i in range(int(gene.ex_count)):
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87 if gene.ex_end[i] >= start and gene.ex_start[i] <= end:
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88 return True
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89 return False
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90
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91 def block_same_strand_coverage75(start, end, strand, gene):
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92 if gene.chrom_end >= start and gene.chrom_start <= end and strand == gene.strand:
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93 cov = min(gene.chrom_end,end) - max(gene.chrom_start, start)
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94 if float(cov) / float(end - start) > 0.75:
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95 return True
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96 return False
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97
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98
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99 def exon_same_strand_coverage75(start, end, strand, gene):
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100 if strand != gene.strand:
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101 return False
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102 cov = 0
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103 for i in range(int(gene.ex_count)):
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104 if gene.ex_end[i] >= start and gene.ex_start[i] <= end:
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105 cov += min(gene.ex_end[i],end) - max(gene.ex_start[i], start)
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106 if float(cov) / float(end - start) > 0.75:
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107 return True
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108 return False
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109
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110
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111 class Intersector:
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112 def __init__(self, same_strand=True, exons=False, coverage=None, start_rel_cdsStart=None, end_rel_cdsStart=None, start_rel_tss=None, end_rel_tss=None):
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113 self.same_strand = same_strand
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114 self.exons = exons
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115 self.coverage = coverage
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116 self.start_rel_tss = start_rel_tss
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117 self.end_rel_tss = end_rel_tss
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118 self.start_rel_cdsStart = start_rel_cdsStart
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119 self.end_rel_cdsStart = end_rel_cdsStart
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120
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121 def hit(self, start, end, strand, gene):
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122 if self.same_strand and strand != gene.strand:
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123 return False
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124
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125 if self.exons:
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126 cov = 0
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127 for i in range(int(gene.ex_count)):
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128 if gene.ex_end[i] >= start and gene.ex_start[i] <= end:
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129 cov += min(gene.ex_end[i],end) - max(gene.ex_start[i], start)
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130 if self.coverage is None and cov > 0:
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131 return True
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132 else:
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133 if float(cov) / float(end - start) > self.coverage:
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134 return True
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135 else:
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136 wStart = gene.chrom_start
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137 wEnd = gene.chrom_end
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138
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139 if self.start_rel_cdsStart is not None:
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140 if gene.strand == "+":
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141 wStart = gene.cds_start + self.start_rel_cdsStart
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142 if gene.strand == "-":
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143 wStart = gene.cds_end - self.start_rel_cdsStart
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144 if self.end_rel_cdsStart is not None:
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145 if gene.strand == "+":
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146 wEnd = gene.cds_start + self.end_rel_cdsStart
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147 if gene.strand == "-":
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148 wEnd = gene.cds_end - self.end_rel_cdsStart
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149
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150 if self.start_rel_tss is not None:
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151 if gene.strand == "+":
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152 wStart = gene.chrom_start + self.start_rel_tss
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153 if gene.strand == "-":
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154 wStart = gene.chrom_end - self.start_rel_tss
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155 if self.end_rel_tss is not None:
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156 if gene.strand == "+":
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157 wEnd = gene.chrom_start + self.end_rel_tss
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158 if gene.strand == "-":
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159 wEnd = gene.chrom_end - self.end_rel_tss
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160
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161 cstart = min(wEnd, wStart)
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162 cend = max(wEnd, wStart)
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163 if cend >= start and cstart <= end:
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164 cov = min(gene.chrom_end,end) - max(gene.chrom_start, start)
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165 if self.coverage is None and cov > 0:
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166 return True
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167 else:
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168 if float(cov) / float(end - start) > 0.75:
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169 return True
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170
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171 return False
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172
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173
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174
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175 ###ADD MORE FUNCTIONS HERE
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176
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177
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178 ####
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179
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180 ###To add options to the command line, map the option character to a function
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181 ###for example '-m' maps to gene_simple_meth_overlap
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182
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183 optionMap = {
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184 "b": block_both_strand,
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185 "s": block_same_strand,
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186 "g": exon_same_strand,
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187 "e": exon_both_strand
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188 }
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189
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190
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191
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192 def genomicSegment2Matrix(genomicSegment, refGene, probeMapper):
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193 """
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194 Take a genomicSegment map, compare it against a refGene table,
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195 and contruct a genomicMatrix
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196 """
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197 out = CGData.GenomicMatrix.GenomicMatrix()
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198 out.init_blank( rows=refGene.get_gene_list(), cols=genomicSegment.get_key_list() )
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199 for id in genomicSegment.get_key_list():
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200 for segment in genomicSegment.get_by(id):
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201 for hit in probeMapper.find_overlap( segment, refGene ):
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202 out.set_val(row_name=hit.name, col_name=segment.id, value=segment.value )
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203 return out
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204
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205
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206 def filter_longest_form(refgene):
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207 """
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208 take a refgene table and filter multiple gene isoforms down to the longest
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209 """
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210 ng = CGData.RefGene.RefGene()
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211 for g in refgene.get_gene_list():
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212 longest = None
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213 length = 0
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214 for elem in refgene.get_gene(g):
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215 newLength = elem.chrom_end - elem.chrom_start
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216 if newLength > length:
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217 length = newLength
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218 longest = elem
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219 ng.add(longest)
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220 ng.loaded = True
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221 return ng
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222
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223
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224 def genomicSegment2MatrixNorm(genomicSegment, refGene, probeMapper):
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225 """
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226 Given
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227 """
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228 ng = filter_longest_form(refGene)
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229 #enumerate the col order of the sample ids
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230 idList = genomicSegment.get_key_list()
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231
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232 geneList = ng.get_gene_list()
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233
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234 tmp = CGData.GenomicMatrix.GenomicMatrix()
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235 tmp.init_blank( rows=geneList, cols=idList )
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236 geneHits = {}
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237 #read through the segment one sample id at a time
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238 for id in idList:
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239 segmentMap = {}
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240 for segment in genomicSegment.get_by(id):
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241 for hit in probeMapper.find_overlap( segment, ng ):
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242 span = float(min(segment.chrom_end, hit.chrom_end) - max(segment.chrom_start, hit.chrom_start)) / float(hit.chrom_end - hit.chrom_start)
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243 #if hit.name not in segmentMap:
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244 # segmentMap[hit.name] = []
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245 try:
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246 segmentMap[hit.name].append(
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247 ( span, segment.value )
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248 )
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249 except KeyError:
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250 segmentMap[hit.name] = [
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251 ( span, segment.value )
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252 ]
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253
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254 for gene in segmentMap:
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255 geneHits[gene] = True
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256 mapInfo = segmentMap[gene]
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257 coverage = sum( i[0] for i in mapInfo )
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258 assert coverage <= 1.0
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259 value = sum( i[0]*i[1] for i in mapInfo )
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260 #print coverage, value, value/coverage, segmentMap[gene]
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261 tmp.set_val(row_name=gene, col_name=id, value=value/coverage)
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262
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263 #now remove the blanks
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264 out = CGData.GenomicMatrix.GenomicMatrix()
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265 out.init_blank( rows=geneHits, cols=idList )
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266 for gene in geneHits:
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267 for sample in idList:
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268 out.set_val( row_name=gene, col_name=sample, value=tmp.get_val(row_name=gene, col_name=sample))
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269 return out
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270
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271
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272
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273 def aliasRemap(genomicMatrix, aliasMap):
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274 """
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275 Given a genomicMatrix and an alias map, create a new genomic matrix
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276 with the probes from the original matrix remapped to the connected aliases
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277 from the map
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278 """
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279
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280 am = {}
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281 for probe in aliasMap.get_key_list():
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282 for alias in aliasMap.get_by(probe):
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283 if alias not in am:
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284 am[alias.alias] = {}
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285 am[alias.alias][probe] = True
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286
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287 out = CGData.GenomicMatrix.GenomicMatrix()
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288 out.init_blank( rows=am.keys(), cols=genomicMatrix.get_col_list() )
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289 probeMap = genomicMatrix.get_row_map()
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290 for a in am:
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291 for sample in genomicMatrix.get_col_list():
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292 o = []
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293 for p in am[a]:
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294 if p in probeMap:
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295 o.append( genomicMatrix.get_val( col_name=sample, row_name=p) )
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296 if len(o):
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297 out.set_val(col_name=sample, row_name=a, value=sum(o) / float(len(o)))
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298
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299 return out
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300
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301 def refGeneLink2ProbeLoc(aliasMap, refGene):
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302 """
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303 given an alias map, and a refGene produce a probeMap by connecting
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304 alias symbols. Returns the coordinates of the longest form
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305 """
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306 out = CGData.ProbeLoc.ProbeLoc()
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307 out.init_blank()
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308
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309 for probe in aliasMap.get_key_list():
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310 for link in aliasMap.get_by(probe):
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311 probe = link.probe
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312 geneName = link.alias
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313 sGene = None
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314 try:
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315 for gene in refGene.get_gene(geneName):
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316 if sGene is None or gene.chrom_end - gene.chrom_start > sGene.chrom_end - sGene.chrom_start:
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317 sGene = gene
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318 except KeyError:
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319 pass
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320 if sGene is not None:
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321 out.insert(probe, { 'probe' : probe, 'chrom' : sGene.chrom, 'strand' : sGene.strand, 'chrom_start' : sGene.chrom_start, 'chrom_end' : sGene.chrom_end })
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322 return out
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323
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324
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325
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326
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327
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