1 | #include "muscle.h" |
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2 | #include "msa.h" |
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3 | #include "objscore.h" |
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4 | |
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5 | #define TRACE 0 |
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6 | |
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7 | static void WindowSmooth(const SCORE Score[], unsigned uCount, unsigned uWindowLength, |
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8 | SCORE SmoothScore[], double dCeil) |
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9 | { |
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10 | #define Ceil(x) ((SCORE) ((x) > dCeil ? dCeil : (x))) |
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11 | |
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12 | if (1 != uWindowLength%2) |
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13 | Quit("WindowSmooth=%u must be odd", uWindowLength); |
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14 | |
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15 | if (uCount <= uWindowLength) |
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16 | { |
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17 | for (unsigned i = 0; i < uCount; ++i) |
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18 | SmoothScore[i] = 0; |
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19 | return; |
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20 | } |
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21 | |
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22 | const unsigned w2 = uWindowLength/2; |
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23 | for (unsigned i = 0; i < w2; ++i) |
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24 | { |
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25 | SmoothScore[i] = 0; |
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26 | SmoothScore[uCount - i - 1] = 0; |
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27 | } |
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28 | |
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29 | SCORE scoreWindowTotal = 0; |
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30 | for (unsigned i = 0; i < uWindowLength; ++i) |
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31 | { |
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32 | scoreWindowTotal += Ceil(Score[i]); |
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33 | } |
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34 | |
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35 | for (unsigned i = w2; ; ++i) |
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36 | { |
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37 | SmoothScore[i] = scoreWindowTotal/uWindowLength; |
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38 | if (i == uCount - w2 - 1) |
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39 | break; |
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40 | |
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41 | scoreWindowTotal -= Ceil(Score[i - w2]); |
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42 | scoreWindowTotal += Ceil(Score[i + w2 + 1]); |
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43 | } |
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44 | #undef Ceil |
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45 | } |
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46 | |
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47 | // Find columns that score above the given threshold. |
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48 | // A range of scores is defined between the average |
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49 | // and the maximum. The threshold is a fraction 0.0 .. 1.0 |
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50 | // within that range, where 0.0 is the average score |
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51 | // and 1.0 is the maximum score. |
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52 | // "Grade" is by analogy with grading on a curve. |
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53 | static void FindBestColsGrade(const SCORE Score[], unsigned uCount, |
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54 | double dThreshold, unsigned BestCols[], unsigned *ptruBestColCount) |
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55 | { |
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56 | SCORE scoreTotal = 0; |
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57 | for (unsigned uIndex = 0; uIndex < uCount; ++uIndex) |
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58 | scoreTotal += Score[uIndex]; |
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59 | const SCORE scoreAvg = scoreTotal / uCount; |
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60 | |
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61 | SCORE scoreMax = MINUS_INFINITY; |
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62 | for (unsigned uIndex = 0; uIndex < uCount; ++uIndex) |
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63 | if (Score[uIndex] > scoreMax) |
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64 | scoreMax = Score[uIndex]; |
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65 | |
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66 | unsigned uBestColCount = 0; |
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67 | for (unsigned uIndex = 0; uIndex < uCount; ++uIndex) |
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68 | { |
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69 | const SCORE s = Score[uIndex]; |
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70 | const double dHeight = (s - scoreAvg)/(scoreMax - scoreAvg); |
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71 | if (dHeight >= dThreshold) |
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72 | { |
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73 | BestCols[uBestColCount] = uIndex; |
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74 | ++uBestColCount; |
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75 | } |
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76 | } |
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77 | *ptruBestColCount = uBestColCount; |
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78 | } |
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79 | |
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80 | // Best col only if all following criteria satisfied: |
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81 | // (1) Score >= min |
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82 | // (2) Smoothed score >= min |
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83 | // (3) No gaps. |
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84 | static void FindBestColsCombo(const MSA &msa, const SCORE Score[], |
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85 | const SCORE SmoothScore[], double dMinScore, double dMinSmoothScore, |
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86 | unsigned BestCols[], unsigned *ptruBestColCount) |
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87 | { |
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88 | const unsigned uColCount = msa.GetColCount(); |
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89 | |
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90 | unsigned uBestColCount = 0; |
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91 | for (unsigned uIndex = 0; uIndex < uColCount; ++uIndex) |
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92 | { |
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93 | if (Score[uIndex] < dMinScore) |
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94 | continue; |
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95 | if (SmoothScore[uIndex] < dMinSmoothScore) |
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96 | continue; |
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97 | if (msa.ColumnHasGap(uIndex)) |
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98 | continue; |
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99 | BestCols[uBestColCount] = uIndex; |
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100 | ++uBestColCount; |
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101 | } |
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102 | *ptruBestColCount = uBestColCount; |
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103 | } |
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104 | |
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105 | static void ListBestCols(const MSA &msa, const SCORE Score[], const SCORE SmoothScore[], |
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106 | unsigned BestCols[], unsigned uBestColCount) |
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107 | { |
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108 | const unsigned uColCount = msa.GetColCount(); |
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109 | const unsigned uSeqCount = msa.GetSeqCount(); |
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110 | |
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111 | Log("Col "); |
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112 | for (unsigned uSeqIndex = 0; uSeqIndex < uSeqCount; ++uSeqIndex) |
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113 | Log("%u", uSeqIndex%10); |
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114 | Log(" "); |
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115 | |
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116 | for (unsigned uColIndex = 0; uColIndex < uColCount; ++uColIndex) |
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117 | { |
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118 | Log("%3u ", uColIndex); |
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119 | for (unsigned uSeqIndex = 0; uSeqIndex < uSeqCount; ++uSeqIndex) |
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120 | Log("%c", msa.GetChar(uSeqIndex, uColIndex)); |
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121 | |
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122 | Log(" %10.3f", Score[uColIndex]); |
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123 | Log(" %10.3f", SmoothScore[uColIndex]); |
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124 | |
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125 | for (unsigned i = 0; i < uBestColCount; ++i) |
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126 | if (BestCols[i] == uColIndex) |
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127 | Log(" <-- Best"); |
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128 | Log("\n"); |
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129 | } |
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130 | } |
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131 | |
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132 | // If two best columns are found within a window, choose |
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133 | // the highest-scoring. If more than two, choose the one |
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134 | // closest to the center of the window. |
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135 | static void MergeBestCols(const SCORE Scores[], const unsigned BestCols[], |
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136 | unsigned uBestColCount, unsigned uWindowLength, unsigned AnchorCols[], |
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137 | unsigned *ptruAnchorColCount) |
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138 | { |
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139 | unsigned uAnchorColCount = 0; |
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140 | for (unsigned n = 0; n < uBestColCount; /* update inside loop */) |
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141 | { |
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142 | unsigned uBestColIndex = BestCols[n]; |
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143 | unsigned uCountWithinWindow = 0; |
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144 | for (unsigned i = n + 1; i < uBestColCount; ++i) |
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145 | { |
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146 | unsigned uBestColIndex2 = BestCols[i]; |
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147 | if (uBestColIndex2 - uBestColIndex >= uWindowLength) |
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148 | break; |
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149 | ++uCountWithinWindow; |
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150 | } |
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151 | unsigned uAnchorCol = uBestColIndex; |
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152 | if (1 == uCountWithinWindow) |
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153 | { |
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154 | unsigned uBestColIndex2 = BestCols[n+1]; |
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155 | if (Scores[uBestColIndex] > Scores[uBestColIndex2]) |
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156 | uAnchorCol = uBestColIndex; |
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157 | else |
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158 | uAnchorCol = uBestColIndex2; |
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159 | } |
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160 | else if (uCountWithinWindow > 1) |
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161 | { |
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162 | unsigned uWindowCenter = uBestColIndex + uWindowLength/2; |
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163 | int iClosestDist = uWindowLength; |
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164 | unsigned uClosestCol = uBestColIndex; |
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165 | for (unsigned i = n + 1; i < n + uCountWithinWindow; ++i) |
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166 | { |
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167 | unsigned uColIndex = BestCols[i]; |
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168 | int iDist = uColIndex - uBestColIndex; |
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169 | if (iDist < 0) |
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170 | iDist = -iDist; |
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171 | if (iDist < iClosestDist) |
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172 | { |
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173 | uClosestCol = uColIndex; |
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174 | iClosestDist = iDist; |
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175 | } |
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176 | } |
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177 | uAnchorCol = uClosestCol; |
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178 | } |
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179 | AnchorCols[uAnchorColCount] = uAnchorCol; |
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180 | ++uAnchorColCount; |
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181 | n += uCountWithinWindow + 1; |
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182 | } |
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183 | *ptruAnchorColCount = uAnchorColCount; |
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184 | } |
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185 | |
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186 | void FindAnchorCols(const MSA &msa, unsigned AnchorCols[], |
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187 | unsigned *ptruAnchorColCount) |
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188 | { |
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189 | const unsigned uColCount = msa.GetColCount(); |
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190 | if (uColCount < 16) |
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191 | { |
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192 | *ptruAnchorColCount = 0; |
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193 | return; |
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194 | } |
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195 | |
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196 | SCORE *MatchScore = new SCORE[uColCount]; |
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197 | SCORE *SmoothScore = new SCORE[uColCount]; |
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198 | unsigned *BestCols = new unsigned[uColCount]; |
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199 | |
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200 | GetLetterScores(msa, MatchScore); |
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201 | WindowSmooth(MatchScore, uColCount, g_uSmoothWindowLength, SmoothScore, |
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202 | g_dSmoothScoreCeil); |
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203 | |
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204 | unsigned uBestColCount; |
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205 | FindBestColsCombo(msa, MatchScore, SmoothScore, g_dMinBestColScore, g_dMinSmoothScore, |
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206 | BestCols, &uBestColCount); |
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207 | |
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208 | #if TRACE |
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209 | ListBestCols(msa, MatchScore, SmoothScore, BestCols, uBestColCount); |
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210 | #endif |
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211 | |
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212 | MergeBestCols(MatchScore, BestCols, uBestColCount, g_uAnchorSpacing, AnchorCols, |
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213 | ptruAnchorColCount); |
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214 | |
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215 | delete[] MatchScore; |
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216 | delete[] SmoothScore; |
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217 | delete[] BestCols; |
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218 | } |
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