1 | #ifndef _theplu_yat_utility_alignment_ |
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2 | #define _theplu_yat_utility_alignment_ |
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3 | |
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4 | // $Id: Alignment.h 1514 2008-09-19 19:58:49Z peter $ |
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5 | |
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6 | /* |
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7 | Copyright (C) 2004 Jari Häkkinen, Peter Johansson |
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8 | Copyright (C) 2005 Peter Johansson |
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9 | Copyright (C) 2006 Jari Häkkinen |
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10 | Copyright (C) 2007 Jari Häkkinen, Peter Johansson |
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11 | Copyright (C) 2008 Peter Johansson |
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12 | |
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13 | This file is part of the yat library, http://dev.thep.lu.se/yat |
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14 | |
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15 | The yat library is free software; you can redistribute it and/or |
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16 | modify it under the terms of the GNU General Public License as |
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17 | published by the Free Software Foundation; either version 3 of the |
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18 | License, or (at your option) any later version. |
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19 | |
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20 | The yat library is distributed in the hope that it will be useful, |
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21 | but WITHOUT ANY WARRANTY; without even the implied warranty of |
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22 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU |
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23 | General Public License for more details. |
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24 | |
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25 | You should have received a copy of the GNU General Public License |
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26 | along with yat. If not, see <http://www.gnu.org/licenses/>. |
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27 | */ |
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28 | |
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29 | #include <string> |
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30 | #include <utility> |
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31 | #include <vector> |
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32 | |
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33 | namespace theplu { |
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34 | namespace yat { |
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35 | namespace utility { |
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36 | |
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37 | class Matrix; |
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38 | |
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39 | /// |
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40 | /// Function performing alignment following the Needleman-Wunch |
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41 | /// algorithm. The algorithm starts from the dot-matrix, \a s, where |
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42 | /// \f$ s_{ij} \f$ describes how well element \f$ i \f$ in the first |
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43 | /// sequence match to element \f$ j \f$ in the second sequence. A |
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44 | /// path through this matrix corresponds to an alignment of the two |
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45 | /// sequences, in which a diagonal step over a matrix element |
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46 | /// corresponds to a match between the corresponding sequnce |
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47 | /// elements and a vertical or a horizontal step corresponds to |
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48 | /// inserting a gap in one of the sequnces. The function maximizes |
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49 | /// \f$ \sum s_{ij}-n \f$ \a gap, where the first sum goes over all |
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50 | /// matches and the second term is a penalty term for inserting \f$ |
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51 | /// n \f$ gaps. Default is to have the \a gap cost set to zero. The |
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52 | /// vector \a path contains information about which elements that |
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53 | /// were matched. If the first element in the first sequence was |
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54 | /// matched to the first element in the second sequence, the last |
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55 | /// element in \a path is pair(0,0). |
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56 | /// |
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57 | /// @return the global maximum alignment score. |
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58 | /// |
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59 | double NeedlemanWunsch(const utility::Matrix& s, |
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60 | std::vector<std::pair<size_t, size_t> >& path, |
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61 | const double gap); |
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62 | |
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63 | /** |
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64 | \brief Local alignment following the Smith-Waterman |
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65 | algorithm. |
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66 | |
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67 | The original paper can be found here: |
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68 | http://gel.ym.edu.tw/~chc/AB_papers/03.pdf |
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69 | |
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70 | Instead of looking at each sequence in its entirety the S-W algorithm |
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71 | compares segment of all possible lengths (LOCAL alignment) and chooses |
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72 | whichever maximises the similarity measure. |
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73 | |
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74 | \param s score matrix in which element \f$(i,j)\f$ is the score between |
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75 | element \f$i\f$ in first sequence vs element \f$j\f$ in second sequence. |
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76 | \param gap cost for having a gap (insertion or deletion) |
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77 | \param open_gap cost for open up a gap in sequence, in other words, for a |
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78 | gap of length \f$l\f$ the total cost is \f$open_gap + l*gap\f$. |
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79 | */ |
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80 | double SmithWaterman(const utility::Matrix& s, |
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81 | double gap, double open_gap); |
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82 | |
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83 | /** |
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84 | SSearch does a rigorous Smith-Waterman search for similarity between |
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85 | sequnces. For long sequences this may be very expensive (both in time and |
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86 | space) and BLAST or FASTA is preferable. |
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87 | |
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88 | @return score |
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89 | */ |
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90 | double ssearch(std::string first, std::string second, double gap, |
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91 | double open_gap); |
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92 | |
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93 | }}} // of namespace utility, yat, and theplu |
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94 | |
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95 | #endif |
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