// ========================================================================== // SeqAn - The Library for Sequence Analysis // ========================================================================== // Copyright (c) 2006-2018, Knut Reinert, FU Berlin // All rights reserved. // // Redistribution and use in source and binary forms, with or without // modification, are permitted provided that the following conditions are met: // // * Redistributions of source code must retain the above copyright // notice, this list of conditions and the following disclaimer. // * Redistributions in binary form must reproduce the above copyright // notice, this list of conditions and the following disclaimer in the // documentation and/or other materials provided with the distribution. // * Neither the name of Knut Reinert or the FU Berlin nor the names of // its contributors may be used to endorse or promote products derived // from this software without specific prior written permission. // // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE // ARE DISCLAIMED. IN NO EVENT SHALL KNUT REINERT OR THE FU BERLIN BE LIABLE // FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL // DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR // SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER // CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT // LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY // OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH // DAMAGE. // // ========================================================================== // Author: Rene Rahn <rene.rahn@fu-berlin.de> // ========================================================================== // Defines the methods to compute the score when using linear gap costs. // ========================================================================== #ifndef SEQAN_INCLUDE_SEQAN_ALIGN_DP_FORMULA_LINEAR_H_ #define SEQAN_INCLUDE_SEQAN_ALIGN_DP_FORMULA_LINEAR_H_ namespace seqan { // ============================================================================ // Forwards // ============================================================================ // ============================================================================ // Tags, Classes, Enums // ============================================================================ // ============================================================================ // Metafunctions // ============================================================================ // ============================================================================ // Functions // ============================================================================ // ---------------------------------------------------------------------------- // Function _computeScore [RecursionDirectionAll, LinearGaps] // ---------------------------------------------------------------------------- template <typename TScoreValue, typename TSequenceHValue, typename TSequenceVValue, typename TScoringScheme, typename TAlgorithm, typename TTracebackConfig, typename TExecPolicy> inline typename TraceBitMap_<TScoreValue>::Type _computeScore(DPCell_<TScoreValue, LinearGaps> & current, DPCell_<TScoreValue, LinearGaps> & previousDiagonal, DPCell_<TScoreValue, LinearGaps> const & previousHorizontal, DPCell_<TScoreValue, LinearGaps> & previousVertical, TSequenceHValue const & seqHVal, TSequenceVValue const & seqVVal, TScoringScheme const & scoringScheme, RecursionDirectionAll const &, DPProfile_<TAlgorithm, LinearGaps, TTracebackConfig, TExecPolicy> const &) { // Cache next diagonal. auto intermediate = static_cast<TScoreValue>(_scoreOfCell(previousDiagonal) + score(scoringScheme, seqHVal, seqVVal)); previousDiagonal = _scoreOfCell(previousHorizontal); auto tv = _maxScore(_scoreOfCell(current), _scoreOfCell(previousVertical)+ scoreGapExtendVertical(scoringScheme, seqHVal, seqVVal), _scoreOfCell(previousHorizontal) + scoreGapExtendHorizontal(scoringScheme, seqHVal, seqVVal), TraceBitMap_<TScoreValue>::VERTICAL | TraceBitMap_<TScoreValue>::MAX_FROM_VERTICAL_MATRIX, TraceBitMap_<TScoreValue>::HORIZONTAL | TraceBitMap_<TScoreValue>::MAX_FROM_HORIZONTAL_MATRIX, TTracebackConfig{}); // Compute the intermediate value. tv = _maxScore(_scoreOfCell(current), intermediate, _scoreOfCell(current), TraceBitMap_<TScoreValue>::DIAGONAL, tv, TTracebackConfig()); if (IsLocalAlignment_<TAlgorithm>::VALUE) { tv = _maxScore(_scoreOfCell(current), TraceBitMap_<TScoreValue>::NONE, _scoreOfCell(current), TraceBitMap_<TScoreValue>::NONE, tv, TTracebackConfig{}); } previousVertical = current; return tv; } // ---------------------------------------------------------------------------- // Function _computeScore [RecursionDirectionUpperDiagonal, LinearGaps] // ---------------------------------------------------------------------------- template <typename TScoreValue, typename TSequenceHValue, typename TSequenceVValue, typename TScoringScheme, typename TAlgorithm, typename TTracebackConfig, typename TExecPolicy> inline typename TraceBitMap_<TScoreValue>::Type _computeScore(DPCell_<TScoreValue, LinearGaps> & current, DPCell_<TScoreValue, LinearGaps> & previousDiagonal, DPCell_<TScoreValue, LinearGaps> const & previousHorizontal, DPCell_<TScoreValue, LinearGaps> & previousVertical, TSequenceHValue const & seqHVal, TSequenceVValue const & seqVVal, TScoringScheme const & scoringScheme, RecursionDirectionUpperDiagonal const &, DPProfile_<TAlgorithm, LinearGaps, TTracebackConfig, TExecPolicy> const &) { // Precalculate diagonal direction. auto intermediate = static_cast<TScoreValue>(_scoreOfCell(previousDiagonal) + score(scoringScheme, seqHVal, seqVVal)); // Cache next diagonal value. previousDiagonal = _scoreOfCell(previousHorizontal); auto tv = _maxScore(_scoreOfCell(current), intermediate, _scoreOfCell(previousHorizontal) + scoreGapExtendHorizontal(scoringScheme, seqHVal, seqVVal), TraceBitMap_<TScoreValue>::DIAGONAL, TraceBitMap_<TScoreValue>::HORIZONTAL | TraceBitMap_<TScoreValue>::MAX_FROM_HORIZONTAL_MATRIX, TTracebackConfig()); if (IsLocalAlignment_<TAlgorithm>::VALUE) { tv = _maxScore(_scoreOfCell(current), TraceBitMap_<TScoreValue>::NONE, _scoreOfCell(current), TraceBitMap_<TScoreValue>::NONE, tv, TTracebackConfig{}); } previousVertical = current; return tv; } // ---------------------------------------------------------------------------- // Function _computeScore [RecursionDirectionLowerDiagonal, LinearGaps] // ---------------------------------------------------------------------------- template <typename TScoreValue, typename TSequenceHValue, typename TSequenceVValue, typename TScoringScheme, typename TAlgorithm, typename TTracebackConfig, typename TExecPolicy> inline typename TraceBitMap_<TScoreValue>::Type _computeScore(DPCell_<TScoreValue, LinearGaps> & current, DPCell_<TScoreValue, LinearGaps> const & previousDiagonal, DPCell_<TScoreValue, LinearGaps> const & /*previousHorizontal*/, DPCell_<TScoreValue, LinearGaps> const & previousVertical, TSequenceHValue const & seqHVal, TSequenceVValue const & seqVVal, TScoringScheme const & scoringScheme, RecursionDirectionLowerDiagonal const &, DPProfile_<TAlgorithm, LinearGaps, TTracebackConfig, TExecPolicy> const &) { auto tv = _maxScore(_scoreOfCell(current), static_cast<TScoreValue>(_scoreOfCell(previousDiagonal) + score(scoringScheme, seqHVal, seqVVal)), static_cast<TScoreValue>(_scoreOfCell(previousVertical) + scoreGapExtendVertical(scoringScheme, seqHVal, seqVVal)), TraceBitMap_<TScoreValue>::DIAGONAL, TraceBitMap_<TScoreValue>::VERTICAL | TraceBitMap_<TScoreValue>::MAX_FROM_VERTICAL_MATRIX, TTracebackConfig()); if (IsLocalAlignment_<TAlgorithm>::VALUE) { tv = _maxScore(_scoreOfCell(current), TraceBitMap_<TScoreValue>::NONE, _scoreOfCell(current), TraceBitMap_<TScoreValue>::NONE, tv, TTracebackConfig{}); } return tv; } // ---------------------------------------------------------------------------- // Function _computeScore [RecursionDirectionHorizontal] // ---------------------------------------------------------------------------- template <typename TScoreValue, typename TSequenceHValue, typename TSequenceVValue, typename TScoringScheme, typename TAlgorithm, typename TTracebackConfig, typename TExecPolicy> inline typename TraceBitMap_<TScoreValue>::Type _computeScore(DPCell_<TScoreValue, LinearGaps> & activeCell, DPCell_<TScoreValue, LinearGaps> & previousDiagonal, DPCell_<TScoreValue, LinearGaps> const & previousHorizontal, DPCell_<TScoreValue, LinearGaps> & previousVertical, TSequenceHValue const & seqHVal, TSequenceVValue const & seqVVal, TScoringScheme const & scoringScheme, RecursionDirectionHorizontal const &, DPProfile_<TAlgorithm, LinearGaps, TTracebackConfig, TExecPolicy> const &) { // Cache previous diagonal. previousDiagonal = previousHorizontal; // Compute current value. _scoreOfCell(activeCell) = _scoreOfCell(previousHorizontal) + scoreGapExtendHorizontal(scoringScheme, seqHVal, seqVVal); auto tv = TraceBitMap_<TScoreValue>::HORIZONTAL | TraceBitMap_<TScoreValue>::MAX_FROM_HORIZONTAL_MATRIX; if (IsLocalAlignment_<TAlgorithm>::VALUE) { tv = _maxScore(_scoreOfCell(activeCell), TraceBitMap_<TScoreValue>::NONE, _scoreOfCell(activeCell), TraceBitMap_<TScoreValue>::NONE, tv, TTracebackConfig{}); } // Cache next vertical. previousVertical = activeCell; return tv; } // ---------------------------------------------------------------------------- // Function _computeScore [RecursionDirectionVertical] // ---------------------------------------------------------------------------- template <typename TScoreValue, typename TSequenceHValue, typename TSequenceVValue, typename TScoringScheme, typename TAlgorithm, typename TTracebackConfig, typename TExecPolicy> inline typename TraceBitMap_<TScoreValue>::Type _computeScore(DPCell_<TScoreValue, LinearGaps> & current, DPCell_<TScoreValue, LinearGaps> const & /*previousDiagonal*/, DPCell_<TScoreValue, LinearGaps> const & /*previousHorizontal*/, DPCell_<TScoreValue, LinearGaps> & previousVertical, TSequenceHValue const & seqHVal, TSequenceVValue const & seqVVal, TScoringScheme const & scoringScheme, RecursionDirectionVertical const &, DPProfile_<TAlgorithm, LinearGaps, TTracebackConfig, TExecPolicy> const &) { _scoreOfCell(current) = _scoreOfCell(previousVertical) + scoreGapExtendVertical(scoringScheme, seqHVal, seqVVal); auto tv = TraceBitMap_<TScoreValue>::VERTICAL | TraceBitMap_<TScoreValue>::MAX_FROM_VERTICAL_MATRIX; if (IsLocalAlignment_<TAlgorithm>::VALUE) { tv = _maxScore(_scoreOfCell(current), TraceBitMap_<TScoreValue>::NONE, _scoreOfCell(current), TraceBitMap_<TScoreValue>::NONE, tv, TTracebackConfig{}); } // Cache previous vertical. previousVertical = current; return tv; } } // namespace seqan #endif // #ifndef SEQAN_INCLUDE_SEQAN_ALIGN_DP_FORMULA_LINEAR_H_