/* * Jalview - A Sequence Alignment Editor and Viewer ($$Version-Rel$$) * Copyright (C) $$Year-Rel$$ The Jalview Authors * * This file is part of Jalview. * * Jalview is free software: you can redistribute it and/or * modify it under the terms of the GNU General Public License * as published by the Free Software Foundation, either version 3 * of the License, or (at your option) any later version. * * Jalview is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty * of MERCHANTABILITY or FITNESS FOR A PARTICULAR * PURPOSE. See the GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with Jalview. If not, see . * The Jalview Authors are detailed in the 'AUTHORS' file. */ package jalview.analysis.scoremodels; import jalview.analysis.AlignSeq; import jalview.api.analysis.ScoreModelI; import jalview.datamodel.AlignmentView; import jalview.datamodel.SequenceI; import jalview.util.Comparison; public class SWScoreModel implements ScoreModelI { @Override public float[][] findDistances(AlignmentView seqData) { SequenceI[] sequenceString = seqData.getVisibleAlignment( Comparison.GapChars.charAt(0)).getSequencesArray(); int noseqs = sequenceString.length; float[][] distance = new float[noseqs][noseqs]; float max = -1; for (int i = 0; i < (noseqs - 1); i++) { for (int j = i; j < noseqs; j++) { AlignSeq as = new AlignSeq(sequenceString[i], sequenceString[j], seqData.isNa() ? "dna" : "pep"); as.calcScoreMatrix(); as.traceAlignment(); as.printAlignment(System.out); distance[i][j] = (float) as.maxscore; if (max < distance[i][j]) { max = distance[i][j]; } } } for (int i = 0; i < (noseqs - 1); i++) { for (int j = i; j < noseqs; j++) { distance[i][j] = max - distance[i][j]; distance[j][i] = distance[i][j]; } } return distance; } @Override public String getName() { return "Smith Waterman Score"; } @Override public boolean isDNA() { return true; } @Override public boolean isProtein() { return true; } public String toString() { return "Score between two sequences aligned with Smith Waterman with default Peptide/Nucleotide matrix"; } }