X-Git-Url: http://source.jalview.org/gitweb/?a=blobdiff_plain;f=src%2Fjalview%2Fanalysis%2Fscoremodels%2FScoreMatrix.java;h=b206339805cf4d1f026c15eb34f3987a21a543b9;hb=cd84efbd9723bf4a92f2be2e04183612e4ce0a6e;hp=8bc2c045ee23246b3c1ad557f9e987b735c6e873;hpb=1ee1c1730f3b52aee4d039b416f276a1c55257df;p=jalview.git diff --git a/src/jalview/analysis/scoremodels/ScoreMatrix.java b/src/jalview/analysis/scoremodels/ScoreMatrix.java index 8bc2c04..b206339 100644 --- a/src/jalview/analysis/scoremodels/ScoreMatrix.java +++ b/src/jalview/analysis/scoremodels/ScoreMatrix.java @@ -20,9 +20,10 @@ */ package jalview.analysis.scoremodels; +import jalview.api.AlignmentViewPanel; import jalview.api.analysis.PairwiseScoreModelI; +import jalview.api.analysis.ScoreModelI; import jalview.api.analysis.SimilarityParamsI; -import jalview.api.analysis.SimilarityScoreModelI; import jalview.datamodel.AlignmentView; import jalview.math.Matrix; import jalview.math.MatrixI; @@ -32,10 +33,11 @@ import java.util.Arrays; /** * A class that models a substitution score matrix for any given alphabet of - * symbols + * symbols. Instances of this class are immutable and thread-safe, so the same + * object is returned from calls to getInstance(). */ -public class ScoreMatrix implements SimilarityScoreModelI, - PairwiseScoreModelI +public class ScoreMatrix extends SimilarityScoreModel + implements PairwiseScoreModelI { private static final char GAP_CHARACTER = Comparison.GAP_DASH; @@ -97,6 +99,8 @@ public class ScoreMatrix implements SimilarityScoreModelI, private float maxValue; + private boolean symmetric; + /** * Constructor given a name, symbol alphabet, and matrix of scores for pairs * of symbols. The matrix should be square and of the same size as the @@ -111,6 +115,26 @@ public class ScoreMatrix implements SimilarityScoreModelI, */ public ScoreMatrix(String theName, char[] alphabet, float[][] values) { + this(theName, null, alphabet, values); + } + + /** + * Constructor given a name, description, symbol alphabet, and matrix of + * scores for pairs of symbols. The matrix should be square and of the same + * size as the alphabet, for example 20x20 for a 20 symbol alphabet. + * + * @param theName + * Unique, human readable name for the matrix + * @param theDescription + * descriptive display name suitable for use in menus + * @param alphabet + * the symbols to which scores apply + * @param values + * Pairwise scores indexed according to the symbol alphabet + */ + public ScoreMatrix(String theName, String theDescription, char[] alphabet, + float[][] values) + { if (alphabet.length != values.length) { throw new IllegalArgumentException( @@ -127,12 +151,15 @@ public class ScoreMatrix implements SimilarityScoreModelI, this.matrix = values; this.name = theName; + this.description = theDescription; this.symbols = alphabet; symbolIndex = buildSymbolIndex(alphabet); findMinMax(); + symmetric = checkSymmetry(); + /* * crude heuristic for now... */ @@ -140,6 +167,27 @@ public class ScoreMatrix implements SimilarityScoreModelI, } /** + * Answers true if the matrix is symmetric, else false. Usually, substitution + * matrices are symmetric, which allows calculations to be short cut. + * + * @return + */ + private boolean checkSymmetry() + { + for (int i = 0; i < matrix.length; i++) + { + for (int j = i; j < matrix.length; j++) + { + if (matrix[i][j] != matrix[j][i]) + { + return false; + } + } + } + return true; + } + + /** * Record the minimum and maximum score values */ protected void findMinMax() @@ -411,6 +459,7 @@ public class ScoreMatrix implements SimilarityScoreModelI, *
  • product[0, 1] = F.R + K.- + L.D = -3 + -1 + -3 = -8 *
  • and so on
  • * + * This method is thread-safe. */ @Override public MatrixI findSimilarities(AlignmentView seqstrings, @@ -430,16 +479,20 @@ public class ScoreMatrix implements SimilarityScoreModelI, * @param params * @return */ - protected MatrixI findSimilarities(String[] seqs, SimilarityParamsI params) + protected MatrixI findSimilarities(String[] seqs, + SimilarityParamsI params) { - double[][] values = new double[seqs.length][]; + double[][] values = new double[seqs.length][seqs.length]; for (int row = 0; row < seqs.length; row++) { - values[row] = new double[seqs.length]; - for (int col = 0; col < seqs.length; col++) + for (int col = symmetric ? row : 0; col < seqs.length; col++) { double total = computeSimilarity(seqs[row], seqs[col], params); values[row][col] = total; + if (symmetric) + { + values[col][row] = total; + } } } return new Matrix(values); @@ -552,11 +605,6 @@ public class ScoreMatrix implements SimilarityScoreModelI, return new String(symbols); } - public void setDescription(String desc) - { - description = desc; - } - public float getMinimumScore() { return minValue; @@ -566,4 +614,15 @@ public class ScoreMatrix implements SimilarityScoreModelI, { return maxValue; } + + @Override + public ScoreModelI getInstance(AlignmentViewPanel avp) + { + return this; + } + + public boolean isSymmetric() + { + return symmetric; + } }