X-Git-Url: http://source.jalview.org/gitweb/?a=blobdiff_plain;f=src%2Fjalview%2Fanalysis%2Fscoremodels%2FScoreMatrix.java;h=9bec6e4cd7d795f6d0b621cf34c74f2171619f58;hb=773ac00a0ac2eb882e993e567a650ee4d7df3dda;hp=41d73838b98e6b83c690c7d0d009816d40d1d5b9;hpb=baad2f0ba2b171dd3d52c17afa46ef800334ea5e;p=jalview.git diff --git a/src/jalview/analysis/scoremodels/ScoreMatrix.java b/src/jalview/analysis/scoremodels/ScoreMatrix.java index 41d7383..9bec6e4 100644 --- a/src/jalview/analysis/scoremodels/ScoreMatrix.java +++ b/src/jalview/analysis/scoremodels/ScoreMatrix.java @@ -22,7 +22,6 @@ package jalview.analysis.scoremodels; import jalview.api.analysis.PairwiseScoreModelI; import jalview.api.analysis.SimilarityParamsI; -import jalview.api.analysis.SimilarityScoreModelI; import jalview.datamodel.AlignmentView; import jalview.math.Matrix; import jalview.math.MatrixI; @@ -30,9 +29,22 @@ import jalview.util.Comparison; import java.util.Arrays; -public class ScoreMatrix implements SimilarityScoreModelI, +/** + * A class that models a substitution score matrix for any given alphabet of + * symbols. Instances of this class are immutable and thread-safe. + */ +public class ScoreMatrix extends SimilarityScoreModel implements PairwiseScoreModelI { + private static final char GAP_CHARACTER = Comparison.GAP_DASH; + + /* + * an arbitrary score to assign for identity of an unknown symbol + * (this is the value on the diagonal in the * column of the NCBI matrix) + * (though a case could be made for using the minimum diagonal value) + */ + private static final int UNKNOWN_IDENTITY_SCORE = 1; + /* * Jalview 2.10.1 treated gaps as X (peptide) or N (nucleotide) * for pairwise scoring; 2.10.2 uses gap score (last column) in @@ -49,10 +61,16 @@ public class ScoreMatrix implements SimilarityScoreModelI, /* * the name of the model as shown in menus + * each score model in use should have a unique name */ private String name; /* + * a description for the model as shown in tooltips + */ + private String description; + + /* * the characters that the model provides scores for */ private char[] symbols; @@ -74,26 +92,50 @@ public class ScoreMatrix implements SimilarityScoreModelI, */ private boolean peptide; + private float minValue; + + private float maxValue; + /** * 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 * alphabet, for example 20x20 for a 20 symbol alphabet. * - * @param name + * @param theName + * Unique, human readable name for the matrix + * @param alphabet + * the symbols to which scores apply + * @param values + * Pairwise scores indexed according to the symbol alphabet + */ + 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 matrix + * @param values * Pairwise scores indexed according to the symbol alphabet */ - public ScoreMatrix(String name, char[] alphabet, float[][] matrix) + public ScoreMatrix(String theName, String theDescription, + char[] alphabet, float[][] values) { - if (alphabet.length != matrix.length) + if (alphabet.length != values.length) { throw new IllegalArgumentException( "score matrix size must match alphabet size"); } - for (float[] row : matrix) + for (float[] row : values) { if (row.length != alphabet.length) { @@ -102,12 +144,15 @@ public class ScoreMatrix implements SimilarityScoreModelI, } } - this.matrix = matrix; - this.name = name; + this.matrix = values; + this.name = theName; + this.description = theDescription; this.symbols = alphabet; symbolIndex = buildSymbolIndex(alphabet); + findMinMax(); + /* * crude heuristic for now... */ @@ -115,6 +160,31 @@ public class ScoreMatrix implements SimilarityScoreModelI, } /** + * Record the minimum and maximum score values + */ + protected void findMinMax() + { + float min = Float.MAX_VALUE; + float max = -Float.MAX_VALUE; + if (matrix != null) + { + for (float[] row : matrix) + { + if (row != null) + { + for (float f : row) + { + min = Math.min(min, f); + max = Math.max(max, f); + } + } + } + } + minValue = min; + maxValue = max; + } + + /** * Returns an array A where A[i] is the position in the alphabet array of the * character whose value is i. For example if the alphabet is { 'A', 'D', 'X' * } then A['D'] = A[68] = 1. @@ -124,11 +194,14 @@ public class ScoreMatrix implements SimilarityScoreModelI, * Mappings are added automatically for lower case symbols (for non case * sensitive scoring), unless they are explicitly present in the alphabet (are * scored separately in the score matrix). + *

+ * the gap character (space, dash or dot) included in the alphabet (if any) is + * recorded in a field * * @param alphabet * @return */ - static short[] buildSymbolIndex(char[] alphabet) + short[] buildSymbolIndex(char[] alphabet) { short[] index = new short[MAX_ASCII + 1]; Arrays.fill(index, UNMAPPED); @@ -163,6 +236,12 @@ public class ScoreMatrix implements SimilarityScoreModelI, } @Override + public String getDescription() + { + return description; + } + + @Override public boolean isDNA() { return !peptide; @@ -215,8 +294,9 @@ public class ScoreMatrix implements SimilarityScoreModelI, } /** - * Returns the pairwise score for substituting c with d, or zero if c or d is - * an unscored or unexpected character + * Returns the pairwise score for substituting c with d. If either c or d is + * an unexpected character, returns 1 for identity (c == d), else the minimum + * score value in the matrix. */ @Override public float getPairwiseScore(char c, char d) @@ -238,7 +318,14 @@ public class ScoreMatrix implements SimilarityScoreModelI, { return matrix[cIndex][dIndex]; } - return 0; + + /* + * one or both symbols not found in the matrix + * currently scoring as 1 (for identity) or the minimum + * matrix score value (otherwise) + * (a case could be made for using minimum row/column value instead) + */ + return c == d ? UNKNOWN_IDENTITY_SCORE : getMinimumScore(); } /** @@ -275,7 +362,6 @@ public class ScoreMatrix implements SimilarityScoreModelI, else { sb.append("ScoreMatrix ").append(getName()).append("\n"); - sb.append(symbols).append("\n"); } for (char sym : symbols) { @@ -345,12 +431,14 @@ 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, SimilarityParamsI options) { - char gapChar = scoreGapAsAny ? (seqstrings.isNa() ? 'N' : 'X') : ' '; + char gapChar = scoreGapAsAny ? (seqstrings.isNa() ? 'N' : 'X') + : GAP_CHARACTER; String[] seqs = seqstrings.getSequenceStrings(gapChar); return findSimilarities(seqs, options); } @@ -408,9 +496,9 @@ public class ScoreMatrix implements SimilarityScoreModelI, break; } } - // Change GAP_SPACE to GAP_DASH if we adopt - for gap in matrices - char c1 = i >= len1 ? Comparison.GAP_SPACE : seq1.charAt(i); - char c2 = i >= len2 ? Comparison.GAP_SPACE : seq2.charAt(i); + + char c1 = i >= len1 ? GAP_CHARACTER : seq1.charAt(i); + char c2 = i >= len2 ? GAP_CHARACTER : seq2.charAt(i); boolean gap1 = Comparison.isGap(c1); boolean gap2 = Comparison.isGap(c2); @@ -429,7 +517,7 @@ public class ScoreMatrix implements SimilarityScoreModelI, /* * gap-residue: score if options say so */ - if (!params.includesGaps()) + if (!params.includeGaps()) { continue; } @@ -480,8 +568,18 @@ public class ScoreMatrix implements SimilarityScoreModelI, * * @return */ - public String getSymbols() + String getSymbols() { return new String(symbols); } + + public float getMinimumScore() + { + return minValue; + } + + public float getMaximumScore() + { + return maxValue; + } }