X-Git-Url: http://source.jalview.org/gitweb/?a=blobdiff_plain;f=src%2Fjalview%2Fanalysis%2Fscoremodels%2FScoreMatrix.java;h=b206339805cf4d1f026c15eb34f3987a21a543b9;hb=890092d4ca9b8c17a3f356eeb12f49440d5fc51c;hp=22c81f19f908e634fc06b436edb50c56b16b527c;hpb=f46c404585087d8937c48504bfcff716440d5186;p=jalview.git diff --git a/src/jalview/analysis/scoremodels/ScoreMatrix.java b/src/jalview/analysis/scoremodels/ScoreMatrix.java index 22c81f1..b206339 100644 --- a/src/jalview/analysis/scoremodels/ScoreMatrix.java +++ b/src/jalview/analysis/scoremodels/ScoreMatrix.java @@ -20,13 +20,42 @@ */ 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.datamodel.AlignmentView; import jalview.math.Matrix; import jalview.math.MatrixI; +import jalview.util.Comparison; import java.util.Arrays; -public class ScoreMatrix implements PairwiseScoreModelI +/** + * A class that models a substitution score matrix for any given alphabet of + * symbols. Instances of this class are immutable and thread-safe, so the same + * object is returned from calls to getInstance(). + */ +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 + * score matrix (JAL-2397) + * Set this flag to true (via Groovy) for 2.10.1 behaviour + */ + private static boolean scoreGapAsAny = false; + public static final short UNMAPPED = (short) -1; private static final String BAD_ASCII_ERROR = "Unexpected character %s in getPairwiseScore"; @@ -35,10 +64,16 @@ public class ScoreMatrix implements PairwiseScoreModelI /* * 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; @@ -60,26 +95,52 @@ public class ScoreMatrix implements PairwiseScoreModelI */ private boolean peptide; + private float minValue; + + 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 * 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 matrix + * @param values * Pairwise scores indexed according to the symbol alphabet */ - public ScoreMatrix(String name, char[] alphabet, float[][] matrix) + public ScoreMatrix(String theName, char[] alphabet, float[][] values) { - if (alphabet.length != matrix.length) + 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( "score matrix size must match alphabet size"); } - for (float[] row : matrix) + for (float[] row : values) { if (row.length != alphabet.length) { @@ -88,12 +149,17 @@ public class ScoreMatrix implements PairwiseScoreModelI } } - this.matrix = matrix; - this.name = name; + this.matrix = values; + this.name = theName; + this.description = theDescription; this.symbols = alphabet; symbolIndex = buildSymbolIndex(alphabet); + findMinMax(); + + symmetric = checkSymmetry(); + /* * crude heuristic for now... */ @@ -101,6 +167,52 @@ public class ScoreMatrix implements PairwiseScoreModelI } /** + * 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() + { + 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. @@ -110,11 +222,14 @@ public class ScoreMatrix implements PairwiseScoreModelI * 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); @@ -149,6 +264,12 @@ public class ScoreMatrix implements PairwiseScoreModelI } @Override + public String getDescription() + { + return description; + } + + @Override public boolean isDNA() { return !peptide; @@ -161,16 +282,22 @@ public class ScoreMatrix implements PairwiseScoreModelI } /** - * Returns the score matrix as used in getPairwiseScore. If using this matrix - * directly, callers must also call getMatrixIndex in - * order to get the matrix index for each character (symbol). + * Returns a copy of the score matrix as used in getPairwiseScore. If using + * this matrix directly, callers must also call + * getMatrixIndex in order to get the matrix index for each + * character (symbol). * * @return * @see #getMatrixIndex(char) */ public float[][] getMatrix() { - return matrix; + float[][] v = new float[matrix.length][matrix.length]; + for (int i = 0; i < matrix.length; i++) + { + v[i] = Arrays.copyOf(matrix[i], matrix[i].length); + } + return v; } /** @@ -195,8 +322,9 @@ public class ScoreMatrix implements PairwiseScoreModelI } /** - * 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) @@ -218,7 +346,14 @@ public class ScoreMatrix implements PairwiseScoreModelI { 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(); } /** @@ -231,7 +366,12 @@ public class ScoreMatrix implements PairwiseScoreModelI } /** - * Print the score matrix, optionally formatted as html, with the alphabet symbols as column headings and at the start of each row + * Print the score matrix, optionally formatted as html, with the alphabet + * symbols as column headings and at the start of each row. + *

+ * The non-html format should give an output which can be parsed as a score + * matrix file + * * @param html * @return */ @@ -247,6 +387,10 @@ public class ScoreMatrix implements PairwiseScoreModelI sb.append(""); sb.append(html ? "" : ""); } + else + { + sb.append("ScoreMatrix ").append(getName()).append("\n"); + } for (char sym : symbols) { if (html) @@ -315,27 +459,170 @@ public class ScoreMatrix implements PairwiseScoreModelI *
  • product[0, 1] = F.R + K.- + L.D = -3 + -1 + -3 = -8 *
  • and so on
  • * + * This method is thread-safe. */ - public MatrixI computePairwiseScores(String[] seqs) + @Override + public MatrixI findSimilarities(AlignmentView seqstrings, + SimilarityParamsI options) { - double[][] values = new double[seqs.length][]; + char gapChar = scoreGapAsAny ? (seqstrings.isNa() ? 'N' : 'X') + : GAP_CHARACTER; + String[] seqs = seqstrings.getSequenceStrings(gapChar); + return findSimilarities(seqs, options); + } + + /** + * Computes pairwise similarities of a set of sequences using the given + * parameters + * + * @param seqs + * @param params + * @return + */ + protected MatrixI findSimilarities(String[] seqs, + SimilarityParamsI params) + { + 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++) { - int total = 0; - int width = Math.min(seqs[row].length(), seqs[col].length()); - for (int i = 0; i < width; i++) + double total = computeSimilarity(seqs[row], seqs[col], params); + values[row][col] = total; + if (symmetric) { - char c1 = seqs[row].charAt(i); - char c2 = seqs[col].charAt(i); - float score = getPairwiseScore(c1, c2); - total += score; + values[col][row] = total; } - values[row][col] = total; } } return new Matrix(values); } + + /** + * Calculates the pairwise similarity of two strings using the given + * calculation parameters + * + * @param seq1 + * @param seq2 + * @param params + * @return + */ + protected double computeSimilarity(String seq1, String seq2, + SimilarityParamsI params) + { + int len1 = seq1.length(); + int len2 = seq2.length(); + double total = 0; + + int width = Math.max(len1, len2); + for (int i = 0; i < width; i++) + { + if (i >= len1 || i >= len2) + { + /* + * off the end of one sequence; stop if we are only matching + * on the shorter sequence length, else treat as trailing gap + */ + if (params.denominateByShortestLength()) + { + break; + } + } + + 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); + + if (gap1 && gap2) + { + /* + * gap-gap: include if options say so, else ignore + */ + if (!params.includeGappedColumns()) + { + continue; + } + } + else if (gap1 || gap2) + { + /* + * gap-residue: score if options say so + */ + if (!params.includeGaps()) + { + continue; + } + } + float score = getPairwiseScore(c1, c2); + total += score; + } + return total; + } + + /** + * Answers a hashcode computed from the symbol alphabet and the matrix score + * values + */ + @Override + public int hashCode() + { + int hs = Arrays.hashCode(symbols); + for (float[] row : matrix) + { + hs = hs * 31 + Arrays.hashCode(row); + } + return hs; + } + + /** + * Answers true if the argument is a ScoreMatrix with the same symbol alphabet + * and score values, else false + */ + @Override + public boolean equals(Object obj) + { + if (!(obj instanceof ScoreMatrix)) + { + return false; + } + ScoreMatrix sm = (ScoreMatrix) obj; + if (Arrays.equals(symbols, sm.symbols) + && Arrays.deepEquals(matrix, sm.matrix)) + { + return true; + } + return false; + } + + /** + * Returns the alphabet the matrix scores for, as a string of characters + * + * @return + */ + String getSymbols() + { + return new String(symbols); + } + + public float getMinimumScore() + { + return minValue; + } + + public float getMaximumScore() + { + return maxValue; + } + + @Override + public ScoreModelI getInstance(AlignmentViewPanel avp) + { + return this; + } + + public boolean isSymmetric() + { + return symmetric; + } }