+
+ /**
+ * Compute a globally optimal needleman and wunsch alignment between two
+ * sequences
+ *
+ * @param s1
+ * @param s2
+ * @param type
+ * AlignSeq.DNA or AlignSeq.PEP
+ */
+ public static AlignSeq doGlobalNWAlignment(SequenceI s1, SequenceI s2,
+ String type)
+ {
+ AlignSeq as = new AlignSeq(s1, s2, type);
+
+ as.calcScoreMatrix();
+ as.traceAlignment();
+ return as;
+ }
+
+ /**
+ *
+ * @return mapping from positions in S1 to corresponding positions in S2
+ */
+ public jalview.datamodel.Mapping getMappingFromS1(boolean allowmismatch)
+ {
+ ArrayList<Integer> as1 = new ArrayList<Integer>(), as2 = new ArrayList<Integer>();
+ int pdbpos = s2.getStart() + getSeq2Start() - 2;
+ int alignpos = s1.getStart() + getSeq1Start() - 2;
+ int lp2 = pdbpos - 3, lp1 = alignpos - 3;
+ boolean lastmatch = false;
+ // and now trace the alignment onto the atom set.
+ for (int i = 0; i < astr1.length(); i++)
+ {
+ char c1 = astr1.charAt(i), c2 = astr2.charAt(i);
+ if (c1 != '-')
+ {
+ alignpos++;
+ }
+
+ if (c2 != '-')
+ {
+ pdbpos++;
+ }
+
+ if (allowmismatch || c1 == c2)
+ {
+ lastmatch = true;
+ // extend mapping interval.
+ if (lp1 + 1 != alignpos || lp2+1 !=pdbpos)
+ {
+ as1.add(Integer.valueOf(alignpos));
+ as2.add(Integer.valueOf(pdbpos));
+ }
+ lp1 = alignpos;
+ lp2 = pdbpos;
+ }
+ else
+ {
+ lastmatch = false;
+ }
+ }
+ // construct range pairs
+ int[] mapseq1 = new int[as1.size() + (lastmatch ? 1 : 0)], mapseq2 = new int[as2
+ .size() + (lastmatch ? 1 : 0)];
+ int i = 0;
+ for (Integer ip : as1)
+ {
+ mapseq1[i++] = ip;
+ }
+ ;
+ i = 0;
+ for (Integer ip : as2)
+ {
+ mapseq2[i++] = ip;
+ }
+ ;
+ if (lastmatch)
+ {
+ mapseq1[mapseq1.length - 1] = alignpos;
+ mapseq2[mapseq2.length - 1] = pdbpos;
+ }
+ MapList map = new MapList(mapseq1, mapseq2, 1, 1);
+
+ jalview.datamodel.Mapping mapping = new Mapping(map);
+ mapping.setTo(s2);
+ return mapping;
+ }
+
+ /**
+ * compute the PID vector used by the redundancy filter.
+ *
+ * @param originalSequences
+ * - sequences in alignment that are to filtered
+ * @param omitHidden
+ * - null or strings to be analysed (typically, visible portion of
+ * each sequence in alignment)
+ * @param start
+ * - first column in window for calculation
+ * @param end
+ * - last column in window for calculation
+ * @param ungapped
+ * - if true then use ungapped sequence to compute PID
+ * @return vector containing maximum PID for i-th sequence and any sequences
+ * longer than that seuqence
+ */
+ public static float[] computeRedundancyMatrix(
+ SequenceI[] originalSequences, String[] omitHidden, int start,
+ int end, boolean ungapped)
+ {
+ int height = originalSequences.length;
+ float[] redundancy = new float[height];
+ int[] lngth = new int[height];
+ for (int i = 0; i < height; i++)
+ {
+ redundancy[i] = 0f;
+ lngth[i] = -1;
+ }
+
+ // long start = System.currentTimeMillis();
+
+ float pid;
+ String seqi, seqj;
+ for (int i = 0; i < height; i++)
+ {
+
+ for (int j = 0; j < i; j++)
+ {
+ if (i == j)
+ {
+ continue;
+ }
+
+ if (omitHidden == null)
+ {
+ seqi = originalSequences[i].getSequenceAsString(start, end);
+ seqj = originalSequences[j].getSequenceAsString(start, end);
+ }
+ else
+ {
+ seqi = omitHidden[i];
+ seqj = omitHidden[j];
+ }
+ if (lngth[i] == -1)
+ {
+ String ug = AlignSeq.extractGaps(Comparison.GapChars, seqi);
+ lngth[i] = ug.length();
+ if (ungapped)
+ {
+ seqi = ug;
+ }
+ }
+ if (lngth[j] == -1)
+ {
+ String ug = AlignSeq.extractGaps(Comparison.GapChars, seqj);
+ lngth[j] = ug.length();
+ if (ungapped)
+ {
+ seqj = ug;
+ }
+ }
+ pid = Comparison.PID(seqi, seqj);
+
+ // use real sequence length rather than string length
+ if (lngth[j] < lngth[i])
+ {
+ redundancy[j] = Math.max(pid, redundancy[j]);
+ }
+ else
+ {
+ redundancy[i] = Math.max(pid, redundancy[i]);
+ }
+
+ }
+ }
+ return redundancy;
+ }