예제 #1
0
 /** Remove a remote job descriptor from the data file */
 public synchronized void removeJob(String name) {
   for (RemoteJob job : jobs_info) {
     if (job.getName().equals(name)) {
       jobs_info.remove(job);
       MZmineCore.getCurrentProject().removeJob(job);
       break;
     }
   }
 }
  public static void setupNewTICVisualizer(final RawDataFile[] dataFiles) {

    setupNewTICVisualizer(
        MZmineCore.getCurrentProject().getDataFiles(),
        dataFiles,
        new ChromatographicPeak[0],
        new ChromatographicPeak[0],
        null,
        null,
        null);
  }
예제 #3
0
  /** @see Runnable#run() */
  public void run() {

    if ((mzWeight == 0) && (rtWeight == 0)) {
      setStatus(TaskStatus.ERROR);
      errorMessage = "Cannot run alignment, all the weight parameters are zero";
      return;
    }

    setStatus(TaskStatus.PROCESSING);
    logger.info("Running join aligner");

    // Remember how many rows we need to process. Each row will be processed
    // twice, first for score calculation, second for actual alignment.
    for (int i = 0; i < peakLists.length; i++) {
      totalRows += peakLists[i].getNumberOfRows() * 2;
    }

    // Collect all data files
    Vector<RawDataFile> allDataFiles = new Vector<RawDataFile>();
    for (PeakList peakList : peakLists) {

      for (RawDataFile dataFile : peakList.getRawDataFiles()) {

        // Each data file can only have one column in aligned peak list
        if (allDataFiles.contains(dataFile)) {
          setStatus(TaskStatus.ERROR);
          errorMessage =
              "Cannot run alignment, because file "
                  + dataFile
                  + " is present in multiple peak lists";
          return;
        }

        allDataFiles.add(dataFile);
      }
    }

    // Create a new aligned peak list
    alignedPeakList = new SimplePeakList(peakListName, allDataFiles.toArray(new RawDataFile[0]));

    // Iterate source peak lists
    for (PeakList peakList : peakLists) {

      // Create a sorted set of scores matching
      TreeSet<RowVsRowScore> scoreSet = new TreeSet<RowVsRowScore>();

      PeakListRow allRows[] = peakList.getRows();

      // Calculate scores for all possible alignments of this row
      for (PeakListRow row : allRows) {

        if (isCanceled()) return;

        // Calculate limits for a row with which the row can be aligned
        Range mzRange = mzTolerance.getToleranceRange(row.getAverageMZ());
        Range rtRange = rtTolerance.getToleranceRange(row.getAverageRT());

        // Get all rows of the aligned peaklist within parameter limits
        PeakListRow candidateRows[] = alignedPeakList.getRowsInsideScanAndMZRange(rtRange, mzRange);

        // Calculate scores and store them
        for (PeakListRow candidate : candidateRows) {

          if (sameChargeRequired) {
            if (!PeakUtils.compareChargeState(row, candidate)) continue;
          }

          if (sameIDRequired) {
            if (!PeakUtils.compareIdentities(row, candidate)) continue;
          }

          if (compareIsotopePattern) {
            IsotopePattern ip1 = row.getBestIsotopePattern();
            IsotopePattern ip2 = candidate.getBestIsotopePattern();

            if ((ip1 != null) && (ip2 != null)) {
              ParameterSet isotopeParams =
                  parameters
                      .getParameter(JoinAlignerParameters.compareIsotopePattern)
                      .getEmbeddedParameters();

              if (!IsotopePatternScoreCalculator.checkMatch(ip1, ip2, isotopeParams)) {
                continue;
              }
            }
          }

          RowVsRowScore score =
              new RowVsRowScore(
                  row, candidate, mzRange.getSize() / 2, mzWeight, rtRange.getSize() / 2, rtWeight);

          scoreSet.add(score);
        }

        processedRows++;
      }

      // Create a table of mappings for best scores
      Hashtable<PeakListRow, PeakListRow> alignmentMapping =
          new Hashtable<PeakListRow, PeakListRow>();

      // Iterate scores by descending order
      Iterator<RowVsRowScore> scoreIterator = scoreSet.iterator();
      while (scoreIterator.hasNext()) {

        RowVsRowScore score = scoreIterator.next();

        // Check if the row is already mapped
        if (alignmentMapping.containsKey(score.getPeakListRow())) continue;

        // Check if the aligned row is already filled
        if (alignmentMapping.containsValue(score.getAlignedRow())) continue;

        alignmentMapping.put(score.getPeakListRow(), score.getAlignedRow());
      }

      // Align all rows using mapping
      for (PeakListRow row : allRows) {

        PeakListRow targetRow = alignmentMapping.get(row);

        // If we have no mapping for this row, add a new one
        if (targetRow == null) {
          targetRow = new SimplePeakListRow(newRowID);
          newRowID++;
          alignedPeakList.addRow(targetRow);
        }

        // Add all peaks from the original row to the aligned row
        for (RawDataFile file : row.getRawDataFiles()) {
          targetRow.addPeak(file, row.getPeak(file));
        }

        // Add all non-existing identities from the original row to the
        // aligned row
        PeakUtils.copyPeakListRowProperties(row, targetRow);

        processedRows++;
      }
    } // Next peak list

    // Add new aligned peak list to the project
    MZmineProject currentProject = MZmineCore.getCurrentProject();
    currentProject.addPeakList(alignedPeakList);

    // Add task description to peakList
    alignedPeakList.addDescriptionOfAppliedTask(
        new SimplePeakListAppliedMethod("Join aligner", parameters));

    logger.info("Finished join aligner");
    setStatus(TaskStatus.FINISHED);
  }
예제 #4
0
 /** Add a remote job descriptor to the data file */
 public synchronized void addJob(
     String name, RawDataFile raw, String targetName, VeritomyxSaaS vtmx) {
   RemoteJob job = new RemoteJob(name, raw, targetName, vtmx);
   this.jobs_info.add(job);
   MZmineCore.getCurrentProject().addJob(job);
 }