Examples with Feature net.sf.mzmine.datamodel.Feature used on opensource projects

Example 96 with Feature

use of net.sf.mzmine.datamodel.Feature in project mzmine2 by mzmine.

the class MetaboAnalystExportTask method exportPeakList.

private void exportPeakList(PeakList peakList, FileWriter writer) throws IOException {
    final RawDataFile[] rawDataFiles = peakList.getRawDataFiles();
    // Buffer for writing
    StringBuffer line = new StringBuffer();
    // Write sample (raw data file) names
    line.append("\"Sample\"");
    for (RawDataFile file : rawDataFiles) {
        // Cancel?
        if (isCanceled()) {
            return;
        }
        line.append(fieldSeparator);
        final String value = file.getName().replace('"', '\'');
        line.append("\"");
        line.append(value);
        line.append("\"");
    }
    line.append("\n");
    // Write grouping parameter values
    line.append("\"");
    line.append(groupParameter.getName().replace('"', '\''));
    line.append("\"");
    for (RawDataFile file : rawDataFiles) {
        // Cancel?
        if (isCanceled()) {
            return;
        }
        line.append(fieldSeparator);
        String value = String.valueOf(project.getParameterValue(groupParameter, file));
        value = value.replace('"', '\'');
        line.append("\"");
        line.append(value);
        line.append("\"");
    }
    line.append("\n");
    writer.write(line.toString());
    // Write data rows
    for (PeakListRow peakListRow : peakList.getRows()) {
        // Cancel?
        if (isCanceled()) {
            return;
        }
        // Reset the buffer
        line.setLength(0);
        final String rowName = generateUniquePeakListRowName(peakListRow);
        line.append("\"" + rowName + "\"");
        for (RawDataFile dataFile : rawDataFiles) {
            line.append(fieldSeparator);
            Feature peak = peakListRow.getPeak(dataFile);
            if (peak != null) {
                final double area = peak.getArea();
                line.append(String.valueOf(area));
            }
        }
        line.append("\n");
        writer.write(line.toString());
        processedRows++;
    }
}

Example 97 with Feature

use of net.sf.mzmine.datamodel.Feature in project mzmine2 by mzmine.

the class MzTabExportTask method run.

public void run() {
    setStatus(TaskStatus.PROCESSING);
    // Shall export several files?
    boolean substitute = fileName.getPath().contains(plNamePattern);
    // Total number of rows
    for (PeakList peakList : peakLists) {
        totalRows += peakList.getNumberOfRows();
    }
    // Process feature lists
    for (PeakList peakList : peakLists) {
        File curFile = fileName;
        try {
            // Filename
            if (substitute) {
                // Cleanup from illegal filename characters
                String cleanPlName = peakList.getName().replaceAll("[^a-zA-Z0-9.-]", "_");
                // Substitute
                String newFilename = fileName.getPath().replaceAll(Pattern.quote(plNamePattern), cleanPlName);
                curFile = new File(newFilename);
            }
            // Open file
            FileWriter writer;
            try {
                writer = new FileWriter(curFile);
            } catch (Exception e) {
                setStatus(TaskStatus.ERROR);
                setErrorMessage("Could not open file " + curFile + " for writing.");
                return;
            }
            // Metadata
            Metadata mtd = new Metadata();
            mtd.setMZTabMode(MZTabDescription.Mode.Summary);
            mtd.setMZTabType(MZTabDescription.Type.Quantification);
            mtd.setDescription(peakList.getName());
            mtd.addSoftwareParam(1, new CVParam("MS", "MS:1002342", "MZmine", MZmineCore.getMZmineVersion()));
            mtd.setSmallMoleculeQuantificationUnit(new CVParam("PRIDE", "PRIDE:0000330", "Arbitrary quantification unit", null));
            mtd.addSmallMoleculeSearchEngineScoreParam(1, new CVParam("MS", "MS:1001153", "search engine specific score", null));
            mtd.addFixedModParam(1, new CVParam("MS", "MS:1002453", "No fixed modifications searched", null));
            mtd.addVariableModParam(1, new CVParam("MS", "MS:1002454", "No variable modifications searched", null));
            // Create stable columns
            MZTabColumnFactory factory = MZTabColumnFactory.getInstance(Section.Small_Molecule);
            factory.addDefaultStableColumns();
            // Add optional columns which have stable order
            factory.addURIOptionalColumn();
            factory.addBestSearchEngineScoreOptionalColumn(SmallMoleculeColumn.BEST_SEARCH_ENGINE_SCORE, 1);
            final RawDataFile[] rawDataFiles = peakList.getRawDataFiles();
            int fileCounter = 0;
            for (RawDataFile file : rawDataFiles) {
                fileCounter++;
                /**
                 * TO DO: Add path to original imported raw file to MZmine and write it out here instead
                 */
                // MS run location
                MsRun msRun = new MsRun(fileCounter);
                msRun.setLocation(new URL("file:///" + file.getName()));
                mtd.addMsRun(msRun);
                mtd.addAssayMsRun(fileCounter, msRun);
                // Add samples to study variable assay
                for (UserParameter<?, ?> p : project.getParameters()) {
                    Assay assay = mtd.getAssayMap().get(fileCounter);
                    for (StudyVariable studyVariable : mtd.getStudyVariableMap().values()) {
                        if (studyVariable.getDescription().equals(String.valueOf(p) + ": " + String.valueOf(project.getParameterValue(p, file)))) {
                            mtd.addStudyVariableAssay(studyVariable.getId(), assay);
                        }
                    }
                }
                // Additional columns
                factory.addAbundanceOptionalColumn(new Assay(fileCounter));
                factory.addOptionalColumn(new Assay(fileCounter), "peak_mz", String.class);
                factory.addOptionalColumn(new Assay(fileCounter), "peak_rt", String.class);
                factory.addOptionalColumn(new Assay(fileCounter), "peak_height", String.class);
            }
            // Variable descriptions
            int parameterCounter = 0;
            for (UserParameter<?, ?> p : project.getParameters()) {
                for (Object e : ((ComboParameter<?>) p).getChoices()) {
                    parameterCounter++;
                    mtd.addStudyVariableDescription(parameterCounter, String.valueOf(p) + ": " + String.valueOf(e));
                    StudyVariable studyVariable = new StudyVariable(parameterCounter);
                    factory.addAbundanceOptionalColumn(studyVariable);
                }
            }
            // Write to file
            BufferedWriter out = new BufferedWriter(writer);
            out.write(mtd.toString());
            out.write(newLine);
            out.write(factory.toString());
            out.write(newLine);
            // Write data rows
            for (PeakListRow peakListRow : peakList.getRows()) {
                // Cancel?
                if (isCanceled()) {
                    return;
                }
                PeakIdentity peakIdentity = peakListRow.getPreferredPeakIdentity();
                if (exportall || peakIdentity != null) {
                    SmallMolecule sm = new SmallMolecule(factory, mtd);
                    if (peakIdentity != null) {
                        // Identity information
                        String identifier = escapeString(peakIdentity.getPropertyValue("ID"));
                        String database = peakIdentity.getPropertyValue("Identification method");
                        String formula = peakIdentity.getPropertyValue("Molecular formula");
                        String description = escapeString(peakIdentity.getPropertyValue("Name"));
                        String url = peakIdentity.getPropertyValue("URL");
                        if (identifier != null) {
                            sm.setIdentifier(identifier);
                        }
                        if (database != null) {
                            sm.setDatabase(database);
                        }
                        if (formula != null) {
                            sm.setChemicalFormula(formula);
                        }
                        if (description != null) {
                            sm.setDescription(description);
                        }
                        if (url != null) {
                            sm.setURI(url);
                        }
                    }
                    Double rowMZ = peakListRow.getAverageMZ();
                    int rowCharge = peakListRow.getRowCharge();
                    String rowRT = String.valueOf(peakListRow.getAverageRT());
                    if (rowMZ != null) {
                        sm.setExpMassToCharge(rowMZ);
                    }
                    if (rowCharge > 0) {
                        sm.setCharge(rowCharge);
                    }
                    if (rowRT != null) {
                        sm.setRetentionTime(rowRT);
                    }
                    int dataFileCount = 0;
                    for (RawDataFile dataFile : rawDataFiles) {
                        dataFileCount++;
                        Feature peak = peakListRow.getPeak(dataFile);
                        if (peak != null) {
                            String peakMZ = String.valueOf(peak.getMZ());
                            String peakRT = String.valueOf(String.valueOf(peak.getRT()));
                            String peakHeight = String.valueOf(peak.getHeight());
                            Double peakArea = peak.getArea();
                            sm.setOptionColumnValue(new Assay(dataFileCount), "peak_mz", peakMZ);
                            sm.setOptionColumnValue(new Assay(dataFileCount), "peak_rt", peakRT);
                            sm.setOptionColumnValue(new Assay(dataFileCount), "peak_height", peakHeight);
                            sm.setAbundanceColumnValue(new Assay(dataFileCount), peakArea);
                        }
                    }
                    out.write(sm.toString());
                    out.write(newLine);
                }
            }
            out.flush();
            out.close();
            writer.close();
        } catch (Exception e) {
            e.printStackTrace();
            setStatus(TaskStatus.ERROR);
            setErrorMessage("Could not export feature list to file " + curFile + ": " + e.getMessage());
            return;
        }
    }
    if (getStatus() == TaskStatus.PROCESSING)
        setStatus(TaskStatus.FINISHED);
}

Example 98 with Feature

use of net.sf.mzmine.datamodel.Feature in project mzmine2 by mzmine.

the class SmoothingTask method run.

@Override
public void run() {
    setStatus(TaskStatus.PROCESSING);
    try {
        // Get filter weights.
        final double[] filterWeights = SavitzkyGolayFilter.getNormalizedWeights(filterWidth);
        // Create new feature list
        newPeakList = new SimplePeakList(origPeakList + " " + suffix, origPeakList.getRawDataFiles());
        // Process each row.
        for (final PeakListRow row : origPeakList.getRows()) {
            if (!isCanceled()) {
                // Create a new peak-list row.
                final int originalID = row.getID();
                final PeakListRow newRow = new SimplePeakListRow(originalID);
                // Process each peak.
                for (final Feature peak : row.getPeaks()) {
                    if (!isCanceled()) {
                        // Copy original peak intensities.
                        final int[] scanNumbers = peak.getScanNumbers();
                        final int numScans = scanNumbers.length;
                        final double[] intensities = new double[numScans];
                        for (int i = 0; i < numScans; i++) {
                            final DataPoint dataPoint = peak.getDataPoint(scanNumbers[i]);
                            intensities[i] = dataPoint == null ? 0.0 : dataPoint.getIntensity();
                        }
                        // Smooth peak.
                        final double[] smoothed = convolve(intensities, filterWeights);
                        // Measure peak (max, ranges, area etc.)
                        final RawDataFile dataFile = peak.getDataFile();
                        final DataPoint[] newDataPoints = new DataPoint[numScans];
                        double maxIntensity = 0.0;
                        int maxScanNumber = -1;
                        DataPoint maxDataPoint = null;
                        Range<Double> intensityRange = null;
                        double area = 0.0;
                        for (int i = 0; i < numScans; i++) {
                            final int scanNumber = scanNumbers[i];
                            final DataPoint dataPoint = peak.getDataPoint(scanNumber);
                            final double intensity = smoothed[i];
                            if (dataPoint != null && intensity > 0.0) {
                                // Create a new data point.
                                final double mz = dataPoint.getMZ();
                                final double rt = dataFile.getScan(scanNumber).getRetentionTime();
                                final DataPoint newDataPoint = new SimpleDataPoint(mz, intensity);
                                newDataPoints[i] = newDataPoint;
                                // Track maximum intensity data point.
                                if (intensity > maxIntensity) {
                                    maxIntensity = intensity;
                                    maxScanNumber = scanNumber;
                                    maxDataPoint = newDataPoint;
                                }
                                // Update ranges.
                                if (intensityRange == null) {
                                    intensityRange = Range.singleton(intensity);
                                } else {
                                    intensityRange = intensityRange.span(Range.singleton(intensity));
                                }
                                // Accumulate peak area.
                                if (i != 0) {
                                    final DataPoint lastDP = newDataPoints[i - 1];
                                    final double lastIntensity = lastDP == null ? 0.0 : lastDP.getIntensity();
                                    final double lastRT = dataFile.getScan(scanNumbers[i - 1]).getRetentionTime();
                                    area += (rt - lastRT) * 60d * (intensity + lastIntensity) / 2.0;
                                }
                            }
                        }
                        assert maxDataPoint != null;
                        if (!isCanceled() && maxScanNumber >= 0) {
                            // Create a new peak.
                            newRow.addPeak(dataFile, new SimpleFeature(dataFile, maxDataPoint.getMZ(), peak.getRT(), maxIntensity, area, scanNumbers, newDataPoints, peak.getFeatureStatus(), maxScanNumber, peak.getMostIntenseFragmentScanNumber(), peak.getAllMS2FragmentScanNumbers(), peak.getRawDataPointsRTRange(), peak.getRawDataPointsMZRange(), intensityRange));
                        }
                    }
                }
                newPeakList.addRow(newRow);
                progress++;
            }
        }
        // Finish up.
        if (!isCanceled()) {
            // Add new peak-list to the project.
            project.addPeakList(newPeakList);
            // Add quality parameters to peaks
            QualityParameters.calculateQualityParameters(newPeakList);
            // Remove the original peak-list if requested.
            if (removeOriginal) {
                project.removePeakList(origPeakList);
            }
            // Copy previously applied methods
            for (final PeakListAppliedMethod method : origPeakList.getAppliedMethods()) {
                newPeakList.addDescriptionOfAppliedTask(method);
            }
            // Add task description to peak-list.
            newPeakList.addDescriptionOfAppliedTask(new SimplePeakListAppliedMethod("Peaks smoothed by Savitzky-Golay filter", parameters));
            LOG.finest("Finished peak smoothing: " + progress + " rows processed");
            setStatus(TaskStatus.FINISHED);
        }
    } catch (Throwable t) {
        LOG.log(Level.SEVERE, "Smoothing error", t);
        setErrorMessage(t.getMessage());
        setStatus(TaskStatus.ERROR);
    }
}

Example 99 with Feature

use of net.sf.mzmine.datamodel.Feature in project mzmine2 by mzmine.

the class PeakPreviewComboRenderer method getListCellRendererComponent.

public Component getListCellRendererComponent(JList<? extends PeakListRow> combo, PeakListRow value, int index, boolean isSelected, boolean cellHasFocus) {
    PeakListRow row = (PeakListRow) value;
    if (row == null)
        return new JPanel();
    Feature peak = row.getPeaks()[0];
    String labelText = "#" + row.getID() + " " + MZmineCore.getConfiguration().getMZFormat().format(row.getAverageMZ()) + " m/z ";
    JLabel textComponent = new JLabel(labelText);
    textComponent.setFont(combo.getFont());
    PeakXICComponent shapeComponent = new PeakXICComponent(peak);
    shapeComponent.setBorder(null);
    JPanel panel = new JPanel(new BorderLayout());
    panel.setOpaque(true);
    if (isSelected) {
        panel.setBackground(combo.getSelectionBackground());
        panel.setForeground(combo.getSelectionForeground());
    } else {
        panel.setBackground(combo.getBackground());
        panel.setForeground(combo.getForeground());
    }
    panel.setEnabled(combo.isEnabled());
    Border border = null;
    if (cellHasFocus) {
        if (isSelected) {
            border = UIManager.getBorder("List.focusSelectedCellHighlightBorder");
        }
        if (border == null) {
            border = UIManager.getBorder("List.focusCellHighlightBorder");
        }
    } else {
        border = noFocusBorder;
    }
    panel.setBorder(border);
    panel.add(textComponent, BorderLayout.WEST);
    panel.add(shapeComponent, BorderLayout.CENTER);
    return panel;
}

Example 100 with Feature

use of net.sf.mzmine.datamodel.Feature in project mzmine2 by mzmine.

the class PeakResolverSetupDialog method parametersChanged.

@Override
public void parametersChanged() {
    if (preview != null && preview.isSelected()) {
        final PeakListRow previewRow = (PeakListRow) comboPeak.getSelectedItem();
        if (previewRow != null) {
            LOG.finest("Loading new preview peak " + previewRow);
            ticPlot.removeAllTICDataSets();
            ticPlot.addTICDataset(new ChromatogramTICDataSet(previewRow.getPeaks()[0]));
            // Auto-range to axes.
            ticPlot.getXYPlot().getDomainAxis().setAutoRange(true);
            ticPlot.getXYPlot().getDomainAxis().setAutoTickUnitSelection(true);
            ticPlot.getXYPlot().getRangeAxis().setAutoRange(true);
            ticPlot.getXYPlot().getRangeAxis().setAutoTickUnitSelection(true);
            updateParameterSetFromComponents();
            // If there is some illegal value, do not load the preview but
            // just exit.
            ArrayList<String> errors = new ArrayList<String>();
            if (!parameterSet.checkParameterValues(errors)) {
                LOG.fine("Illegal parameter value: " + errors);
                return;
            }
            // Load the intensities and RTs into array.
            final Feature previewPeak = previewRow.getPeaks()[0];
            // Resolve peaks.
            Feature[] resolvedPeaks = {};
            RSessionWrapper rSession;
            try {
                if (peakResolver.getRequiresR()) {
                    // Check R availability, by trying to open the
                    // connection.
                    String[] reqPackages = peakResolver.getRequiredRPackages();
                    String[] reqPackagesVersions = peakResolver.getRequiredRPackagesVersions();
                    String callerFeatureName = peakResolver.getName();
                    REngineType rEngineType = peakResolver.getREngineType(parameters);
                    rSession = new RSessionWrapper(rEngineType, callerFeatureName, reqPackages, reqPackagesVersions);
                    rSession.open();
                } else {
                    rSession = null;
                }
                CenterFunction mzCenterFunction = new CenterFunction(CenterMeasure.MEDIAN);
                // preview doesn't show msms scans
                // set it to be default searching range
                resolvedPeaks = peakResolver.resolvePeaks(previewPeak, parameters, rSession, mzCenterFunction, 0, 0);
                // Turn off R instance.
                if (rSession != null)
                    rSession.close(false);
            } catch (RSessionWrapperException e) {
                throw new IllegalStateException(e.getMessage());
            } catch (Throwable t) {
                LOG.log(Level.SEVERE, "Peak deconvolution error", t);
                MZmineCore.getDesktop().displayErrorMessage(this, t.toString());
            }
            // Add resolved peaks to TIC plot.
            final int peakCount = Math.min(MAX_PEAKS, resolvedPeaks.length);
            for (int i = 0; i < peakCount; i++) {
                final XYDataset peakDataSet = new PeakDataSet(resolvedPeaks[i]);
                ticPlot.addPeakDataset(peakDataSet);
            }
            // Check peak count.
            if (resolvedPeaks.length > MAX_PEAKS) {
                // MZmineCore.getDesktop().displayMessage(this,
                // "Too many peaks detected, please adjust parameter values");
                MZmineCore.getDesktop().displayMessage(this, "Too many peaks detected. Not all of the peaks might be displayed");
            }
        }
    }
}