use of net.sf.mzmine.datamodel.impl.SimplePeakList in project mzmine2 by mzmine.
the class PeakListOpenHandler_2_0 method initializePeakList.
/**
* Initializes the feature list
*/
private void initializePeakList() {
RawDataFile[] dataFiles = currentPeakListDataFiles.toArray(new RawDataFile[0]);
buildingPeakList = new SimplePeakList(peakListName, dataFiles);
for (int i = 0; i < appliedMethods.size(); i++) {
String methodName = appliedMethods.elementAt(i);
String methodParams = appliedMethodParameters.elementAt(i);
PeakListAppliedMethod pam = new SimplePeakListAppliedMethod(methodName, methodParams);
buildingPeakList.addDescriptionOfAppliedTask(pam);
}
buildingPeakList.setDateCreated(dateCreated);
}
use of net.sf.mzmine.datamodel.impl.SimplePeakList in project mzmine2 by mzmine.
the class PeakListOpenHandler_2_3 method initializePeakList.
/**
* Initializes the feature list
*/
private void initializePeakList() {
RawDataFile[] dataFiles = currentPeakListDataFiles.toArray(new RawDataFile[0]);
buildingPeakList = new SimplePeakList(peakListName, dataFiles);
for (int i = 0; i < appliedMethods.size(); i++) {
String methodName = appliedMethods.elementAt(i);
String methodParams = appliedMethodParameters.elementAt(i);
PeakListAppliedMethod pam = new SimplePeakListAppliedMethod(methodName, methodParams);
buildingPeakList.addDescriptionOfAppliedTask(pam);
}
buildingPeakList.setDateCreated(dateCreated);
}
use of net.sf.mzmine.datamodel.impl.SimplePeakList in project mzmine2 by mzmine.
the class ShapeModelerTask method run.
public void run() {
setStatus(TaskStatus.PROCESSING);
Class<?> shapeModelClass = shapeModelerType.getModelClass();
Constructor<?> shapeModelConstruct;
shapeModelConstruct = shapeModelClass.getConstructors()[0];
// Get data file information
RawDataFile dataFile = originalPeakList.getRawDataFile(0);
// Create new feature list
newPeakList = new SimplePeakList(originalPeakList + " " + suffix, dataFile);
totalRows = originalPeakList.getNumberOfRows();
int[] scanNumbers;
double[] retentionTimes, intensities;
SimplePeakListRow newRow;
for (PeakListRow row : originalPeakList.getRows()) {
if (isCanceled())
return;
newRow = new SimplePeakListRow(newPeakID);
try {
for (Feature peak : row.getPeaks()) {
// Load the intensities into array
dataFile = peak.getDataFile();
scanNumbers = peak.getScanNumbers();
retentionTimes = new double[scanNumbers.length];
for (int i = 0; i < scanNumbers.length; i++) retentionTimes[i] = dataFile.getScan(scanNumbers[i]).getRetentionTime();
intensities = new double[scanNumbers.length];
for (int i = 0; i < scanNumbers.length; i++) {
DataPoint dp = peak.getDataPoint(scanNumbers[i]);
if (dp != null)
intensities[i] = dp.getIntensity();
else
intensities[i] = 0;
}
Feature shapePeak = (Feature) shapeModelConstruct.newInstance(peak, scanNumbers, intensities, retentionTimes, resolution);
newRow.addPeak(shapePeak.getDataFile(), shapePeak);
}
} catch (Exception e) {
String message = "Error trying to make an instance of shape model class " + shapeModelClass;
MZmineCore.getDesktop().displayErrorMessage(MZmineCore.getDesktop().getMainWindow(), message);
logger.severe(message);
return;
}
newPeakList.addRow(newRow);
newPeakID++;
processedRows++;
}
// Add new peaklist to the project
project.addPeakList(newPeakList);
// Add quality parameters to peaks
QualityParameters.calculateQualityParameters(newPeakList);
// Remove the original peaklist if requested
if (removeOriginal)
project.removePeakList(originalPeakList);
// Load previous applied methods
for (PeakListAppliedMethod proc : originalPeakList.getAppliedMethods()) {
newPeakList.addDescriptionOfAppliedTask(proc);
}
// Add task description to peakList
newPeakList.addDescriptionOfAppliedTask(new SimplePeakListAppliedMethod("Peaks shaped by " + shapeModelerType + " function", parameters));
logger.finest("Finished peak shape modeler " + processedRows + " rows processed");
setStatus(TaskStatus.FINISHED);
}
use of net.sf.mzmine.datamodel.impl.SimplePeakList in project mzmine2 by mzmine.
the class PeakExtenderTask method run.
/**
* @see Runnable#run()
*/
public void run() {
setStatus(TaskStatus.PROCESSING);
logger.info("Running peak extender on " + peakList);
// We assume source peakList contains one datafile
RawDataFile dataFile = peakList.getRawDataFile(0);
// Create a new deisotoped peakList
extendedPeakList = new SimplePeakList(peakList + " " + suffix, peakList.getRawDataFiles());
// Sort peaks by descending height
Feature[] sortedPeaks = peakList.getPeaks(dataFile);
Arrays.sort(sortedPeaks, new PeakSorter(SortingProperty.Height, SortingDirection.Descending));
// Loop through all peaks
totalPeaks = sortedPeaks.length;
Feature oldPeak;
for (int ind = 0; ind < totalPeaks; ind++) {
if (isCanceled())
return;
oldPeak = sortedPeaks[ind];
if (oldPeak.getHeight() >= minimumHeight) {
Feature newPeak = this.getExtendedPeak(oldPeak);
// Get previous pekaListRow
PeakListRow oldRow = peakList.getPeakRow(oldPeak);
// keep old ID
int oldID = oldRow.getID();
SimplePeakListRow newRow = new SimplePeakListRow(oldID);
PeakUtils.copyPeakListRowProperties(oldRow, newRow);
newRow.addPeak(dataFile, newPeak);
extendedPeakList.addRow(newRow);
}
// Update completion rate
processedPeaks++;
}
// Add new peakList to the project
project.addPeakList(extendedPeakList);
// Add quality parameters to peaks
QualityParameters.calculateQualityParameters(extendedPeakList);
// Load previous applied methods
for (PeakListAppliedMethod proc : peakList.getAppliedMethods()) {
extendedPeakList.addDescriptionOfAppliedTask(proc);
}
// Add task description to peakList
extendedPeakList.addDescriptionOfAppliedTask(new SimplePeakListAppliedMethod("Peak extender", parameters));
// Remove the original peakList if requested
if (removeOriginal)
project.removePeakList(peakList);
logger.info("Finished peak extender on " + peakList);
setStatus(TaskStatus.FINISHED);
}
use of net.sf.mzmine.datamodel.impl.SimplePeakList in project mzmine2 by mzmine.
the class SameRangeTask method run.
public void run() {
logger.info("Started gap-filling " + peakList);
setStatus(TaskStatus.PROCESSING);
// Get total number of rows
totalRows = peakList.getNumberOfRows();
// Get feature list columns
RawDataFile[] columns = peakList.getRawDataFiles();
// Create new feature list
processedPeakList = new SimplePeakList(peakList + " " + suffix, columns);
/**
***********************************************************
* Creating a stream to process the data in parallel
*/
processedRowsAtomic = new AtomicInteger(0);
List<PeakListRow> outputList = Collections.synchronizedList(new ArrayList<>());
peakList.parallelStream().forEach(sourceRow -> {
// Canceled?
if (isCanceled())
return;
PeakListRow newRow = new SimplePeakListRow(sourceRow.getID());
// Copy comment
newRow.setComment(sourceRow.getComment());
// Copy identities
for (PeakIdentity ident : sourceRow.getPeakIdentities()) newRow.addPeakIdentity(ident, false);
if (sourceRow.getPreferredPeakIdentity() != null)
newRow.setPreferredPeakIdentity(sourceRow.getPreferredPeakIdentity());
// Copy each peaks and fill gaps
for (RawDataFile column : columns) {
// Canceled?
if (isCanceled())
return;
// Get current peak
Feature currentPeak = sourceRow.getPeak(column);
// If there is a gap, try to fill it
if (currentPeak == null)
currentPeak = fillGap(sourceRow, column);
// If a peak was found or created, add it
if (currentPeak != null)
newRow.addPeak(column, currentPeak);
}
outputList.add(newRow);
processedRowsAtomic.getAndAdd(1);
});
outputList.stream().forEach(newRow -> {
processedPeakList.addRow((PeakListRow) newRow);
});
// Canceled?
if (isCanceled())
return;
// Append processed feature list to the project
project.addPeakList(processedPeakList);
// Add quality parameters to peaks
QualityParameters.calculateQualityParameters(processedPeakList);
// Add task description to peakList
processedPeakList.addDescriptionOfAppliedTask(new SimplePeakListAppliedMethod("Gap filling using RT and m/z range", parameters));
// Remove the original peaklist if requested
if (removeOriginal)
project.removePeakList(peakList);
setStatus(TaskStatus.FINISHED);
logger.info("Finished gap-filling " + peakList);
}
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