gatk-3.8/java/src/org/broadinstitute/sting/analyzecovariates/AnalysisDataManager.java

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package org.broadinstitute.sting.analyzecovariates;
import org.broadinstitute.sting.gatk.walkers.recalibration.RecalDatum;
import org.broadinstitute.sting.gatk.walkers.recalibration.NHashMap;
import java.util.ArrayList;
import java.util.List;
/**
* Created by IntelliJ IDEA.
* User: rpoplin
* Date: Dec 1, 2009
*
* The difference between this AnalysisDataManager and the RecalDataManager used by the Recalibration walkers is that here the collapsed data tables are indexed
* by only read group and the given covariate, while in the recalibrator the collapsed tables are indexed by read group, reported quality, and the given covariate.
*/
public class AnalysisDataManager {
private NHashMap<RecalDatum> dataCollapsedReadGroup; // Table where everything except read group has been collapsed
private ArrayList<NHashMap<RecalDatum>> dataCollapsedByCovariate; // Tables where everything except read group and given covariate has been collapsed
AnalysisDataManager() {
}
AnalysisDataManager( final int numCovariates ) {
dataCollapsedReadGroup = new NHashMap<RecalDatum>();
dataCollapsedByCovariate = new ArrayList<NHashMap<RecalDatum>>();
for( int iii = 0; iii < numCovariates - 1; iii++ ) { // readGroup isn't counted here, its table is separate
dataCollapsedByCovariate.add( new NHashMap<RecalDatum>() );
}
}
/**
* Add the given mapping to all of the collapsed hash tables
* @param key The list of comparables that is the key for this mapping
* @param fullDatum The RecalDatum which is the data for this mapping
*/
public final void addToAllTables( final List<? extends Comparable> key, final RecalDatum fullDatum, final int IGNORE_QSCORES_LESS_THAN ) {
int qscore = Integer.parseInt( key.get(1).toString() );
ArrayList<Comparable> newKey;
RecalDatum collapsedDatum;
if( !(qscore < IGNORE_QSCORES_LESS_THAN) ) {
// Create dataCollapsedReadGroup, the table where everything except read group has been collapsed
newKey = new ArrayList<Comparable>();
newKey.add( key.get(0) ); // Make a new key with just the read group
collapsedDatum = dataCollapsedReadGroup.get( newKey );
if( collapsedDatum == null ) {
dataCollapsedReadGroup.put( newKey, new RecalDatum(fullDatum) );
} else {
collapsedDatum.combine( fullDatum ); // using combine instead of increment in order to calculate overall aggregateQReported
}
}
// Create dataCollapsedByCovariate's, the tables where everything except read group, quality score, and given covariate has been collapsed
for( int iii = 0; iii < dataCollapsedByCovariate.size(); iii++ ) {
if( iii == 0 || !(qscore < IGNORE_QSCORES_LESS_THAN) ) { // use all data for the plot versus reported quality, but not for the other plots versus cycle and etc.
newKey = new ArrayList<Comparable>();
newKey.add( key.get(0) ); // Make a new key with the read group ...
newKey.add( key.get(iii + 1) ); // and the given covariate
collapsedDatum = dataCollapsedByCovariate.get(iii).get( newKey );
if( collapsedDatum == null ) {
dataCollapsedByCovariate.get(iii).put( newKey, new RecalDatum(fullDatum) );
} else {
collapsedDatum.combine( fullDatum );
}
}
}
}
/**
* Get the appropriate collapsed table out of the set of all the tables held by this Object
* @param covariate Which covariate indexes the desired collapsed HashMap
* @return The desired collapsed HashMap
*/
public final NHashMap<RecalDatum> getCollapsedTable( final int covariate ) {
if( covariate == 0) {
return dataCollapsedReadGroup; // Table where everything except read group has been collapsed
} else {
return dataCollapsedByCovariate.get( covariate - 1 ); // Table where everything except read group, quality score, and given covariate has been collapsed
}
}
}