public class msa_compactor {
- final private static NumberFormat NF_1 = new DecimalFormat( "#.0" );
+ final private static NumberFormat NF_1 = new DecimalFormat( "0.#" );
+ final private static NumberFormat NF_4 = new DecimalFormat( "0.####" );
static {
NF_1.setRoundingMode( RoundingMode.HALF_UP );
+ NF_4.setRoundingMode( RoundingMode.HALF_UP );
}
final static private String HELP_OPTION_1 = "help";
final static private String HELP_OPTION_2 = "h";
final static private String MIN_LENGTH_OPTION = "ml";
final static private String GAP_RATIO_LENGTH_OPTION = "gr";
final static private String REPORT_ENTROPY = "e";
- final static private String OUTPUT_FORMAT_PHYLIP_OPTION = "p";
+ final static private String OUTPUT_FORMAT_OPTION = "f";
final static private String OUTPUT_REMOVED_SEQS_OPTION = "ro";
final static private String MAFFT_OPTIONS = "mo";
final static private String PERFORM_PHYLOGENETIC_INFERENCE = "t";
allowed_options.add( MIN_LENGTH_OPTION );
allowed_options.add( GAP_RATIO_LENGTH_OPTION );
allowed_options.add( REPORT_ENTROPY );
- allowed_options.add( OUTPUT_FORMAT_PHYLIP_OPTION );
+ allowed_options.add( OUTPUT_FORMAT_OPTION );
allowed_options.add( OUTPUT_REMOVED_SEQS_OPTION );
allowed_options.add( MAFFT_OPTIONS );
allowed_options.add( PERFORM_PHYLOGENETIC_INFERENCE );
final DescriptiveStatistics initial_msa_stats = MsaMethods.calculateEffectiveLengthStatistics( msa );
final boolean chart_only = ( !cla.isOptionSet( LENGTH_OPTION ) )
&& ( !cla.isOptionSet( REMOVE_WORST_OFFENDERS_OPTION ) )
- && ( !cla.isOptionSet( AV_GAPINESS_OPTION ) );
+ && ( !cla.isOptionSet( AV_GAPINESS_OPTION ) && ( !cla.isOptionSet( MIN_LENGTH_OPTION ) ) );
if ( !chart_only && ( out == null ) ) {
ForesterUtil.fatalError( PRG_NAME, "outfile file missing" );
}
+ initial_msa_stats.getMin() + ") ]: " + length );
}
}
+ if ( cla.isOptionSet( MIN_LENGTH_OPTION ) ) {
+ if ( cla.isOptionSet( LENGTH_OPTION ) || cla.isOptionSet( REMOVE_WORST_OFFENDERS_OPTION )
+ || cla.isOptionSet( AV_GAPINESS_OPTION ) || cla.isOptionSet( STEP_OPTION )
+ || cla.isOptionSet( REALIGN_OPTION ) || cla.isOptionSet( PATH_TO_MAFFT_OPTION )
+ || cla.isOptionSet( STEP_FOR_DIAGNOSTICS_OPTION ) || cla.isOptionSet( REPORT_ENTROPY )
+ || cla.isOptionSet( OUTPUT_REMOVED_SEQS_OPTION )
+ || cla.isOptionSet( PERFORM_PHYLOGENETIC_INFERENCE ) ) {
+ printHelp();
+ System.exit( 0 );
+ }
+ min_length = cla.getOptionValueAsInt( MIN_LENGTH_OPTION );
+ if ( ( min_length < 2 ) || ( min_length > initial_msa_stats.getMax() ) ) {
+ ForesterUtil.fatalError( PRG_NAME, "value for minimal sequence length is out of range: "
+ + min_length );
+ }
+ }
if ( cla.isOptionSet( STEP_OPTION ) ) {
step = cla.getOptionValueAsInt( STEP_OPTION );
if ( ( step < 1 )
+ step_for_diagnostics );
}
}
- if ( cla.isOptionSet( MIN_LENGTH_OPTION ) ) {
- min_length = cla.getOptionValueAsInt( MIN_LENGTH_OPTION );
- if ( ( min_length < 2 ) || ( min_length > initial_msa_stats.getMax() ) ) {
- ForesterUtil.fatalError( PRG_NAME, "value for minimal sequence length is out of range: "
- + min_length );
- }
- }
if ( cla.isOptionSet( GAP_RATIO_LENGTH_OPTION ) ) {
gap_ratio = cla.getOptionValueAsDouble( GAP_RATIO_LENGTH_OPTION );
if ( ( gap_ratio < 0 ) || ( gap_ratio > 1 ) ) {
if ( cla.isOptionSet( REPORT_ENTROPY ) ) {
report_entropy = true;
}
- if ( cla.isOptionSet( OUTPUT_FORMAT_PHYLIP_OPTION ) ) {
- output_format = MSA_FORMAT.PHYLIP;
+ if ( cla.isOptionSet( OUTPUT_FORMAT_OPTION ) ) {
+ final String fs = cla.getOptionValueAsCleanString( OUTPUT_FORMAT_OPTION );
+ if ( fs.equalsIgnoreCase( "p" ) ) {
+ output_format = MSA_FORMAT.PHYLIP;
+ }
+ else if ( fs.equalsIgnoreCase( "f" ) ) {
+ output_format = MSA_FORMAT.FASTA;
+ }
+ else if ( fs.equalsIgnoreCase( "n" ) ) {
+ output_format = MSA_FORMAT.NEXUS;
+ }
+ else {
+ ForesterUtil.fatalError( PRG_NAME, "illegal or empty output format option: " + fs );
+ }
}
if ( cla.isOptionSet( OUTPUT_REMOVED_SEQS_OPTION ) ) {
final String s = cla.getOptionValueAsCleanString( OUTPUT_REMOVED_SEQS_OPTION );
+ NF_1.format( initial_msa_stats.arithmeticMean() ) );
System.out.println( " Max sequence length : " + ( ( int ) initial_msa_stats.getMax() ) );
System.out.println( " Min sequence length : " + ( ( int ) initial_msa_stats.getMin() ) );
+ System.out.println( " Gap ratio : "
+ + NF_4.format( MsaMethods.calcGapRatio( msa ) ) );
+ System.out.println( " Normalized Shannon Entropy (entn21): "
+ + NF_4.format( MsaMethods.calcNormalizedShannonsEntropy( 21, msa ) ) );
if ( !chart_only ) {
System.out.println( "Output : " + out );
}
System.out.println( "Maximum allowed gap ratio per column : " + gap_ratio );
}
if ( ( out != null ) || ( removed_seqs_out_base != null ) ) {
- System.out.println( "Output format : "
- + ( output_format == MSA_FORMAT.FASTA ? "fasta" : "phylip" ) );
- }
- if ( chart_only && !realign ) {
- System.out.println( "Step for output and re-aligning : n/a" );
+ System.out.print( "Output format : " );
+ if ( output_format == MSA_FORMAT.FASTA ) {
+ System.out.println( "fasta" );
+ }
+ else if ( output_format == MSA_FORMAT.PHYLIP ) {
+ System.out.println( "phylip" );
+ }
+ else if ( output_format == MSA_FORMAT.NEXUS ) {
+ System.out.println( "nexus" );
+ }
}
- else {
- if ( chart_only ) {
- System.out.println( "Step for re-aligning : " + step );
+ if ( min_length == -1 ) {
+ if ( chart_only && !realign ) {
+ System.out.println( "Step for output and re-aligning : n/a" );
}
else {
- System.out.println( "Step for output and re-aligning : " + step );
+ if ( chart_only ) {
+ System.out.println( "Step for re-aligning : " + step );
+ }
+ else {
+ System.out.println( "Step for output and re-aligning : " + step );
+ }
}
+ System.out.println( "Step for diagnostics reports : " + step_for_diagnostics );
+ System.out.println( "Calculate normalized Shannon Entropy : " + report_entropy );
+ if ( !norm ) {
+ System.out.println( "Normalize : " + norm );
+ }
+ System.out.println( "Realign with MAFFT : " + realign );
+ if ( realign ) {
+ System.out.println( "MAFFT options : " + mafft_options );
+ }
+ System.out.println( "Simple tree (Kimura distances, NJ) : " + perform_phylogenetic_inference );
}
- System.out.println( "Step for diagnostics reports : " + step_for_diagnostics );
- System.out.println( "Calculate normalized Shannon Entropy : " + report_entropy );
- if ( !norm ) {
- System.out.println( "Normalize : " + norm );
- }
- System.out.println( "Realign with MAFFT : " + realign );
- if ( realign ) {
- System.out.println( "MAFFT options : " + mafft_options );
- }
- System.out.println( "Simple tree (Kimura distances, NJ) : " + perform_phylogenetic_inference );
System.out.println();
final int initial_number_of_seqs = msa.getNumberOfSequences();
List<MsaProperties> msa_props = null;
final MsaCompactor mc = new MsaCompactor( msa );
mc.setInfileName( in.getName() );
- mc.setNorm( norm );
- mc.setRealign( realign );
- if ( realign ) {
- mc.setPathToMafft( path_to_mafft );
- mc.setMafftOptions( mafft_options );
- }
- mc.setStep( step );
- mc.setStepForDiagnostics( step_for_diagnostics );
- mc.setCalculateNormalizedShannonEntropy( report_entropy );
- mc.setPeformPhylogenticInference( perform_phylogenetic_inference );
- if ( ( worst_remove > 0 ) || ( av_gap > 0 ) || ( length > 0 ) ) {
+ if ( ( worst_remove > 0 ) || ( av_gap > 0 ) || ( length > 0 ) || ( min_length != -1 ) ) {
mc.setOutputFormat( output_format );
mc.setOutFileBase( out );
- if ( removed_seqs_out_base != null ) {
- mc.setRemovedSeqsOutBase( removed_seqs_out_base );
- }
}
- if ( min_length > 1 ) {
+ if ( min_length != -1 ) {
mc.removeSequencesByMinimalLength( min_length );
- mc.writeMsa( new File( "removed" ) );
- }
- if ( worst_remove > 0 ) {
- msa_props = mc.removeWorstOffenders( worst_remove );
- }
- else if ( av_gap > 0 ) {
- msa_props = mc.removeViaGapAverage( av_gap );
- }
- else if ( length > 0 ) {
- msa_props = mc.removeViaLength( length );
}
else {
- msa_props = mc.chart( step, realign, norm );
+ mc.setPeformPhylogenticInference( perform_phylogenetic_inference );
+ if ( removed_seqs_out_base != null ) {
+ mc.setRemovedSeqsOutBase( removed_seqs_out_base );
+ }
+ mc.setNorm( norm );
+ mc.setRealign( realign );
+ if ( realign ) {
+ mc.setPathToMafft( path_to_mafft );
+ mc.setMafftOptions( mafft_options );
+ }
+ mc.setStep( step );
+ mc.setStepForDiagnostics( step_for_diagnostics );
+ mc.setCalculateNormalizedShannonEntropy( report_entropy );
+ if ( worst_remove > 0 ) {
+ msa_props = mc.removeWorstOffenders( worst_remove );
+ }
+ else if ( av_gap > 0 ) {
+ msa_props = mc.removeViaGapAverage( av_gap );
+ }
+ else if ( length > 0 ) {
+ msa_props = mc.removeViaLength( length );
+ }
+ else {
+ msa_props = mc.chart( step, realign, norm );
+ }
+ Chart.display( msa_props, initial_number_of_seqs, report_entropy, in.getName() );
}
- Chart.display( msa_props, initial_number_of_seqs, report_entropy, in.getName() );
}
catch ( final IllegalArgumentException iae ) {
// iae.printStackTrace(); //TODO remove me
+ "=<integer> step for diagnostics reports (default: 1)" );
System.out.println( " -" + REPORT_ENTROPY
+ " to calculate normalized Shannon Entropy (not recommended for very large alignments)" );
- System.out.println( " -" + OUTPUT_FORMAT_PHYLIP_OPTION
- + " to write output alignments in phylip format instead of fasta" );
+ System.out.println( " -" + OUTPUT_FORMAT_OPTION
+ + "=<f|p|n> format for output alignments: f for fasta (default), p for phylip, or n for nexus" );
System.out.println( " -" + OUTPUT_REMOVED_SEQS_OPTION + "=<file> to output the removed sequences" );
System.out.println( " -" + MIN_LENGTH_OPTION
+ "=<integer> minimal effecive sequence length (for deleting of shorter sequences)" );
case FASTA:
writeToFasta( w );
break;
+ case NEXUS:
+ writeToNexus( w );
+ break;
default:
throw new RuntimeException( "unknown format " + format );
}
SequenceWriter.writeSeqs( asSequenceList(), w, SEQ_FORMAT.FASTA, 100 );
}
+ private void writeToNexus( final Writer w ) throws IOException {
+ final int max = determineMaxIdLength() + 1;
+ w.write( "Begin Data;" );
+ w.write( ForesterUtil.LINE_SEPARATOR );
+ w.write( " Dimensions NTax=" + getNumberOfSequences() );
+ w.write( " NChar=" + getLength() );
+ w.write( ";" );
+ w.write( ForesterUtil.LINE_SEPARATOR );
+ w.write( " Format DataType=Protein Interleave=No gap=-;" );
+ w.write( ForesterUtil.LINE_SEPARATOR );
+ w.write( " Matrix" );
+ w.write( ForesterUtil.LINE_SEPARATOR );
+ for( int row = 0; row < getNumberOfSequences(); ++row ) {
+ final Sequence seq = getSequence( row );
+ final String s = seq.getMolecularSequenceAsString();
+ w.write( " " );
+ w.write( ForesterUtil.pad( getIdentifier( row ).replace( ' ', '_' ), max, ' ', false ).toString() );
+ w.write( " " );
+ w.write( s );
+ w.write( ForesterUtil.LINE_SEPARATOR );
+ }
+ w.write( " ;" );
+ w.write( ForesterUtil.LINE_SEPARATOR );
+ w.write( "End;" );
+ w.write( ForesterUtil.LINE_SEPARATOR );
+ }
+
private void writeToPhylip( final Writer w ) throws IOException {
final int max = determineMaxIdLength() + 1;
+ w.write( getNumberOfSequences() + " " + getLength() );
+ w.write( ForesterUtil.LINE_SEPARATOR );
for( int row = 0; row < getNumberOfSequences(); ++row ) {
- w.write( ForesterUtil.pad( getIdentifier( row ), max, ' ', false ).toString() );
+ w.write( ForesterUtil.pad( getIdentifier( row ).replace( ' ', '_' ), max, ' ', false ).toString() );
for( int col = 0; col < getLength(); ++col ) {
w.write( getResidueAt( row, col ) );
}
import org.forester.sequence.Sequence;
import org.forester.tools.ConfidenceAssessor;
import org.forester.util.BasicDescriptiveStatistics;
+import org.forester.util.DescriptiveStatistics;
import org.forester.util.ForesterUtil;
public class MsaCompactor {
- final private static NumberFormat NF_3 = new DecimalFormat( "#.###" );
- final private static NumberFormat NF_4 = new DecimalFormat( "#.####" );
+ final private static NumberFormat NF_1 = new DecimalFormat( "0.#" );
+ final private static NumberFormat NF_3 = new DecimalFormat( "0.###" );
+ final private static NumberFormat NF_4 = new DecimalFormat( "0.####" );
private boolean _calculate_shannon_entropy = false;
//
private String _infile_name = null;
private int _step = -1;
private int _step_for_diagnostics = -1;
static {
+ NF_1.setRoundingMode( RoundingMode.HALF_UP );
NF_4.setRoundingMode( RoundingMode.HALF_UP );
NF_3.setRoundingMode( RoundingMode.HALF_UP );
}
return _msa;
}
- public final void removeSequencesByMinimalLength( final int min_effective_length ) {
- printMsaProperties( new MsaProperties( _msa, "", _calculate_shannon_entropy ) );
- System.out.println();
+ public final void removeSequencesByMinimalLength( final int min_effective_length ) throws IOException {
_msa = DeleteableMsa.createInstance( MsaMethods.removeSequencesByMinimalLength( _msa, min_effective_length ) );
removeGapColumns();
- printMsaProperties( new MsaProperties( _msa, "", _calculate_shannon_entropy ) );
+ final String s = writeOutfile();
+ final DescriptiveStatistics msa_stats = MsaMethods.calculateEffectiveLengthStatistics( _msa );
+ System.out.println( "Output MSA : " + s );
+ System.out.println( " MSA length : " + _msa.getLength() );
+ System.out.println( " Number of sequences : " + _msa.getNumberOfSequences() );
+ System.out.println( " Median sequence length : " + NF_1.format( msa_stats.median() ) );
+ System.out.println( " Mean sequence length : " + NF_1.format( msa_stats.arithmeticMean() ) );
+ System.out.println( " Max sequence length : " + ( ( int ) msa_stats.getMax() ) );
+ System.out.println( " Min sequence length : " + ( ( int ) msa_stats.getMin() ) );
+ System.out.println( " Gap ratio : " + NF_4.format( MsaMethods.calcGapRatio( _msa ) ) );
+ System.out.println( " Normalized Shannon Entropy (entn21): "
+ + NF_4.format( MsaMethods.calcNormalizedShannonsEntropy( 21, _msa ) ) );
System.out.println();
}