Bio::EnsEMBL::Analysis::Tools ExonerateTranscriptFilter
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Summary
  Bio::EnsEMBL::Analysis::Tools::ExonerateTranscriptFilter
Package variables
No package variables defined.
Included modules
Bio::EnsEMBL::Root
Bio::EnsEMBL::Utils::Argument qw ( rearrange )
Bio::EnsEMBL::Utils::Exception qw ( verbose throw warning )
Data::Dumper
Inherit
Bio::EnsEMBL::Root
Synopsis
  my $filter = new Bio::EnsEMBL::Analysis::Tools::ExonerateTranscriptFilter
new->(
-best_in_genome => 1,
-reject_processed_pseudos => 1,
-coverage => 80,
-percent_id => 90,
);
my @filtered_results = @{$filter->filter_results(\@results)};
Description
This is the standard module used for filtering Exonerate transcripts
Methods
_get_transcript_coverage
No description
Code
_get_transcript_evidence_id
No description
Code
_get_transcript_percent_id
No description
Code
_transcript_is_spliced
No description
Code
best_in_genome
No description
Code
filter_resultsDescriptionCode
min_coverage
No description
Code
min_percent
No description
Code
newDescriptionCode
reject_processed_pseudos
No description
Code
Methods description
filter_resultscode    nextTop
  Arg [1]   : Bio::EnsEMBL::Analysis::Tools::DefaultExonerateFilter
Arg [2] : arrayref of Trancripts
Function : filter the given Transcruipts in the tried and trusted manner
Returntype: arrayref
Exceptions: throws if passed nothing or not an arrayref
Example :
newcodeprevnextTop
  Returntype: Bio::EnsEMBL::Analysis::Tools::ExonerateTranscriptFilter
Exceptions: none
Example :
Methods code
_get_transcript_coveragedescriptionprevnextTop
sub _get_transcript_coverage {
  my ($self,$tran) = @_;

  if (@{$tran->get_all_supporting_features} and
      defined $tran->get_all_supporting_features->[0]->hcoverage) {
    my ($evi) = @{$tran->get_all_supporting_features};
    return $evi->hcoverage;
  } else {
    my @exons = @{$tran->get_all_Exons};
    my ($evi) = @{$exons[0]->get_all_supporting_features};
    return $evi->score;
  }
}

############################################################
}
_get_transcript_evidence_iddescriptionprevnextTop
sub _get_transcript_evidence_id {
  my ($self,$tran) = @_;

  my ($sf);

  if (@{$tran->get_all_supporting_features}) {
    ($sf) = @{$tran->get_all_supporting_features};
  } else {
    my @exons = @{$tran->get_all_Exons};
    ($sf) = @{$exons[0]->get_all_supporting_features};    
  }
  
  return $sf->hseqname;
}

############################################################
}
_get_transcript_percent_iddescriptionprevnextTop
sub _get_transcript_percent_id {
  my ($self,$tran) = @_;

  my ($sf);

  if (@{$tran->get_all_supporting_features}) {
    ($sf) = @{$tran->get_all_supporting_features};
  } else {
    my @exons = @{$tran->get_all_Exons};
    ($sf) = @{$exons[0]->get_all_supporting_features};    
  }

  return $sf->percent_id;
}

############################################################
}
_transcript_is_spliceddescriptionprevnextTop
sub _transcript_is_spliced {
  my ($self, $tran) = @_;

  my @exons = sort { $a->start <=> $b->start } @{$tran->get_all_Exons};

  if ( scalar (@exons) > 1 ){    
    # check that there are non "frameshift" introns
for(my $i=0; $i < @exons - 1; $i++){ my $intron_len = $exons[$i+1]->start - $exons[$i]->end - 1; if ( $intron_len > 9 ){ return 1; } } } return 0; } # containers
}
best_in_genomedescriptionprevnextTop
sub best_in_genome {
  my $self = shift;
  $self->{'_best_in_genome'} = shift if(@_);

  return exists($self->{'_best_in_genome'}) ? $self->{'_best_in_genome'} : 0;
}
filter_resultsdescriptionprevnextTop
sub filter_results {
  my ($self, $transcripts) = @_;
  
  # results are Bio::EnsEMBL::Transcripts with exons and supp_features
my @good_matches; my %matches; TRAN: foreach my $transcript (@$transcripts ){ my $coverage = $self->_get_transcript_coverage($transcript); my $percent_id = $self->_get_transcript_percent_id($transcript); my $id = $self->_get_transcript_evidence_id($transcript); push @{$matches{$id}}, { transcript => $transcript, coverage => $coverage, percent_id => $percent_id, num_exons => scalar(@{$transcript->get_all_Exons}), is_spliced => $self->_transcript_is_spliced($transcript), }; } my %matches_sorted_by_coverage; my %selected_matches; QUERY: foreach my $query_id ( keys( %matches ) ){ @{$matches_sorted_by_coverage{$query_id}} = sort { $b->{coverage} <=> $a->{coverage} or $b->{num_exons} <=> $a->{num_exons} or $b->{percent_id} <=> $a->{percent_id} } @{$matches{$query_id}}; my $max_coverage; my $perc_id_of_best; my $count = 0; my $splices_elsewhere = 0; my $best_has_been_seen = 0; #print STDERR "####################\n";
#print STDERR "Matches for $query_id:\n";
#get the slice_name, start, and end of the best hit and store them to be used
#in checking of any other good hit may be overlaping the best prediction
# This is to avoid a match that spans over a region where two or more proteins of
# a same family are close together and they get merged by a wrong "good quallity" alignment
my $best_transcript = ${$matches_sorted_by_coverage{$query_id}}[0]->{transcript}; my $best_start = $best_transcript->start; my $best_end = $best_transcript->end; my $best_slice; if (!defined $best_transcript->slice) { $best_slice = $best_transcript->start_Exon->seqname; } else { $best_slice = $best_transcript->slice; } TRANSCRIPT: foreach my $hit ( @{$matches_sorted_by_coverage{$query_id}} ){ $count++; my ($accept, $label); my $transcript = $hit->{transcript}; my $strand = $transcript->strand; my $coverage = $hit->{coverage}; my $percent_id = $hit->{percent_id}; my $is_spliced = $hit->{is_spliced}; my $transcript_slice; if (!defined $transcript->slice) { $transcript_slice = $transcript->start_Exon->seqname; } else { $transcript_slice = $transcript->slice; } unless ($max_coverage){ $max_coverage = $coverage; } unless ( $perc_id_of_best ){ $perc_id_of_best = $percent_id; } if ( $count == 1 ){ $label = 'best_match'; } elsif ( $count > 1 && $splices_elsewhere && ! $is_spliced) { $label = 'potential_processed_pseudogene'; } else{ $label = $count; } if ( $count == 1 && $is_spliced ){ $splices_elsewhere = 1; } if ( $self->best_in_genome ){ # we keep the hit with the best coverage...
if ($coverage == $max_coverage && # as long as it has coverage/percent_id above limits or...
(($coverage >= $self->min_coverage && $percent_id >= $self->min_percent) || # ...if coverage is significanly greater than the
# specified minimum, then we are willing to accept
# hits that have a percent_id just below the specified
# minimum
($coverage >= (1 + 5/100) * $self->min_coverage &&
$percent_id >= (1 - 3/100) * $self->min_percent))) { if ( $self->reject_processed_pseudos && $count > 1 && $splices_elsewhere && ! $is_spliced) { $accept = 'NO'; } # ... if one transcript with lower quality completely overlaps
# the best one don't accept the lower quality one.
elsif ($best_slice eq $transcript_slice && $best_start > $transcript->start && $best_end < $transcript->end){ $accept = 'NO'; } else { $accept = 'YES'; push( @good_matches, $transcript); } } else{ $accept = 'NO'; } } else{ # we keep anything which is within the 2% of the best score...
if ($coverage >= (0.98 * $max_coverage) && # as long as it has coverage/percent_id above limits or...
(($coverage >= $self->min_coverage && $percent_id >= $self->min_percent) || # ...if coverage is significanly greater than the
# specified minimum, then we are willing to accept
# hits that have a percent_id just below the specified
# minimum
($coverage >= (1 + 5/100) * $self->min_coverage &&
$percent_id >= (1 - 3/100) * $self->min_percent))) { ############################################################
# non-best matches are kept only if they are not unspliced with the
# best match being spliced - otherwise they could be processed pseudogenes
if ( $self->reject_processed_pseudos && $count > 1 && $splices_elsewhere && ! $is_spliced) { $accept = 'NO'; } else{ $accept = 'YES'; push( @good_matches, $transcript); } } else{ $accept = 'NO'; } } } } return\@ good_matches; } ############################################################
}
min_coveragedescriptionprevnextTop
sub min_coverage {
  my $self = shift;
  $self->{'_min_coverage'} = shift if(@_);

  return exists($self->{'_min_coverage'}) ? $self->{'_min_coverage'} : undef;
}
min_percentdescriptionprevnextTop
sub min_percent {
  my $self = shift;
  $self->{'_min_percent'} = shift if(@_);

  return exists($self->{'_min_percent'}) ? $self->{'_min_percent'} : undef;
}
newdescriptionprevnextTop
sub new {
  my ($class,@args) = @_;
  my $self = $class->SUPER::new(@args);
  &verbose('WARNING');
  my ($min_coverage,
      $min_percent,
      $best_in_genome,
      $rpp) = 
        rearrange([
                   'COVERAGE',
                   'PERCENT_ID', 
                   'BEST_IN_GENOME',
                   'REJECT_PROCESSED_PSEUDOS',], @args); 

  ######################
#SETTING THE DEFAULTS#
######################
if (defined ($min_coverage)) { $self->min_coverage($min_coverage); } elsif ( !defined($self->min_coverage) ) { warn("\n\tmin_coverage not set, setting it to zero (0)!\n\n$!"); $self->min_coverage(0); } if (defined ($min_percent)) { $self->min_percent($min_percent); } elsif (!defined($self->min_percent)) { warn("\n\tmin_percent not set, setting it to zero (0)!\n\n$!"); $self->min_percent(0); } if (defined ($best_in_genome)) { $self->best_in_genome($best_in_genome); } elsif (!defined($self->best_in_genome)) { warn("\n\tbest_in_genome not set, setting it to one (1)!\n\n$!"); $self->best_in_genome(1); } if (defined ($rpp)) { $self->reject_processed_pseudos($rpp); } elsif (!defined($self->reject_processed_pseudos)) { warn("\n\treject_processed_pseudos, setting it to one (1)!\n\n$!"); $self->reject_processed_pseudos(1); } return $self; } #filter methods
}
reject_processed_pseudosdescriptionprevnextTop
sub reject_processed_pseudos {
  my $self = shift;
  $self->{'_reject_processed_pseudos'} = shift if(@_);

  return exists($self->{'_reject_processed_pseudos'}) ? $self->{'_reject_processed_pseudos'} : 0;
}



1;
}
General documentation
No general documentation available.