# $Id: ProteinStatistics.pm 16123 2009-09-17 12:57:27Z cjfields $ # # BioPerl module for Bio::Align::ProteinStatistics # # Please direct questions and support issues to # # Cared for by Jason Stajich # # Copyright Jason Stajich # # You may distribute this module under the same terms as perl itself # POD documentation - main docs before the code =head1 NAME Bio::Align::ProteinStatistics - Calculate Protein Alignment statistics (mostly distances) =head1 SYNOPSIS use Bio::Align::ProteinStatistics; use Bio::AlignIO; my $in = Bio::AlignIO->new(-format => 'fasta', -file => 'pep-104.fasaln'); my $aln = $in->next_aln; my $pepstats = Bio::Align::ProteinStatistics->new(); $kimura = $protstats->distance(-align => $aln, -method => 'Kimura'); print $kimura->print_matrix; =head1 DESCRIPTION This object is for generating various statistics from a protein alignment. Mostly it is where pairwise protein distances can be calculated. =head1 REFERENCES D_Kimura - Kimura, M. 1983. The Neutral Theory of Molecular Evolution. CUP, Cambridge. =head1 FEEDBACK =head2 Mailing Lists User feedback is an integral part of the evolution of this and other Bioperl modules. Send your comments and suggestions preferably to the Bioperl mailing list. Your participation is much appreciated. bioperl-l@bioperl.org - General discussion http://bioperl.org/wiki/Mailing_lists - About the mailing lists =head2 Support Please direct usage questions or support issues to the mailing list: I rather than to the module maintainer directly. Many experienced and reponsive experts will be able look at the problem and quickly address it. Please include a thorough description of the problem with code and data examples if at all possible. =head2 Reporting Bugs Report bugs to the Bioperl bug tracking system to help us keep track of the bugs and their resolution. Bug reports can be submitted via the web: http://bugzilla.open-bio.org/ =head1 AUTHOR - Jason Stajich Email jason-at-bioperl.org =head1 APPENDIX The rest of the documentation details each of the object methods. Internal methods are usually preceded with a _ =cut # Let the code begin... package Bio::Align::ProteinStatistics; use vars qw(%DistanceMethods $Precision $DefaultGapPenalty); use strict; use Bio::Align::PairwiseStatistics; use Bio::Matrix::PhylipDist; %DistanceMethods = ('kimura|k' => 'Kimura', ); $Precision = 5; $DefaultGapPenalty = 0; use base qw(Bio::Root::Root Bio::Align::StatisticsI); =head2 new Title : new Usage : my $obj = Bio::Align::ProteinStatistics->new(); Function: Builds a new Bio::Align::ProteinStatistics object Returns : an instance of Bio::Align::ProteinStatistics Args : =cut sub new { my($class,@args) = @_; my $self = $class->SUPER::new(@args); $self->pairwise_stats( Bio::Align::PairwiseStatistics->new()); return $self; } =head2 distance Title : distance Usage : my $distance_mat = $stats->distance(-align => $aln, -method => $method); Function: Calculates a distance matrix for all pairwise distances of sequences in an alignment. Returns : L object Args : -align => Bio::Align::AlignI object -method => String specifying specific distance method (implementing class may assume a default) =cut sub distance{ my ($self,@args) = @_; my ($aln,$method) = $self->_rearrange([qw(ALIGN METHOD)],@args); if( ! defined $aln || ! ref ($aln) || ! $aln->isa('Bio::Align::AlignI') ) { $self->throw("Must supply a valid Bio::Align::AlignI for the -align parameter in distance"); } $method ||= 'Kimura'; foreach my $m ( keys %DistanceMethods ) { if(defined $m && $method =~ /$m/i ) { my $mtd = "D_$DistanceMethods{$m}"; return $self->$mtd($aln); } } $self->warn("Unrecognized distance method $method must be one of [". join(',',$self->available_distance_methods())."]"); return; } =head2 available_distance_methods Title : available_distance_methods Usage : my @methods = $stats->available_distance_methods(); Function: Enumerates the possible distance methods Returns : Array of strings Args : none =cut sub available_distance_methods{ my ($self,@args) = @_; return values %DistanceMethods; } =head2 D - distance methods =cut =head2 D_Kimura Title : D_Kimura Usage : my $matrix = $pepstats->D_Kimura($aln); Function: Calculate Kimura protein distance (Kimura 1983) which approximates PAM distance D = -ln ( 1 - p - 0.2 * p^2 ) Returns : L Args : L =cut # Kimura, M. 1983. The Neutral Theory of Molecular Evolution. CUP, Cambridge. sub D_Kimura{ my ($self,$aln) = @_; return 0 unless $self->_check_arg($aln); # ambiguities ignored at this point my (@seqs,@names,@values,%dist); my $seqct = 0; foreach my $seq ( $aln->each_seq) { push @names, $seq->display_id; push @seqs, uc $seq->seq(); $seqct++; } my $len = $aln->length; my $precisionstr = "%.$Precision"."f"; for( my $i = 0; $i < $seqct-1; $i++ ) { # (diagonals) distance is 0 for same sequence $dist{$names[$i]}->{$names[$i]} = [$i,$i]; $values[$i][$i] = sprintf($precisionstr,0); for( my $j = $i+1; $j < $seqct; $j++ ) { my ($scored,$match) = (0,0); for( my $k=0; $k < $len; $k++ ) { my $m1 = substr($seqs[$i],$k,1); my $m2 = substr($seqs[$j],$k,1); if( $m1 ne '-' && $m2 ne '-' ) { # score is number of scored bases (alignable bases) # it could have also come from # my $L = $self->pairwise_stats->number_of_comparable_bases($pairwise); # match is number of matches weighting ambiguity bases # as well $match += _check_ambiguity_protein($m1,$m2); $scored++; } } # From Felsenstein's PHYLIP documentation: # This is very quick to do but has some obvious # limitations. It does not take into account which amino # acids differ or to what amino acids they change, so some # information is lost. The units of the distance measure # are fraction of amino acids differing, as also in the # case of the PAM distance. If the fraction of amino acids # differing gets larger than 0.8541 the distance becomes # infinite. my $D = 1 - ( $match / $scored ); if( $D < 0.8541 ) { $D = - log ( 1 - $D - (0.2 * ($D ** 2))); $values[$j][$i] = $values[$i][$j] = sprintf($precisionstr,$D); } else { $values[$j][$i] = $values[$i][$j] = ' NaN'; } # fwd and rev lookup $dist{$names[$i]}->{$names[$j]} = [$i,$j]; $dist{$names[$j]}->{$names[$i]} = [$i,$j]; # (diagonals) distance is 0 for same sequence $dist{$names[$j]}->{$names[$j]} = [$j,$j]; $values[$j][$j] = sprintf($precisionstr,0); } } return Bio::Matrix::PhylipDist->new(-program => 'bioperl_PEPstats', -matrix => \%dist, -names => \@names, -values => \@values); } # some methods from EMBOSS distmat sub _check_ambiguity_protein { my ($t1,$t2) = @_; my $n = 0; if( $t1 ne 'X' && $t1 eq $t2 ) { $n = 1.0; } elsif( ((($t1 eq 'B' && $t2 eq 'DN') || ($t2 eq 'B' && $t2 eq 'DN'))) || ( ($t1 eq 'Z' && $t2 eq 'EQ') || ($t2 eq 'Z' && $t1 eq 'EQ'))) { $n = 0.5; } elsif ( $t1 eq 'X' && $t2 eq 'X' ) { $n = 0.0025; } elsif( $t1 eq 'X' || $t2 eq 'X' ) { $n = 0.05; } return $n; } =head2 Data Methods =cut =head2 pairwise_stats Title : pairwise_stats Usage : $obj->pairwise_stats($newval) Function: Returns : value of pairwise_stats Args : newvalue (optional) =cut sub pairwise_stats{ my ($self,$value) = @_; if( defined $value) { $self->{'_pairwise_stats'} = $value; } return $self->{'_pairwise_stats'}; } sub _check_arg { my($self,$aln ) = @_; if( ! defined $aln || ! $aln->isa('Bio::Align::AlignI') ) { $self->warn("Must provide a Bio::Align::AlignI compliant object to Bio::Align::DNAStatistics"); return 0; } elsif( $aln->get_seq_by_pos(1)->alphabet ne 'protein' ) { $self->warn("Must provide a protein alignment to Bio::Align::ProteinStatistics, you provided a " . $aln->get_seq_by_pos(1)->alphabet); return 0; } return 1; } 1;