Bio::Tools::Phylo::Molphy::Result - container for data parsed from a ProtML run
# do not use this object directly, you will get it back as part of a
# Molphy parser
use Bio::Tools::Phylo::Molphy;
my $parser = Bio::Tools::Phylo::Molphy->new(-file => 'output.protml');
while( my $r = $parser->next_result ) {
# r is a Bio::Tools::Phylo::Molphy::Result object
# print the model name
print $r->model, "\n";
# get the substitution matrix
# this is a hash of 3letter aa codes -> 3letter aa codes representing
# substitution rate
my $smat = $r->substitution_matrix;
print "Arg -> Gln substitution rate is %d\n",
$smat->{'Arg'}->{'Gln'}, "\n";
# get the transition probablity matrix
# this is a hash of 3letter aa codes -> 3letter aa codes representing
# transition probabilty
my $tmat = $r->transition_probability_matrix;
print "Arg -> Gln transition probablity is %.2f\n",
$tmat->{'Arg'}->{'Gln'}, "\n";
# get the frequency for each of the residues
my $rfreqs = $r->residue_frequencies;
foreach my $residue ( keys %{$rfreqs} ) {
printf "residue %s expected freq: %.2f observed freq: %.2f\n",
$residue,$rfreqs->{$residue}->[0], $rfreqs->{$residue}->[1];
}
my @trees;
while( my $t = $r->next_tree ) {
push @trees, $t;
}
print "search space is ", $r->search_space, "\n",
"1st tree score is ", $trees[0]->score, "\n";
# writing to STDOUT, use -file => '>filename' to specify a file
my $out = Bio::TreeIO->new(-format => "newick");
$out->write_tree($trees[0]); # writing only the 1st tree
}
A container for data parsed from a ProtML run.
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The rest of the documentation details each of the object methods. Internal
methods are usually preceded with a _
Title : new
Usage : my $obj = Bio::Tools::Phylo::Molphy::Result->new();
Function: Builds a new Bio::Tools::Phylo::Molphy::Result object
Returns : Bio::Tools::Phylo::Molphy::Result
Args :
Title : model
Usage : $obj->model($newval)
Function:
Returns : value of model
Args : newvalue (optional)
Title : substitution_matrix
Usage : my $smat = $result->subsitution_matrix;
Function: Get the relative substitution matrix calculated in the ML procedure
Returns : reference to hash of hashes where key is the aa/nt name and value
is another hash ref which contains keys for all the aa/nt
possibilities
Args : none
Title : transition_probability_matrix
Usage : my $matrixref = $molphy->transition_probablity_matrix();
Function: Gets the observed transition probability matrix
Returns : hash of hashes of aa/nt transition to each other aa/nt
Args : Transition matrix type, typically
'1PAM-1.0e05' or '1PAM-1.0e07'
Title : residue_frequencies
Usage : my %data = $molphy->residue_frequencies()
Function: Get the modeled and expected frequencies for
each of the residues in the sequence
Returns : hash of either aa (protml) or nt (nucml) frequencies
each key will point to an array reference where
1st slot is model's expected frequency
2nd slot is observed frequency in the data
$hash{'A'}->[0] =
Args : none
Title : next_tree
Usage : my $tree = $factory->next_tree;
Function: Get the next tree from the factory
Returns : L<Bio::Tree::TreeI>
Args : none
Title : rewind_tree_iterator
Usage : $result->rewind_tree()
Function: Rewinds the tree iterator so that next_tree can be
called again from the beginning
Returns : none
Args : none
Title : add_tree
Usage : $result->add_tree($tree);
Function: Adds a tree
Returns : integer which is the number of trees stored
Args : L<Bio::Tree::TreeI>
Title : search_space
Usage : $obj->search_space($newval)
Function:
Returns : value of search_space
Args : newvalue (optional)