Bio::Tree::Statistics(3pm) User Contributed Perl Documentation Bio::Tree::Statistics(3pm)
NAME
Bio::Tree::Statistics - Calculate certain statistics for a Tree
SYNOPSIS
use Bio::Tree::Statistics;
DESCRIPTION
This should be where Tree statistics are calculated. It was previously where statistics from a Coalescent simulation.
It now contains several methods for calculating Tree-Trait statistics.
FEEDBACK
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
Support
Please direct usage questions or support issues to the mailing list:
bioperl-l@bioperl.org
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.
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:
https://redmine.open-bio.org/projects/bioperl/
AUTHOR - Jason Stajich
Email jason AT bioperl.org
CONTRIBUTORS
Heikki Lehvaslaiho, heikki at bioperl dot org
APPENDIX
The rest of the documentation details each of the object methods. Internal methods are usually preceded with a _
new
Title : new
Usage : my $obj = Bio::Tree::Statistics->new();
Function: Builds a new Bio::Tree::Statistics object
Returns : Bio::Tree::Statistics
Args :
assess_bootstrap
Title : assess_bootstrap
Usage : my $tree_with_bs = $stats->assess_bootstrap(@bs_trees);
Function: Calculates the bootstrap for internal nodes based on
Returns : L<Bio::Tree::TreeI>
Args : Arrayref of L<Bio::Tree::TreeI>s
cherries
Example : cherries($tree, $node);
Description: Count number of paired leaf nodes
in a binary tree
Returns : integer
Exceptions :
Args : 1. Bio::Tree::TreeI object
2. Bio::Tree::NodeI object within the tree, optional
Commonly used statistics assume a binary tree, but this methods returns a value even for trees with polytomies.
Tree-Trait statistics
The following methods produce desciptors of trait distribution among leaf nodes within the trees. They require that a trait has been set
for each leaf node. The tag methods of Bio::Tree::Node are used to store them as key/value pairs. In this way, one tree can store more than
one trait.
Trees have method add_traits() to set trait values from a file.
fitch
Example : fitch($tree, $key, $node);
Description: Calculates Parsimony Score (PS) and internal trait
values using the Fitch 1971 parsimony algorithm for
the subtree a defined by the (internal) node.
Node defaults to the root.
Returns : true on success
Exceptions : leaf nodes have to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. trait name string
3. Bio::Tree::NodeI object within the tree, optional
Runs first fitch_up that calculats parsimony scores and then fitch_down that should resolve most of the trait/character state ambiguities.
Fitch, W.M., 1971. Toward deieXXning the course of evolution: minimal change for a speciieXXc tree topology. Syst. Zool. 20, 406-416.
You can access calculated parsimony values using:
$score = $node->->get_tag_values('ps_score');
and the trait value with:
$traitvalue = $node->->get_tag_values('ps_trait'); # only the first
@traitvalues = $node->->get_tag_values('ps_trait');
Note that there can be more that one trait value, especially for the root node.
ps
Example : ps($tree, $key, $node);
Description: Calculates Parsimony Score (PS) from Fitch 1971
parsimony algorithm for the subtree a defined
by the (internal) node.
Node defaults to the root.
Returns : integer, 1< PS < n, where n is number of branches
Exceptions : leaf nodes have to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. trait name string
3. Bio::Tree::NodeI object within the tree, optional
This is the first half of the Fitch algorithm that is enough for calculating the resolved parsimony values. The trait/chararacter states
are commonly left in ambiguos state. To resolve them, run fitch_down.
fitch_up
Example : fitch_up($tree, $key, $node);
Description: Calculates Parsimony Score (PS) from the Fitch 1971
parsimony algorithm for the subtree a defined
by the (internal) node.
Node defaults to the root.
Returns : integer, 1< PS < n, where n is number of branches
Exceptions : leaf nodes have to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. trait name string
3. Bio::Tree::NodeI object within the tree, optional
This is a more generic name for ps and indicates that it performs the first bottom-up tree traversal that calculates the parsimony score
but usually leaves trait/character states ambiguous. If you are interested in internal trait states, running fitch_down should resolve most
of the ambiguities.
fitch_down
Example : fitch_down($tree, $node);
Description: Runs the second pass from Fitch 1971
parsimony algorithm to resolve ambiguous
trait states left by first pass.
by the (internal) node.
Node defaults to the root.
Returns : true
Exceptions : dies unless the trait is defined in all nodes
Args : 1. Bio::Tree::TreeI object
2. Bio::Tree::NodeI object within the tree, optional
Before running this method you should have ran fitch_up (alias to ps ). Note that it is not guarantied that all states are completely
resolved.
persistence
Example : persistence($tree, $node);
Description: Calculates the persistence
for node in the subtree defined by the (internal)
node. Node defaults to the root.
Returns : int, number of generations trait value has to remain same
Exceptions : all the nodes need to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. Bio::Tree::NodeI object within the tree, optional
Persistence is a measure of the stability the trait value has in a tree. It expresses the number of generations the trait value remains the
same. All the decendants of the root in the same generation have to share the same value.
Depends on Fitch's parsimony score (PS).
count_subclusters
Example : count_clusters($tree, $node);
Description: Calculates the number of sub-clusters
in the subtree defined by the (internal)
node. Node defaults to the root.
Returns : int, count
Exceptions : all the nodes need to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. Bio::Tree::NodeI object within the tree, optional
Depends on Fitch's parsimony score (PS).
count_leaves
Example : count_leaves($tree, $node);
Description: Calculates the number of leaves with same trait
value as root in the subtree defined by the (internal)
node. Requires an unbroken line of identical trait values.
Node defaults to the root.
Returns : int, number of leaves with this trait value
Exceptions : all the nodes need to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. Bio::Tree::NodeI object within the tree, optional
Depends on Fitch's parsimony score (PS).
phylotype_length
Example : phylotype_length($tree, $node);
Description: Sums up the branch lengths within phylotype
exluding the subclusters where the trait values
are different
Returns : float, length
Exceptions : all the nodes need to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. Bio::Tree::NodeI object within the tree, optional
Depends on Fitch's parsimony score (PS).
sum_of_leaf_distances
Example : sum_of_leaf_distances($tree, $node);
Description: Sums up the branch lengths from root to leaf
exluding the subclusters where the trait values
are different
Returns : float, length
Exceptions : all the nodes need to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. Bio::Tree::NodeI object within the tree, optional
Depends on Fitch's parsimony score (PS).
genetic_diversity
Example : genetic_diversity($tree, $node);
Description: Diversity is the sum of root to leaf distances
within the phylotype normalised by number of leaf
nodes
Returns : float, value of genetic diversity
Exceptions : all the nodes need to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. Bio::Tree::NodeI object within the tree, optional
Depends on Fitch's parsimony score (PS).
statratio
Example : statratio($tree, $node);
Description: Ratio of the stem length and the genetic diversity of the
phylotype L<genetic_diversity>
Returns : float, separation score
Exceptions : all the nodes need to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. Bio::Tree::NodeI object within the tree, optional
TStatratio gives a measure of separation and variability within the phylotype. Larger values identify more rapidly evolving and recent
phylotypes.
Depends on Fitch's parsimony score (PS).
ai
Example : ai($tree, $key, $node);
Description: Calculates the Association Index (AI) of Whang et
al. 2001 for the subtree defined by the (internal)
node. Node defaults to the root.
Returns : real
Exceptions : leaf nodes have to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. trait name string
3. Bio::Tree::NodeI object within the tree, optional
Association index (AI) gives a more fine grained results than PS since
the result is a real number. ~0 E<lt>= AI.
Wang, T.H., Donaldson, Y.K., Brettle, R.P., Bell, J.E., Simmonds, P.,
2001. IdentiieXXcation of shared populations of human immunodeieXXciency
Virus Type 1 infecting microglia and tissue macrophages outside the
central nervous system. J. Virol. 75(23), 11686-11699.
mc
Example : mc($tree, $key, $node);
Description: Calculates the Monophyletic Clade (MC) size statistics
for the subtree a defined by the (internal) node.
Node defaults to the root;
Returns : hashref with trait values as keys
Exceptions : leaf nodes have to have the trait defined
Args : 1. Bio::Tree::TreeI object
2. trait name string
3. Bio::Tree::NodeI object within the tree, optional
Monophyletic Clade (MC) size statistics by Salemi at al 2005. It is
calculated for each trait value. 1 E<lt>= MC E<lt>= nx, where nx is the
number of tips with value x:
pick the internal node with maximim value for
number of of tips with only trait x
MC was defined by Parker et al 2008.
Salemi, M., Lamers, S.L., Yu, S., de Oliveira, T., Fitch, W.M., McGrath, M.S.,
2005. Phylodynamic analysis of Human ImmunodeieXXciency Virus Type 1 in
distinct brain compartments provides a model for the neuropathogenesis of
AIDS. J. Virol. 79(17), 11343-11352.
Parker, J., Rambaut A., Pybus O., 2008. Correlating viral phenotypes
with phylogeny: Accounting for phylogenetic uncertainty Infection,
Genetics and Evolution 8(2008), 239-246.
perl v5.14.2 2012-03-02 Bio::Tree::Statistics(3pm)