NAME
Bio::Community::Alpha - Calculate the alpha diversity of a community
SYNOPSIS
use Bio::Community::Alpha;
my $alpha = Bio::Community::Alpha->new( -community => $community,
-type => 'observed' );
my $richness = $alpha->get_alpha;
DESCRIPTION
The Bio::Community::Alpha module calculates the alpha diversity within a community. The goal is to support many different alpha diversity metrics, but the only metric available at the moment is: richness.
For all these metrics, a higher value means that the community is more diverse.
AUTHOR
Florent Angly florent.angly@gmail.com
SUPPORT AND BUGS
User feedback is an integral part of the evolution of this and other Bioperl modules. 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.
If you have found a bug, please report it on the BioPerl bug tracking system to help us keep track the bugs and their resolution: https://redmine.open-bio.org/projects/bioperl/
COPYRIGHT
Copyright 2011,2012,2013 by the BioPerl Team bioperl-l@bioperl.org
This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself, either Perl version 5.10.1 or, at your option, any later version of Perl 5 you may have available.
APPENDIX
The rest of the documentation details each of the object methods. Internal methods are usually preceded with a _
new
Function: Create a new Bio::Community::Alpha object
Usage : my $alpha = Bio::Community::Alpha->new( ... );
Args : -community : See community().
-type : See type().
Returns : a new Bio::Community::Alpha object
community
Function: Get or set the community to process.
Usage : my $community = $alpha->community();
Args : A Bio::Community object
Returns : A Bio::Community object
type
Function: Get or set the type of alpha diversity metric to measure.
Usage : my $type = $alpha->type;
Args : String for the desired type of alpha diversity ('observed' by default).
Richness (or estimated number of species):
* observed : C<S>
* menhinick: C<S/sqrt(n)>, where C<n> is the total counts (observations).
* margalef : C<(S-1)/ln(n)>
* chao1 : Bias-corrected chao1 richness, C<S+n1*(n1-1)/(2*(n2+1))>
where C<n1> and C<n2> are the number of singletons and
doubletons, respectively. Particularly useful for data
skewed toward the low-abundance species, e.g. microbial.
Based on counts, not relative abundance.
* ace : Abundance-based Coverage Estimator (ACE). Based on
counts, not relative abundance.
Evenness (or equitability):
* buzas : Buzas & Gibson's (or Sheldon's) evenness, C<e^H/S>.
Ranges from 0 to 1.
* heip : Heip's evenness, C<(e^H-1)/(S-1)>. Ranges from 0 to 1.
* shannon_e : Shannon's evenness, or the Shannon-Wiener index
divided by the maximum diversity possible in the
community. Ranges from 0 to 1.
* simpson_e : Simpson's evenness, or the Simpson's Index of Diversity
divided by the maximum diversity possible in the
community. Ranges from 0 to 1.
* brillouin_e: Brillouin's evenness, or the Brillouin's index divided
by the maximum diversity possible in the community.
Ranges from 0 to 1.
* hill_e : Hill's C<E_2,1> evenness, i.e. Simpson's Reciprocal
index divided by C<e^H>.
* mcintosh_e : McIntosh's evenness.
* camargo : Camargo's eveness. Ranges from 0 to 1.
Indices (accounting for species abundance):
* shannon : Shannon-Wiener index C<H>. Emphasizes richness. Ranges
from 0 to infinity.
* simpson : Simpson's Index of Diversity C<1-D>, where C<D> is
Simpson's dominance index. C<1-D> is the probability
that two individuals taken randomly are not from the
same species. Emphasizes evenness. Ranges from 0 to 1.
* simpson_r: Simpson's Reciprocal Index C<1/D>. Ranges from 1 to
infinity.
* brillouin: Brillouin's index, appropriate for small, completely
censused communities. Based on counts, not relative
abundance.
* hill : Hill's C<N_inf> index, the inverse of the Berger-Parker
dominance. Ranges from 1 to infinity.
* mcintosh : McIntosh's index. Based on counts, not relative abundance.
Dominance (B<not> diversity metrics since the higher their value, the
lower the diversity):
* simpson_d: Simpson's Dominance Index C<D>. Ranges from 0 to 1.
* berger : Berger-Parker dominance, i.e. the proportion of the most
abundant species. Ranges from 0 to 1.
Returns : String for the desired type of alpha diversity.
get_alpha
Function: Calculate the alpha diversity of a community.
Usage : my $metric = $alpha->get_alpha;
Args : None
Returns : A number for the alpha diversity measurement