Coalescent theory provides a powerful modeling tool for population genetics. It is based on a genealogical interpretation of the history of gene lineages in populations. Although classical population genetics theory considers the evolution of gene lineages forward in time, coalescent theory considers the genealogical history of a sample of genes, looking backward in time. In the absence of selection (i.e., if all genetic variants are selectively neutral), then the mutation process can be decoupled from the genealogical process. Therefore, selectively neutral mutations can then be superimposed on the genealogical history. This package is intended to provide a pedagogical tool to teach the basics of coalescent theory. It enables to simulate gene genealogies in an isolated population of constant effective size, or in a population that changed in size some generations in the past. Gene genealogies can be constructed using a continuous time approximation, or a generation-by-generation algorithm.Graphical outputs show the consequence of population size changes on the shape of genealogies. Mutations can then be added on the gene genealogies, and summary statistics (e.g., heterozygosity, number of alleles) can be computed from gene histories.
|Author||Renaud Vitalis <email@example.com>.|
|Date of publication||2014-11-04 20:27:04|
|Maintainer||Renaud Vitalis <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on R-Forge|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.