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Cosi2: an efficient simulator of exact and approximate coalescent with selection
Author(s) -
Ilya Shlyakhter,
Pardis C. Sabeti,
S. F. Schaffner
Publication year - 2014
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btu562
Subject(s) - coalescent theory , computer science , selection (genetic algorithm) , population , markov chain , markov process , algorithm , biology , mathematics , genetics , statistics , artificial intelligence , machine learning , demography , sociology , gene , phylogenetic tree
Efficient simulation of population genetic samples under a given demographic model is a prerequisite for many analyses. Coalescent theory provides an efficient framework for such simulations, but simulating longer regions and higher recombination rates remains challenging. Simulators based on a Markovian approximation to the coalescent scale well, but do not support simulation of selection. Gene conversion is not supported by any published coalescent simulators that support selection.

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