Computer simulations: tools for population and evolutionary genetics

被引:192
作者
Hoban, Sean [1 ,2 ]
Bertorelle, Giorgio [2 ]
Gaggiotti, Oscar E. [1 ]
机构
[1] Univ Grenoble 1, Lab Ecol Alpine, UMR CNRS 5553, F-38041 Grenoble, France
[2] Univ Ferrara, Dipartimento Biol & Evoluz, I-44100 Ferrara, Italy
关键词
APPROXIMATE BAYESIAN COMPUTATION; MIGRATION RATES; COALESCENT; DIVERSITY; MODELS; PROGRAM; ALLELE; TIME; VIABILITY; GENOMES;
D O I
10.1038/nrg3130
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Computer simulations are excellent tools for understanding the evolutionary and genetic consequences of complex processes whose interactions cannot be analytically predicted. Simulations have traditionally been used in population genetics by a fairly small community with programming expertise, but the recent availability of dozens of sophisticated, customizable software packages for simulation now makes simulation an accessible option for researchers in many fields. The in silico genetic data produced by simulations, along with greater availability of population-genomics data, are transforming genetic epidemiology, anthropology, evolutionary and population genetics and conservation. In this Review of the state-of-the-art of simulation software, we identify applications of simulations, evaluate simulator capabilities, provide a guide for their use and summarize future directions.
引用
收藏
页码:110 / 122
页数:13
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