Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Université Joseph Fourier, BP 53, 38041 Grenoble, France.
Nat Rev Genet. 2012 Jan 10;13(2):110-22. doi: 10.1038/nrg3130.
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.
计算机模拟是理解复杂过程的进化和遗传后果的极好工具,这些过程的相互作用无法通过分析预测。模拟传统上是由具有编程专业知识的相当小的群体在群体遗传学中使用的,但最近出现了数十个复杂的、可定制的模拟软件包,使得模拟成为许多领域研究人员的可行选择。模拟产生的计算机遗传数据,以及人群基因组数据的更大可用性,正在改变遗传流行病学、人类学、进化和群体遗传学以及保护。在本综述中,我们介绍了模拟软件的应用,评估了模拟器的能力,提供了使用指南,并总结了未来的发展方向。