Tahmasbi Rasool, Keller Matthew C
Institute for Behavioral Genetics (IBG).
Department of Psychology and Neuroscience, University of Colorado, Boulder, CO 80309, USA.
Bioinformatics. 2017 Jan 15;33(2):294-296. doi: 10.1093/bioinformatics/btw606. Epub 2016 Sep 21.
Computer simulations are excellent tools for understanding the evolutionary and genetic consequences of complex processes that cannot be analytically predicted and for creating realistic genetic data. There are many software packages that simulate genetic data, but they are typically not fast or memory efficient enough to simulate realistic, individual-level genome-wide SNP/sequence data.
GeneEvolve is a user-friendly and efficient population genetics simulator that handles complex evolutionary and life history scenarios and generates individual-level phenotypes and realistic whole-genome sequence or SNP data. GeneEvolve runs forward-in-time, which allows it to provide a wide range of scenarios for mating systems, selection, population size and structure, migration, recombination and environmental effects. The software is designed to use as input data from real or previously simulated phased haplotypes, allowing it to mimic very closely the properties of real genomic data.
GeneEvolve is freely available at https://github.com/rtahmasbi/GeneEvolve CONTACT: Rasool.Tahmasbi@Colorado.eduSupplementary information: Supplementary data are available at Bioinformatics online.
计算机模拟是理解复杂过程的进化和遗传后果的优秀工具,这些复杂过程无法通过分析进行预测,同时也是创建逼真遗传数据的优秀工具。有许多软件包可以模拟遗传数据,但它们通常不够快或内存效率不足以模拟逼真的个体水平全基因组SNP/序列数据。
GeneEvolve是一个用户友好且高效的群体遗传学模拟器,它能处理复杂的进化和生活史场景,并生成个体水平的表型以及逼真的全基因组序列或SNP数据。GeneEvolve进行正向时间模拟,这使其能够为交配系统、选择、种群大小和结构、迁移、重组和环境影响提供广泛的场景。该软件被设计为使用来自真实或先前模拟的分阶段单倍型的输入数据,从而使其能够非常紧密地模拟真实基因组数据的特性。
GeneEvolve可在https://github.com/rtahmasbi/GeneEvolve上免费获取。联系方式:Rasool.Tahmasbi@Colorado.edu。补充信息:补充数据可在《生物信息学》在线获取。