Liang Liming, Zöllner Sebastian, Abecasis Gonçalo R
Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
Bioinformatics. 2007 Jun 15;23(12):1565-7. doi: 10.1093/bioinformatics/btm138. Epub 2007 Apr 25.
GENOME proposes a rapid coalescent-based approach to simulate whole genome data. In addition to features of standard coalescent simulators, the program allows for recombination rates to vary along the genome and for flexible population histories. Within small regions, we have evaluated samples simulated by GENOME to verify that GENOME provides the expected LD patterns and frequency spectra. The program can be used to study the sampling properties of any statistic for a whole genome study.
The program and C++ source code are available online at http://www.sph.umich.edu/csg/liang/genome/
GENOME提出了一种基于快速合并的方法来模拟全基因组数据。除了标准合并模拟器的功能外,该程序还允许重组率沿基因组变化以及灵活的种群历史。在小区域内,我们评估了由GENOME模拟的样本,以验证GENOME提供了预期的连锁不平衡模式和频率谱。该程序可用于研究全基因组研究中任何统计量的抽样特性。
该程序和C++源代码可在http://www.sph.umich.edu/csg/liang/genome/在线获取。