Lambert Brian W, Terwilliger Joseph D, Weiss Kenneth M
Department of Anthropology, Penn State University, University Park, PA, USA.
Bioinformatics. 2008 Aug 15;24(16):1821-2. doi: 10.1093/bioinformatics/btn317. Epub 2008 Jun 19.
Many important problems in biology involve complex traits affected by multiple coding or regulatory parts of the genome. How well the underlying genetic architecture can be inferred by statistical methods such as mapping and association studies are active research areas. ForSim is a flexible forward evolutionary simulation tool for exploring the consequences of evolution by phenotype, whereby demographic, chance, behavioral and selective effects mold genetic architecture. Simulation is useful for exploring these issues as well as the choice of study design inferential methods.
Supplementary data are available at Bioinformatics online.
生物学中的许多重要问题涉及受基因组多个编码或调控部分影响的复杂性状。通过诸如定位和关联研究等统计方法能在多大程度上推断出潜在的遗传结构是活跃的研究领域。ForSim是一种灵活的正向进化模拟工具,用于通过表型探索进化的后果,其中人口统计学、偶然性、行为和选择效应塑造了遗传结构。模拟对于探索这些问题以及研究设计推断方法的选择很有用。
补充数据可在《生物信息学》在线获取。