一种适用于受选择和人口统计学影响群体的灵活正向模拟器。
A flexible forward simulator for populations subject to selection and demography.
作者信息
Hernandez Ryan D
机构信息
Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14850, USA.
出版信息
Bioinformatics. 2008 Dec 1;24(23):2786-7. doi: 10.1093/bioinformatics/btn522. Epub 2008 Oct 7.
UNLABELLED
This article introduces a new forward population genetic simulation program that can efficiently generate samples from populations with complex demographic histories under various models of natural selection. The program (SFS_CODE) is highly flexible, allowing the user to simulate realistic genomic regions with several loci evolving according to a variety of mutation models (from simple to context-dependent), and allows for insertions and deletions. Each locus can be annotated as either coding or non-coding, sex-linked or autosomal, selected or neutral, and have an arbitrary linkage structure (from completely linked to independent).
AVAILABILITY
The source code (written in the C programming language) is available at http://sfscode.sourceforge.net, and a web server (http://cbsuapps.tc.cornell.edu/sfscode.aspx) allows the user to perform simulations using the high-performance computing cluster hosted by the Cornell University Computational Biology Service Unit.
未标注
本文介绍了一种新的正向群体遗传模拟程序，该程序能够在各种自然选择模型下，从具有复杂人口统计学历史的群体中高效生成样本。该程序（SFS_CODE）具有高度灵活性，允许用户根据多种突变模型（从简单到上下文依赖）模拟具有多个位点的现实基因组区域，并允许插入和缺失。每个位点可以被注释为编码或非编码、性连锁或常染色体、选择或中性，并且具有任意的连锁结构（从完全连锁到独立）。
可用性
源代码（用C编程语言编写）可在http://sfscode.sourceforge.net获取，并且一个网络服务器（http://cbsuapps.tc.cornell.edu/sfscode.aspx）允许用户使用康奈尔大学计算生物学服务单元托管的高性能计算集群进行模拟。
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