Biology Program, University of Alaska Southeast, 11120 Glacier Highway, Juneau, AK 99801, USA, Division of Biological Sciences, DBS/HS 104, University of Montana, 32 Campus Drive, Missoula, MT 59812, USA, School of Animal and Microbial Sciences, University of Reading, Whiteknights, Reading RG6 6AJ, UK.
Mol Ecol Resour. 2008 Mar;8(2):299-301. doi: 10.1111/j.1471-8286.2007.01997.x.
The estimation of effective population size from one sample of genotypes has been problematic because most estimators have been proven imprecise or biased. We developed a web-based program, onesamp that uses approximate Bayesian computation to estimate effective population size from a sample of microsatellite genotypes. onesamp requires an input file of sampled individuals' microsatellite genotypes along with information about several sampling and biological parameters. onesamp provides an estimate of effective population size, along with 95% credible limits. We illustrate the use of onesamp with an example data set from a re-introduced population of ibex Capra ibex.
从一个样本基因型估计有效种群大小一直存在问题，因为大多数估计器已被证明不够精确或存在偏差。我们开发了一个基于网络的程序，onesamp，它使用近似贝叶斯计算从微卫星基因型的样本中估计有效种群大小。onesamp 需要一个输入文件，其中包含抽样个体的微卫星基因型以及有关几个抽样和生物学参数的信息。onesamp 提供了有效种群大小的估计值，以及 95%的可信区间。我们使用来自重新引入的野山羊 Capra ibex 种群的示例数据集来说明 onesamp 的使用。
