da Silva A R, Malafaia G, Menezes I P P
Laboratório de Estatística Aplicada, Instituto Federal Goiano, Urutaí, GO, Brasil
Laboratório de Pesquisas Biológicas, Instituto Federal Goiano, Urutaí, GO, Brasil.
Genet Mol Res. 2017 Apr 13;16(2):gmr-16-02-gmr.16029655. doi: 10.4238/gmr16029655.
The gene diversity or expected heterozygosity (H) is based on the allele frequency and is often used as a measure of genetic variability of populations. Knowing the pattern of spatial distribution of H can be useful for determining strategies of conservation and sampling of collections of individuals. In addition, it can allow one to detect genetic boundaries in a landscape. We adapted a Wombling method based on assignment tests in a circular moving window extensively sampled over the study area in order to estimate H at points of a prediction grid. The function sHe(), package biotools, is an easy-to-use and flexible implementation in R language that accepts as input geographical and genotyping data. The package biotools is distribution-free under the GPL-2/3 license and currently available from the Comprehensive R Archive Network (CRAN) at . The R platform and all R dependencies are similarly available from CRAN.
基因多样性或期望杂合度（H）基于等位基因频率，常被用作衡量种群遗传变异性的指标。了解H的空间分布模式有助于确定个体集合的保护和采样策略。此外，它还能使人检测景观中的遗传边界。我们采用了一种基于赋值检验的Wombling方法，该方法在研究区域内广泛采样的圆形移动窗口中进行，以便估计预测网格各点的H。函数sHe()（生物工具包）是R语言中一种易于使用且灵活的实现方式，它接受地理和基因分型数据作为输入。生物工具包在GPL - 2/3许可下无特定分布要求，目前可从综合R存档网络（CRAN）获取。R平台和所有R依赖项同样可从CRAN获取。
