Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA.
Mol Ecol Resour. 2011 May;11(3):557-61. doi: 10.1111/j.1755-0998.2010.02964.x. Epub 2010 Dec 28.
The first step of many population genetic studies is the simple visualization of allele frequencies on a landscape. This basic data exploration can be challenging without proprietary software, and the manual plotting of data is cumbersome and unfeasible at large sample sizes. I present an open source, web-based program that plots any kind of frequency or count data as pie charts in Google Maps (Google Inc., Mountain View, CA). Pie polygons are then exportable to Google Earth (Google Inc.), a free Geographic Information Systems platform. Import of genetic data into Google Earth allows phylogeographers access to a wealth of spatial information layers integral to forming hypotheses and understanding patterns in the data.
许多群体遗传学研究的第一步是简单地在图谱上可视化等位基因频率。如果没有专用软件,这种基本的数据探索可能具有挑战性,而且对于大样本量,手动绘制数据既繁琐又不可行。我提出了一个开源的基于网络的程序,可以在 Google Maps(Google Inc.,山景城,加利福尼亚州)上以饼图形式绘制任何类型的频率或计数数据。然后,可以将饼图多边形导出到 Google Earth(Google Inc.),这是一个免费的地理信息系统平台。将遗传数据导入 Google Earth 使系统发育地理学家可以访问形成假设和理解数据模式所必需的大量空间信息层。