BackgroundPositive selection is a driving force that has shaped the modern human. Recent developments in high throughput technologies and corresponding statistics tools have made it possible to conduct whole genome surveys at a population scale, and a variety of measurements, such as heterozygosity (HET), FST, and Tajima's D, have been applied to multiple datasets to identify signals of positive selection. However, great effort has been required to combine various types of data from individual sources, and incompatibility among datasets has been a common problem. SNP@Evolution, a new database which integrates multiple datasets, will greatly assist future work in this area.
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机译：背景积极的选择是塑造现代人类的动力。高通量技术和相应的统计工具的最新发展使得在人口规模上进行全基因组调查成为可能，并且诸如杂合性（HET），FST和Tajima D的各种测量已应用于多个数据集，确定积极选择的信号。然而，需要大量的努力来组合来自各个来源的各种类型的数据，并且数据集之间的不兼容性一直是一个普遍的问题。 SNP @ Evolution是一个集成了多个数据集的新数据库，将极大地帮助该领域的未来工作。
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