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Genome-Based Population Clustering: Nuggets of Truth Buried in a Pile of Numbers?

机译:基于基因组的人口聚类:一堆数字埋藏着真相吗?

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National/Ethnic population Mutation databases (NEMDBs) are online mutation depositories recording extensive information about the described genetic heterogeneity in populations and ethnic groups worldwide. FINDbase is a database containing causative mutations and pharmacogenomic markers allele frequencies in various populations and ethnic groups. In this paper, we experiment with designing and applying new automated data mining techniques on the original FINDbase causative mutations data collection in an attempt to identify genomic relationships between populations. Furthermore, we have developed an interactive web-based visualization tool that enables users to correlate the information, determine the relationships and gain insight into the underlying data collection in a novel and meaningful way.
机译:国家/种族人口突变数据库(NEMDB)是在线突变库,记录了有关全世界人口和族裔中所述遗传异质性的大量信息。 FINDbase是一个数据库,其中包含各种人群和族裔中的致病性突变和药物基因组学标记等位基因频率。在本文中,我们尝试在原始FINDbase因果突变数据收集上设计并应用新的自动数据挖掘技术,以尝试确定种群之间的基因组关系。此外,我们已经开发了一种基于Web的交互式可视化工具,使用户能够以新颖且有意义的方式关联信息,确定关系并深入了解基础数据收集。

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