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Updated: Jan 15, 2026

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin
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机器学习允许使用k-Mer频率进行无对齐距离计算和植物遗传定位

Eleonora Rachtman1, Yueyu Jiang1, Siavash Mirarab1

  • 1Department of Electrical and Computer Engineering, UC San Diego, San Diego, California, USA.

Molecular ecology resources
|October 13, 2025
PubMed
概括

我们介绍了kf2vec,这是一种使用k-mer频率和深度学习进行长DNA序列的遗传学定位的新方法. 这种方法通过避免序列对齐来简化分析,并准确地识别新基因组样本的分类学标签.

关键词:
无组件和无对齐的距离计算深度学习是一种深度学习.基因组距离的基因组距离基于 k-mer 的距离计算.转基因组学是指转基因组学.遗传学上的定位.

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