SVLearn:使

Qimeng Yang1, Jianfeng Sun2, Xinyu Wang1

  • 1Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.

Nature communications
|March 12, 2025
PubMed
概括

机器学习工具SVLearn准确地在重复的基因组区域中确定结构变异 (SV) 的基因型. 这种方法改善了疾病关联研究,使得高质量的SV基因型识别能够实现,即使跨物种的测序覆盖率很低.

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