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在Silico中,使用eSkip-Finder预测和选择外显子跳过的反意义寡核酸序列

Shuntaro Chiba1, Yasushi Okuno2,3

  • 1RIKEN Center for Computational Science, RIKEN, Yokohama, Japan.

Methods in molecular biology (Clifton, N.J.)
|July 28, 2025
PubMed
概括

研究人员开发了eSkip-Finder,这是一个网页工具,用于预测对子跳转的反感性寡核酸 (ASO) 疗效. 这种方法简化了基因治疗的ASO设计,减少了实验工作.

关键词:
反意义的寡核化物.在Exon跳过的情况下,Exon跳过.机器学习 机器学习连接器切换 连接器切换

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