评估基于NGS的计算方法,用查询基因组来预测转录调节器.
bioRxiv : the preprint server for biology
|April 2, 2024
概括
本综述评估了使用下一代测序 (NGS) 数据预测转录调节器 (TRs) 的计算方法. 巴特,Chip-Atlas和丽莎在从基因组中识别TRs方面表现出卓越的表现.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 准确识别转录调节器 (TRs) 对于理解生物发育,疾病机制和治疗目标预测至关重要.
- 许多利用下一代测序 (NGS) 数据的计算方法存在,但缺乏系统的评估.
结论:
- 确定了当前基于NGS的TR预测工具的局限性.
- 突出了计算型TR识别方法未来改进的潜在领域.
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