对转录因子优先级的基准测试工具
Leonor Schubert Santana1, Alejandro Reyes1, Sebastian Hoersch1
1Novartis Biomedical Research, Basel, Switzerland.
Computational and structural biotechnology journal
|May 31, 2024
概括
识别转录因子 (TFs) 驱动基因表达对于药物发现至关重要. 这项研究使用染色体分析数据评估了TF预测工具,提名了三个领先者:RcisTarget,MEIRLOP和monaLisa.
科学领域:
- 基因组学和分子生物学
- 表观遗传学和基因调节
- 计算生物学和生物信息学
背景情况:
- 基因表达是通过转录因子 (TF) 与调节元素结合的空间时间调节.
- 基因组乙化 (H3K27ac) 标志着活跃的调节区域,可通过ChIP-seq.检测.
- 对于TF与DNA序列结合的预测工具已经存在,但它们在现实场景中的性能需要评估.
研究的目的:
- 评估现有的TF预测工具的性能.
- 识别TF的驱动基因表达程序,以识别潜在的药物标.
- 根据染色体分析数据提名优质的TF优先级工具.
主要方法:
- 策划了84个H3K27ac ChIP-seq实验与TF扰动 (淘汰赛/过度表达).
- 在这些数据集中应用了9个已发布的TF预测工具.
- 评估工具在识别扰乱的TF时的性能.
主要成果:
- 提名了RcisTarget,MEIRLOP和monaLisa作为领先的TF优先级工具.
- 在评估的工具中确定了共同点和改进领域.
- 证明了现实世界染色体分析数据对工具基准测试的有用性.
结论:
- 在基因调节研究中,RcisTarget,MEIRLOP和monaLisa显示了TF优先级的前景.
- 该研究为开发改进的TF绑定预测工具提供了见解.
- 准确的TF识别对于了解疾病机制和开发向治疗至关重要.
关键词:
ATAC-seqq 的使用情况.一个基准的基准.在 ChIP-seqq.染色是一种染色素.H3K27ac 在线阅读动机丰富方式在PWM中使用PWM.监管地区是监管区域.转录因子是一种转录因子.更多相关视频
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