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相关概念视频

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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相关实验视频

Updated: Jul 12, 2025

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
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验证一个算法的重新实现,以集成转录组和ChIP-seq数据.

Mahmoud Ahmed1, Deok Ryong Kim1

  • 1Department of Biochemistry and Convergence Medical Sciences and Institute of Medical Sciences, College of Medicine, Gyeongsang National University, Jinju, South Korea.

PeerJ
|October 25, 2023
PubMed
概括
此摘要是机器生成的。

这项研究成功地在R中重新实现了绑定和表达目标分析 (BETA) 算法,复制了原始发现. BETA的R版本准确地预测了转录因子对基因表达的调节,并且对参数选择具有强大性.

关键词:
具有竞争性的约束力.合作 - 具有约束力的合作结合 DNA 的结合.在R-Package中使用.可重现的研究.转录因子转录因子

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科学领域:

  • 计算生物学 计算生物学
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 转录因子通过与特定的DNA区域结合来调节基因表达.
  • 预测转录因子结合的功能影响需要整合结合和基因表达数据.
  • 绑定和表达目标分析 (BETA) 算法以前在Python中为此目的开发.

研究的目的:

  • 在R编程语言中重新实现BETA算法.
  • 为了验证BETA的R实现的准确性和稳定性.
  • 用现有的数据集和不同的输入参数来评估BETA的性能.

主要方法:

  • 基于转录因子结合部位与转录起始部位的近距离,利用衰变函数建模了基于转录因子结合部位的调节潜力.
  • 结合了来自扰乱转录因子活动的实验的差异性基因表达统计数据.
  • 结合监管潜力和表达效应,使用排名产品来确定关键的监管目标.

主要成果:

  • 在相同的数据集上使用新的R实现成功复制了原始BETA发现.
  • 证明了R实施的结果受到输入变化的适当影响.
  • 证实了BETA方法对不同统计测试截止值的稳定性.

结论:

  • BETA的R重新实施准确地预测了转录因子介导的基因表达调节.
  • 通过利用现有的R数据结构和工具,R版本为下游分析提供了优势.
  • 在Python和R中,BETA算法是分析转录因子函数的可靠方法.