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相关概念视频

RNA-seq03:21

RNA-seq

9.8K
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...
9.8K
MicroRNAs01:22

MicroRNAs

21.2K
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
21.2K
RNA Structure01:19

RNA Structure

4.7K
The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
4.7K

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相关实验视频

Updated: Jun 9, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

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多关联超图表征学习用于预测circRNA-miRNA关联.

Wenjing Yin1, Shudong Wang1, Yuanyuan Zhang2

  • 1College of Computer Science and Technology, China University of Petroleum, Qingdao, Shandong 266580, China.

Journal of chemical information and modeling
|October 21, 2024
PubMed
概括

这项研究引入了一种新的计算模型,即多关系超图表示学习 (MRHRL),用于预测循环RNA (circRNA) 和微RNA (miRNA) 相互作用. 通过捕捉复杂的RNA关系,MRHRL提高了预测准确度.

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Identification of Circular RNAs using RNA Sequencing

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相关实验视频

Last Updated: Jun 9, 2025

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

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mirMachine: A One-Stop Shop for Plant miRNA Annotation
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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:

  • 循环RNAs (circRNAs) 通过海绵式微RNAs (miRNAs) 调节基因表达.
  • 预测circRNA-miRNA关联 (CMAs) 的计算模型加速实验验证.
  • 现有的模型很难在CMA中表示高阶关系,从而限制了预测能力.

研究的目的:

  • 开发一个先进的计算模型来预测circRNA-miRNA关联 (CMA).
  • 通过结合高阶关系来提高CMA预测模型的预测效率.

主要方法:

  • 提出了一种新的多关联超图表达式学习 (MRHRL) 模型.
  • 利用超图来捕捉复杂的,RNA之间的更高阶关系.
  • 采用视图注意力机制来聚合补充信息.
  • 集成了一个超边缘级别的重建任务,用于联合优化.

主要成果:

  • 在circRNA-miRNA相互作用中,MRHRL有效地捕获了更高阶的关系.
  • 该模型展示了增强的预测和概括能力.
  • 在三个现实数据集上的实验表明,MRHRL显著优于现有的CMA预测模型.

结论:

  • MRHRL为预测circRNA-miRNA关联提供了一种强大的新方法.
  • 模型能够表示更高阶关系是其性能改善的关键.
  • 这项工作在基于RNA的基因调节研究中推进了计算方法.