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相关概念视频

RNA-seq03:21

RNA-seq

9.7K
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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RNA Structure01:23

RNA Structure

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Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. 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): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
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相关实验视频

Updated: May 10, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
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贝格尔2.0:一种用于RNA二级结构的Web服务器,利用相似性检测,利用SHAPE指导的RNA结构确定.

F Ballesio1, A Teofani1, C Carrino1

  • 1Department of Biology, University of Rome "Tor Vergata", Rome, Italy.

Journal of molecular biology
|April 23, 2025
PubMed
概括

BEAGLE 2.0 是一个调整RNA二次结构的Web服务器,可以在多种生物数据集中搜索结构相似性. 该工具有助于发现RNA同质性,并了解它们在生物过程中的作用.

关键词:
检测RNA同质性的检测RNA同质性的检测配对RNA二级结构的调整搜索RNA结构相似性的搜索在icSHAPE数据集成中,数据集成非编码RNAs (ncRNAs) 是一种非编码RNA.

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A Protocol for Computer-Based Protein Structure and Function Prediction
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The ITS2 Database
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The ITS2 Database

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相关实验视频

Last Updated: May 10, 2025

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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
  • 分子生物学分子生物学

背景情况:

  • RNA二次结构在生物和病理过程中起着关键作用.
  • 结构保护是识别单独通过序列分析遗漏的同质性的关键.
  • 精确预测和对RNA二次结构的比较是必不可少的.

研究的目的:

  • 介绍BEAGLE 2.0,一个增强的Web服务器,用于搜索RNA二级结构相似性.
  • 促进用户提供的RNA分子和广泛的生物数据集之间的比较.
  • 利用实验支持的数据来识别RNA中的结构相似性.

主要方法:

  • 使用BEAGLE算法与BEAR编码,通过动态编程对对 RNA 二级结构进行对齐.
  • 纳入各种数据集,包括SHAPE衍生结构 (人类,老鼠,斑马鱼,细菌,像SARS-CoV-2这样的病毒),NONCODE预测和基于Rfam的结构.
  • 接受用户输入作为RNA序列或二次结构 (点括号或BEAR格式).

主要成果:

  • 贝格尔2.0提供了与结构相似度和统计学意义的对齐.
  • 以颜色编码元素提供RNA二次结构的视觉表示.
  • 在大型,精心策划的RNA结构数据集中实现高效的搜索.

结论:

  • 贝格尔2.0显著扩大了RNA二次结构比较的能力.
  • 使用多样化,经过实验验证的数据集,方便发现功能性RNA相似性.
  • 为研究RNA功能和进化研究的研究人员提供了宝贵的资源.