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相关概念视频

RNA-seq03:21

RNA-seq

10.1K
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...
10.1K
Ribosome Profiling02:24

Ribosome Profiling

3.6K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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相关实验视频

Updated: Jul 20, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

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通过补充模拟方法对RNA结构多态的计算机辅助全面探索.

Konstantin Röder1, Guillaume Stirnemann2, Pietro Faccioli3

  • 1Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, UK.

QRB discovery
|August 2, 2023
PubMed
概括
此摘要是机器生成的。

计算方法有助于解开RNA结构多态性. 先进的采样方案和粗粒度模型提供了互补的见解,改善了对非编码RNA结构的理解,并指导了实验.

关键词:
粗粒度RNA模型的模型在RNA折叠过程中.能源景观 能源景观增强的采样模拟.路径采样模拟的模拟.

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Analyzing and Building Nucleic Acid Structures with 3DNA
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Analyzing and Building Nucleic Acid Structures with 3DNA

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RNA Secondary Structure Prediction Using High-throughput SHAPE
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RNA Secondary Structure Prediction Using High-throughput SHAPE

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相关实验视频

Last Updated: Jul 20, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

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Analyzing and Building Nucleic Acid Structures with 3DNA
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Analyzing and Building Nucleic Acid Structures with 3DNA

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RNA Secondary Structure Prediction Using High-throughput SHAPE
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RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

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科学领域:

  • 生物化学 生物化学
  • 计算生物学 计算生物学
  • 结构生物学 结构生物学

背景情况:

  • 由于结构多态性,RNA折叠是一个复杂的挑战.
  • 非编码RNA分子通常采用多个竞争性结构.
  • 单靠实验方法不足以充分理解RNA的复杂性.

研究的目的:

  • 讨论RNA结构分析的先进计算采样方案.
  • 突出研究RNA多态化的互补方法.
  • 展示计算方法如何指导实验性RNA研究.

主要方法:

  • 哈密尔顿-复制品交换分子动力学 (MD)
  • 拉切和马MD MD 在线
  • 离散路径采样 离散路径采样
  • 在HiRE-RNA粗粒化方案中,

主要成果:

  • 先进的采样方案和粗粒度分析提供了对RNA结构的补充见解.
  • 这些计算方法提高了对实验结果的理解.
  • 多种模拟方法改善了对RNA多态性的研究.

结论:

  • 计算方法对于理解复杂的RNA结构至关重要.
  • 模拟技术的组合提供了对RNA多态性的更全面的了解.
  • 这些方法可以有效地告知和指导RNA生物学中的未来实验研究.