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相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

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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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Improving Translational Accuracy02:07

Improving Translational Accuracy

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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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 1, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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Rare Event Detection Using Error-corrected DNA and RNA Sequencing

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鱼:增强的概率建模导致长读转录组量化改进了长读转录组量化的精度.

Zahra Zare Jousheghani1, Rob Patro2

  • 1Department of Electrical and Computer Engineering, University of Maryland, College Park, 20742, Maryland, USA.

bioRxiv : the preprint server for biology
|March 11, 2024
PubMed
概括

Oarfish是一个用于长读转录量化的新工具. 它通过使用新的覆盖率得分来提高准确性,优于现有的异形分析方法.

科学领域:

  • 基因组学就是基因组学.
  • 文字转录学 (Transcriptomics) 是一个学科.
  • 生物信息学是一种生物信息学.

背景情况:

  • 长读序列对转录学至关重要,使得全长异型分析成为可能.
  • 目前的方法主要集中在转录识别上,忽视了量化挑战.
  • 长读量化面临的障碍是由于技术,较低的吞吐量和技术工件.

研究的目的:

  • 介绍Oarfish,这是一个用于长读转录量化的新方法.
  • 解决在长读转录数据中准确量化需求.
  • 使用长读数增强全长异构体的分析.

主要方法:

  • 开发了Oarfish,这是一个用于长读转录量化的软件工具.
  • 将一个新的覆盖率得分纳入概率模型.
  • 根据现有的量化方法评估鱼.

主要成果:

  • Oarfish提供了更准确的转录量化估计.
  • 新的覆盖率得分显著提高了估计准确度.
  • 鱼在细胞系和组织中量化初级异构体方面表现出色.

结论:

关键词:
牛津的纳米孔这就是PacBio.在RNA-seqqq.长时间阅读阅读.记录成绩单量化的量化

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  • Oarfish提供了一种更精确的方法来量化长读转录.
  • 该方法的创新覆盖分数增强了异形分析.
  • Oarfish作为开源软件可供研究界使用.