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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...
9.7K
Ribosome Profiling02:24

Ribosome Profiling

3.4K
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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Next-generation Sequencing03:00

Next-generation Sequencing

86.3K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
86.3K
Sanger Sequencing01:57

Sanger Sequencing

751.5K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
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相关实验视频

Updated: May 17, 2025

Identification of Circular RNAs using RNA Sequencing
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Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

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循环RNA的发现与新兴的测序和深度学习技术.

Jinyang Zhang1, Fangqing Zhao2,3,4

  • 1Institute of Zoology, Chinese Academy of Sciences, Beijing, China. zhangjinyang@ioz.ac.cn.

Nature genetics
|April 17, 2025
PubMed
概括

循环RNAs (circRNAs) 是一种新的RNA分子,在基因调节和疾病中起着至关重要的作用. 先进的测序和人工智能算法正在改善其生物医学应用的检测和功能分析.

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Quantification of Circular RNAs Using Digital Droplet PCR
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相关实验视频

Last Updated: May 17, 2025

Identification of Circular RNAs using RNA Sequencing
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Identification of Circular RNAs using RNA Sequencing

Published on: November 14, 2019

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Quantification of Circular RNAs Using Digital Droplet PCR
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Quantification of Circular RNAs Using Digital Droplet PCR

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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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科学领域:

  • 分子生物学分子生物学
  • 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:

  • 循环RNAs (circRNAs) 是一种具有独特闭环结构的非编码RNA分子.
  • circRNAs在基因调节中起着重要作用,并与各种疾病有关.
  • 在circRNA研究中的挑战包括低表达水平和与线性RNA的高序列相似性.

研究的目的:

  • 审查最近在circRNA发现,表征和功能分析算法的进展.
  • 要突出长读和单细胞RNA测序对circRNA研究的影响.
  • 讨论大型circRNA测序数据的整合以及人工智能的未来作用.

主要方法:

  • 关于circRNA检测和分析的最新文献的审查.
  • 讨论RNA测序 (长读,单细胞) 的技术进步.
  • 探索深度学习和人工智能驱动的算法,用于circRNA研究.

主要成果:

  • 最近的技术和算法突破使得高分辨率的circRNA调查成为可能.
  • 复杂的算法对于克服circRNA检测和表征方面的挑战至关重要.
  • 人工智能驱动的方法对推进circRNA研究充满希望.

结论:

  • 测序和人工智能的进步正在彻底改变circRNA研究.
  • 应对数据整合挑战是未来进步的关键.
  • 人工智能具有显著的潜力,可以解锁circRNA在生物医学中的作用.