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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
Sanger Sequencing01:57

Sanger Sequencing

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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...
755.1K

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相关实验视频

Updated: Jul 26, 2025

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
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grandR:用于核酸转换RNA-seq数据分析的综合包.

Teresa Rummel1, Lygeri Sakellaridi1, Florian Erhard2,3

  • 1Institute for Virology and Immunobiology, University of Würzburg, Versbacher Str. 7, 97078, Würzburg, Germany.

Nature communications
|June 15, 2023
PubMed
概括
此摘要是机器生成的。

这项研究介绍了 grandR,这是一个分析代谢RNA标记数据的软件包. 它提供了用于质量控制,差异基因表达和动态建模的工具,以了解基因表达动态.

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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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相关实验视频

Last Updated: Jul 26, 2025

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance
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科学领域:

  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.
  • 系统生物学 系统生物学

背景情况:

  • 对RNA的代谢标记对于研究基因表达动态至关重要.
  • 核酸转换方法产生了有价值的数据,但也带来了分析挑战.

研究的目的:

  • 为了介绍 grandR,一个全面的R包用于分析代谢RNA标记数据.
  • 改进从时间过程实验中对RNA合成速率和半衰期的分析.
  • 引入贝叶斯的方法来研究RNA时间动力学.

主要方法:

  • 开发用于数据分析的 grandR R 软件包.
  • 对现有推断RNA合成速率和半衰期的方法进行比较.
  • 对时间RNA动态分析的贝叶斯框架的实施.

主要成果:

  • grandR提供了用于质量控制,差异基因表达,动态建模和可视化的工具.
  • 为了准确的分析,需要重新校准有效的标签时间.
  • 贝叶斯的方法使得可以对RNA时间动态进行有力的研究.

结论:

  • grandR提供了一种统一的解决方案,用于分析代谢RNA标记数据.
  • 准确的分析需要重新校准标签时间和高级建模.
  • 该包方便对基因表达调节有更深入的了解.