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相关概念视频

RNA-seq03:21

RNA-seq

10.4K
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 Splicing01:32

RNA Splicing

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Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
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Alternative RNA Splicing02:18

Alternative RNA Splicing

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Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...
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Pre-mRNA Processing: RNA Splicing01:36

Pre-mRNA Processing: RNA Splicing

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Next-generation Sequencing03:00

Next-generation Sequencing

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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....
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相关实验视频

Updated: Sep 13, 2025

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

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选择差分拼接方法:对短读RNA测序的实际考虑

Ben J Draper1, Mark J Dunning2, David C James1

  • 1Department of Chemical and Biological Engineering, Mappin St., The University of Sheffield, Sheffield, S1 3JD, UK.

F1000Research
|July 31, 2025
PubMed
概括
此摘要是机器生成的。

本综述考察了生物信息学工具,用于分析从RNA测序数据的替代拼接. 它强调了挑战,并为研究人员推了DEXSeq和rMATS等工具,考虑到数据输入和分析需求.

关键词:
替代拼接是一种替代拼接.生物信息学是一种生物信息学.不同表达式的差异表达式在RNASeq中使用.文字转录学 (Transcriptomics) 是一个学科.

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Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
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相关实验视频

Last Updated: Sep 13, 2025

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Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
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科学领域:

  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.
  • 分子生物学分子生物学

背景情况:

  • 替代拼接是基因调节的一个关键机制,具有重要的临床和生物技术相关性.
  • 研究差异拼接需要专门的生物信息学工具来分析RNA测序 (RNA-seq) 数据.

研究的目的:

  • 对差异拼接的短读RNA序列分析进行生物信息学工具的审查和分类.
  • 检查这些工具的统计方法,应用和好处.
  • 根据研究需求,为选择合适的工具提供指导.

主要方法:

  • 对22种用于差异拼接分析的生物信息学工具进行全面的审查.
  • 基于统计方法 (参数,非参数,概率) 和分析级别 (转录,外型,事件) 的工具分类.
  • 通过基准研究评估工具性能,并考虑引用频率和维护.

主要成果:

  • 在用于替代拼接量化的拼接部位识别和异型解卷方面存在重大挑战.
  • 基准测试研究显示,在不同的数据集和场景中,工具性能存在相当大的变化,没有普遍的共识.
  • 经常引用和积极维护DEXSeq和rMATS等工具,使它们成为推的选择.

结论:

  • 为替代拼接分析选择合适的生物信息学工具至关重要,并且取决于数据输入和所需的分析水平.
  • 一个拟议的指南图表有助于研究人员在工具选择.
  • 新兴的长期阅读的RNA测序技术提供了互补的方法,有可能简化异构体解卷并推动进一步的创新.