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相关概念视频

RNA-seq03:21

RNA-seq

11.7K
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...
11.7K
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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相关实验视频

Updated: Jan 11, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
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Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

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从基板到字节:RNA测序数据分析的实用指南.

Prabin Dawadi1, Bivek Pokharel1, Anita Shrestha1

  • 1Department of Biology, University of Mississippi, Oxford, MS, United States.

Frontiers in genetics
|November 12, 2025
PubMed
概括

对于分子生物学家来说,RNA测序 (RNA-Seq) 分析至关重要,但需要计算技能. 本指南帮助初学者选择正确的工具和统计方法,以进行自信和严格的RNA-Seq数据分析.

关键词:
新手指南的指南.这就是 DESeq2eq2 的意思.在RNA-Seqq.生物信息学是一种生物信息学.基因表达分析 基因表达分析

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Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs
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Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
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相关实验视频

Last Updated: Jan 11, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
05:07

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

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Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs
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Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs

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Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
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科学领域:

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

背景情况:

  • RNA测序 (RNA-Seq) 是用于转录组量化的标准高通量方法.
  • 分子生物学研究人员越来越需要分析RNA-Seq数据.
  • RNA-Seq分析需要计算和统计专业知识,这对初学者来说是一个挑战.

研究的目的:

  • 为分子生物学家提供面向决策的指南,这些分子生物学家对RNA-Seq分析是新手.
  • 帮助研究人员根据他们的具体数据,目标和约束来选择合适的工具和统计方法.
  • 为初学者提供严格和自信的RNA-Seq数据分析知识.

主要方法:

  • 审查现有的RNA-Seq分析手册和资源.
  • 识别初学者面临的共同挑战和知识差距.
  • 制定一个结构化的决策框架,用于工具和方法的选择.

主要成果:

  • 现有的资源往往是分散的,专业的或表面的.
  • 显然需要一本指南来解释其中的基本原则.
  • 建议的指南有助于在RNA-Seq分析中做出明智的选择.

结论:

  • 对于有效的RNA-Seq数据分析,初学者友好的指导是必不可少的.
  • 了解原则与工具选择一起,可以提高分析的严谨性.
  • 本综述旨在弥合分子生物学中的实验工作和计算分析之间的差距.