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相关概念视频

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...
10.0K

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相关实验视频

Updated: Jul 6, 2025

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2
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Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

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多样样单细胞RNA-seq数据的差异检测工作流程.

Jeroen Gilis1,2,3,4, Laura Perin1,5, Milan Malfait2

  • 1These authors contributed equally.

bioRxiv : the preprint server for biology
|January 8, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了单细胞转录组的差异检测 (DD) 分析,补充了传统的差异基因表达 (DE) 分析. DD识别了具有改变检测率的基因,为基因调节和细胞功能提供了新的见解.

科学领域:

  • 单细胞转录组学 单细胞转录组学
  • 计算生物学是一种计算生物学.
  • 基因组学就是基因组学.

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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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相关实验视频

Last Updated: Jul 6, 2025

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Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

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背景情况:

  • 差异基因表达 (DE) 分析是单细胞转录学中的标准,重点关注平均表达差异.
  • 单细胞数据还有可能识别具有改变表达分布的基因,而不仅仅是平均值.

结论:

  • 差异检测分析是单细胞转录组学的一个有价值的补充.
  • 结合DE和DD可以更全面地了解基因表达模式.
  • 这种方法改善了单细胞数据的功能解释.