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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...
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相关实验视频

Updated: Jan 11, 2026

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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ScRDAVis:一个R闪亮的应用程序,用于单细胞转录组数据分析和可视化.

Sankarasubramanian Jagadesan1, Chittibabu Guda1,2

  • 1Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.

PLoS computational biology
|November 13, 2025
PubMed
概括
此摘要是机器生成的。

ScRDAVis是一个新的R Shiny应用程序,简化了单细胞RNA测序 (scRNA-seq) 数据分析的生物学家. 这种用户友好的工具提供了高级功能,不需要编程知识,民主化了scRNA-seq数据探索.

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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

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Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
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Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
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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.
  • 计算生物学 计算生物学

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 提供了对细胞异质性的深入洞察.
  • 数据处理的复杂性和编程要求给使用scRNA-seq数据的生物学家带来了障碍.

研究的目的:

  • 开发一个可访问,交互,基于浏览器的R Shiny应用程序,用于scRNA-seq数据分析.
  • 授权没有编程专业知识的生物学家进行全面的scRNA-seq分析.

主要方法:

  • 开发了ScrDAVis,这是一个R Shiny应用程序,集成Seurat,CellChat,Monocle3,clusterProfiler和hdWGCNA.
  • 实现了用户友好的界面,用于单样,多样和基于组的分析.
  • 包括用于标记物发现,细胞类型注释,子集群,细胞-细胞通信,轨迹推断,途径丰富,WGCNA和TF监管网络分析的功能.

主要成果:

  • ScRDAVis提供了一个基于GUI的平台,用于scRNA-seq分析,包括新的hdWGCNA集成.
  • 该应用程序支持高级功能研究和准备发布的可视化.
  • 为进一步研究提供各种格式的数据下载选项.

结论:

  • ScRDAVis通过提供直观的图形用户界面来使scRNA-seq数据分析民主化.
  • 使研究人员能够从复杂的scRNA-seq数据集中提取有意义的生物学见解.
  • 便于进行高级分析,如同表达和TF监管网络分析,无需编码.