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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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Updated: Sep 16, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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SeuratExtend:通过一个集成和直观的框架来简化单细胞RNA-seq分析.

Yichao Hua1,2, Linqian Weng3, Fang Zhao2,4

  • 1Department of Applied Computational Cancer Research, Institute for AI in Medicine (IKIM), University Hospital Essen, Essen 45131, Germany.

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|July 8, 2025
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概括
此摘要是机器生成的。

通过将各种工具和数据库集成到Seurat框架内,SeuratExtend简化了单细胞RNA测序 (scRNA-seq) 分析. 这个R包增强了复杂基因组研究的数据可视化和可访问性.

关键词:
在R包中,R包是R包.赛拉特框架 赛拉特框架生物信息学是一种生物信息学.教育教育教育教育的教育.多工具集成的整合.路径分析 路径分析一个单细胞RNA-seqq.视觉化的可视化

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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) 生成复杂的细胞异质性数据.
  • 分析工具的扩散给研究人员带来了挑战.
  • 为scRNA-seq数据分析需要一个统一和可访问的平台.

研究的目的:

  • 介绍SeuratExtend,一个旨在简化scRNA-seq数据分析的R包.
  • 将基本的分析工具和数据库集成到一个用户友好的界面中.
  • 为了提高复杂的基因组分析的数据可视化和可访问性.

主要方法:

  • 开发SeuratExtend,这是一个基于Seurat框架构建的R包.
  • 功能丰富,轨迹推断和基因调控网络重建工具的整合.
  • 通过R接口将基因本体学和Reactome等数据库和Python工具 (scVelo,Palantir,SCENIC) 纳入数据库.

主要成果:

  • SeuratExtend为各种scRNA-seq分析提供了一个统一的R接口.
  • 在与瘤相关的高内皮静脉和自身炎症性疾病的案例研究中证明有用.
  • 增强数据可视化,优化绘图功能和精心策划的颜色方案.

结论:

  • SeuratExtend使研究人员能够更有效地进行复杂的scRNA-seq分析.
  • 该软件包使先进的生物信息学工具能够向更广泛的受众提供.
  • 在GitHub上免费使用,SeuratExtend是单细胞基因组学社区的宝贵资源.