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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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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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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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scExplorer:用于单细胞RNA测序数据分析的全面Web服务器.

Sergio Hernández-Galaz1,2,3, Andrés Hernández-Olivera2, Felipe Villanelo4

  • 1Laboratorio de Redes Biológicas, Fundación Ciencia and Vida, Huechuraba, Santiago, 8580702, Chile.

Bioinformatics advances
|November 21, 2025
PubMed
概括

scExplorer是一个网络平台,简化了非程序员的单细胞RNA测序 (scRNA-seq) 分析. 它提供先进的批次校正,可扩展的任务管理,以及复杂数据集的可重复报告.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 分析需要专门的计算技能,这对许多研究人员来说是一个障碍.
  • 整合多个scRNA-seq数据集,管理大规模计算,并确保工作流的可重复性是重大挑战.

研究的目的:

  • 开发一个用户友好的,基于Web的平台,scExplorer,以克服scRNA-seq数据分析中的计算障碍.
  • 为研究人员提供工具,特别是那些没有编程专业知识的研究人员,以进行全面和可复制的scRNA-seq分析.

主要方法:

  • 使用四个算法实现了全面的批量校正:ComBat,Scanorama,BBKNN和Harmony.
  • 基于SLURM的集成工作安排,具有暂停/恢复功能,用于高效的大规模分析.
  • 开发了可导出配置文件的发布准备报告的自动生成,以实现完全可重复性.

主要成果:

  • scExplorer成功地集成了多个最先进的批次校正算法.
  • 该平台支持可扩展的任务管理,用于高达数十万个单元的数据集.
  • 自动报告和配置文件出口确保了透明度和可重复性.

结论:

  • scExplorer通过消除非计算研究人员的技术障碍,使scRNA-seq分析民主化.
  • 该平台通过为复杂的数据分析提供透明,可重复和可访问的工具来增强协作研究.