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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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相关实验视频

Updated: Jul 12, 2025

Isolation of Adult Spinal Cord Nuclei for Massively Parallel Single-nucleus RNA Sequencing
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细胞蛇:用于单细胞RNA测序分析的一个用户友好的工具.

Sinan U Umu1, Karoline Rapp Vander-Elst2, Victoria T Karlsen2

  • 1Department of Pathology, Institute of Clinical Medicine, University of Oslo, Oslo 0372, Norway.

GigaScience
|October 27, 2023
PubMed
概括

细胞蛇是一种新的,用户友好的工作流程,用于单细胞RNA测序 (scRNA-seq) 数据分析. 它简化了复杂的计算任务,使得scRNA-seq分析对研究人员更容易获得.

关键词:
在RNA-seqqq.塞拉特·塞拉特是什么意思微生物组是一个微生物组.我们的 scRNARNA一个单细胞的单细胞.做蛇做蛇的人工作流的工作流.

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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) 为细胞异质性提供了高分辨率的转录组洞察力.
  • 现有的scRNA-seq分析管道给非专业用户带来了挑战,包括安装困难和的学习曲线.
  • 需要为scRNA-seq数据分析提供可访问,用户友好的计算工具.

研究的目的:

  • 为单细胞RNA测序数据分析开发一个全面,可复制和可访问的工作流程.
  • 为标准用户提供高级功能,并促进R和Python的下游分析.
  • 为了能够轻松地集成到现有的工作流程中,以便快速,多样本分析.

主要方法:

  • 开发 cellsnake,一个开源的单细胞数据分析工作流.
  • 为R和Python环境实现功能.
  • 设计以无集成到现有的计算管道.

主要成果:

  • 细胞蛇为scRNA-seq数据分析中的常见问题提供了全面的解决方案.
  • 工作流支持高级功能,并促进下游分析.
  • 细胞蛇可以快速分析多个样本,并集成到现有管道中.

结论:

  • 细胞蛇是研究人员的一个可访问,成本效益和用户友好的工具.
  • 这个工作流简化了scRNA-seq数据分析,增强了对单细胞生物学的洞察力.
  • 通过Bioconda,PyPi,Docker和GitHub的开源可用性促进了广泛采用.