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相关概念视频

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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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: Jun 30, 2025

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
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Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

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在单细胞RNA和ATAC数据中对多omics集成算法的基准测试.

Chuxi Xiao1, Yixin Chen1, Qiuchen Meng1

  • 1MOE Key Laboratory of Bioinformatics and Bioinformatics Division, BNRIST, Department of Automation, Tsinghua University, Beijing 100084, China.

Briefings in bioinformatics
|March 17, 2024
PubMed
概括

这项研究对12种单细胞RNA (scRNA) 和ATAC测序数据的多omics集成工具进行了基准测试. 结果引导用户选择最好的计算方法来分析复杂的蜂数据和监管网络.

关键词:
基准测试 (benchmarking) 是一种比较的方法.整合 整合 整合 整合多种主题的多种主题.一个单细胞的单细胞.

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ATAC-Seq Optimization for Cancer Epigenetics Research
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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

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相关实验视频

Last Updated: Jun 30, 2025

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
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科学领域:

  • 计算生物学 计算生物学
  • 基因组学就是基因组学.
  • 分子生物学分子生物学

背景情况:

  • 单细胞测序技术产生了大量的奥米克数据,改变了细胞研究.
  • 对单细胞RNA测序 (scRNA-seq) 和单细胞转移酶可访问染色体测序 (scATAC-seq) 数据的联合分析对于理解细胞异质性和调节网络至关重要.
  • 针对多omics集成的计算工具的快速增长需要系统的基准测试.

研究的目的:

  • 为联合scRNA-seq和scATAC-seq数据分析进行12种多omics集成方法的基准测试.
  • 根据六个关键方面评估方法,这些方面与多主题数据分析有关.
  • 为特定研究场景选择合适的整合工具提供实际指导方针.

主要方法:

  • 对12种用于多omics集成的计算工具进行基准测试.
  • 使用了三个不同的集成任务.
  • 使用定性可视化和定量指标进行评估.
  • 考虑了多主题数据分析的六个关键方面.

主要成果:

  • 不同的多学科整合方法在不同的分析方面表现出不同的优势.
  • 一些方法在多个评估标准中显示出优异的性能.
  • 性能因具体的集成任务和数据特征而有所不同.

结论:

  • 没有任何一种方法能够在多学科整合的各个方面都脱而出.
  • 选择方法应根据具体的研究目标和数据类型进行量身定制.
  • 提供了指导方针,以帮助研究人员选择最佳工具,以获得有意义的多学科数据洞察力.