Search research articles

关于 JoVE

概览领导团队博客 JoVE 帮助中心

作者

出版流程编辑委员会范围与政策同行评审常见问题投稿

图书馆员

用户评价订阅访问资源图书馆顾问委员会常见问题

研究

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

RNA-seq

RNA-seq

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...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序

Same author

Mycoelectronics: Bioprinted living fungal bioelectronics for artificial sensation.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

CSIE: cancer subtyping via inference and ensemble.

Briefings in bioinformatics·2026

Same author

Evaluating patients' trust in health information based on different dimensions of trust.

Scientific reports·2026

Same author

Wastewater intelligence predicts the emergence of clinically-relevant and drug-resistant Candidozyma auris at healthcare facilities.

Nature communications·2026

Same author

Familiarity with and Attitudes Towards Chatbots: Findings from a Three-Wave National Surveys of U.S. Adults Before and After ChatGPT.

Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences·2026

Same author

Cell type annotation using large language models (LLMs) and CytoAnalyst.

Bioinformatics advances·2026

Search research articles

相关实验视频

Updated: Sep 12, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

赛托分析器 (CytoAnalyst) 网络平台提供了全面的单细胞RNA测序分析.

Phi Bya¹, Duy Tran¹, Khoi Nguyen¹

¹Department of Computer Science and Software Engineering, Auburn University, Auburn, 36849, AL, USA.

Scientific reports

|August 6, 2025

概括

赛托分析器 (CytoAnalyst) 是一个简化单细胞数据分析的网络平台. 它提供定制管道,并行分析和高级可视化,用于强大的协作研究.

关键词:

人工智能引导的单元格注释.细胞类型的注释.集群分析分析集群分析嵌入式分析嵌入式分析交互式可视化交互式可视化一个单细胞分析.

更多相关视频

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

相关实验视频

Last Updated: Sep 12, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

科学领域:

计算生物学计算生物学
生物信息学是一种生物信息学.
数据科学数据科学数据科学

背景情况:

单细胞技术为细胞异质性和动态提供了高分辨率的洞察力.
分析大型单细胞数据集是复杂的,需要广泛的协作和定制管道.
现有的工具往往缺乏全面分析所需的灵活性和整合性.

研究的目的:

推出CytoAnalyst,一个基于Web的平台,旨在简化单细胞数据分析.
为定制管道配置,并行分析和数据可视化提供灵活,用户友好的解决方案.
为了促进合作,提高分析大规模单细胞数据集的效率.

主要方法:

开发一个基于网络的平台,配备研究管理系统和多种分析模块.
实现并行分析实例用于方法和参数比较.
集成了一个先进的共享系统,用于实时同步和跨设备分析的延续.
网格布局可视化系统的设计,支持同时显示数据方面和可定制的情节混合.

主要成果:

CytoAnalyst 可实现自定义管道配置,并支持并行分析以进行方法比较.
该平台促进实时协作和跨设备的无分析延续.
先进的可视化工具允许对多个数据方面进行并排比较,并进行情节混合.
该平台提供高分析严谨性,具有用户友好的界面和全面的文档.

结论:

通过提供灵活和协作平台,CytoAnalyst解决了单细胞数据分析的挑战.
集成的工具提高分析严谨性和效率,研究人员工作与大型单细胞数据集.
CytoAnalyst是免费的,支持所有主要的Web浏览器,促进更广泛的可访问性.