Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
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 JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

11.6K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.6K
Vesicular Tubular Clusters01:45

Vesicular Tubular Clusters

2.4K
After budding out from the ER membrane, some COPII vesicles lose their coat and fuse with one another to form larger vesicles and interconnected tubules called vesicular tubular clusters or VTCs. These clusters constitute a compartment at the ER-Golgi interface known as ERGIC (Endoplasmic Reticulum Golgi Intermediate Compartment). The ERGIC is a mobile membrane-bound cargo transport system that sorts proteins secreted from ER and delivers them to the Golgi.
With the help of motor proteins such...
2.4K
RNA-seq03:21

RNA-seq

9.8K
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...
9.8K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.8K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
18.8K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K

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

Characterization of the immune landscape in healthy mouse prostate and during prostate cancer progression.

Oncoimmunology·2025
Same author

SciGeneX: enhancing transcriptional analysis through gene module detection in single-cell and spatial transcriptomics data.

NAR genomics and bioinformatics·2025
Same author

mimicINT: A workflow for microbe-host protein interaction inference.

F1000Research·2025
Same author

Type III interferons induce pyroptosis in gut epithelial cells and impair mucosal repair.

Cell·2024
Same author

Lymphotoxin limits Foxp3<sup>+</sup> regulatory T cell development from Foxp3<sup>lo</sup> precursors via IL-4 signaling.

Nature communications·2024
Same author

Characterizing intergenic transcription at RNA polymerase II binding sites in normal and cancer tissues.

Cell genomics·2023
Same journal

Exploring potential strategies to enhance memory and cognition in aging mice.

F1000Research·2026
Same journal

Construction an Implicit Block Multi-Steps Approach for Solving Sixth-Order Fractional Differential Equations.

F1000Research·2026
Same journal

Kansei Engineering in the Evolving Service Sector: A Decade of Insights.

F1000Research·2026
Same journal

A Safety-First Mindset:  Role of Patient Safety Culture in Enhancing Healthcare Workers' Emotional Intelligence.

F1000Research·2026
Same journal

Decoding Decisions: Personality-Interest Motivational Sequences as Predictors of Career Paths.

F1000Research·2026
Same journal

Beyond the Transparent Barrier: A Domain Visualization and Integrative Review of Contemporary Research on Gender-Based Professional Stasis.

F1000Research·2026
查看所有相关文章

相关实验视频

Updated: Jun 8, 2025

Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry
11:14

Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry

Published on: October 2, 2016

11.5K

Clust&See3.0:聚类,模块探索和注释

Fabrice Lopez1, Lionel Spinelli1,2, Christine Brun1,3

  • 1TAGC (UMR1090), Aix-Marseille Université, INSERM, Turing Centre for Living Systems, Marseille, 13009, France.

F1000Research
|November 4, 2024
PubMed
概括
此摘要是机器生成的。

Clust&See3.0增强了Cytoscape用于分析大型生物网络的功能. 该工具有助于识别,可视化和注释网络集群和模块,这对于多omics数据解释至关重要.

关键词:
集群注释 集群注释集群集成是指集群集成.功能模块是一个功能模块.图形分区是指图形的分区互动网络互动网络.统计的丰富. 统计的丰富.视觉化的可视化

更多相关视频

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.4K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.3K

相关实验视频

Last Updated: Jun 8, 2025

Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry
11:14

Rapid High-throughput Species Identification of Botanical Material Using Direct Analysis in Real Time High Resolution Mass Spectrometry

Published on: October 2, 2016

11.5K
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.4K
An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.3K

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
  • 系统生物学 系统生物学

背景情况:

  • Cytoscape 是一个广泛使用的开源平台,用于网络可视化和分析.
  • 分析大型生物网络,如蛋白质-蛋白质相互作用网络,在整体解释方面提出了重大挑战.

研究的目的:

  • 介绍 Clust&See3.0,这是一个高级的 Cytoscape 应用程序,旨在进行全面的网络集群和模块分析.
  • 在生物网络中提供自定义节点注释和统计丰富分析的增强功能.

主要方法:

  • 开发Clust&See3.0作为Cytoscape应用程序的新版本.
  • 集成用于识别,可视化和操纵网络集群和模块的功能.
  • 实现自定义节点注释和统计丰富计算能力.

主要成果:

  • Clust&See3.0提供了丰富的功能,用于详细的网络集群分析.
  • 该应用程序有助于更深入地了解生物模块组成,特别是随着越来越多的多omics数据.
  • 一个用例展示了这些功能的实际价值.

结论:

  • Clust&See3.0提供了一个全面的工具包,用于网络集群分析.
  • 该应用程序支持从识别和可视化到注释和统计分析的整个工作流程.
  • 它的特性对于解释复杂的生物网络和多omics数据集是有价值的.