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

Proteomics01:33

Proteomics

7.3K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.3K
Ribosome Profiling02:24

Ribosome Profiling

3.5K
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...
3.5K
Cluster Sampling Method01:20

Cluster Sampling Method

11.8K
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...
11.8K
DNA Microarrays02:34

DNA Microarrays

17.3K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
17.3K
Genomics02:02

Genomics

36.2K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.2K

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

Spatially defined microenvironmental niches are associated with clinical outcome and tumor ecosystem diversity in head and neck cancer.

Med (New York, N.Y.)·2026
Same author

Comparative efficacy of postoperative adjuvant chemoradiotherapy versus no chemoradiotherapy in the treatment of pancreatic adenocarcinoma.

BMC cancer·2026
Same author

Mechanism of electrothermal acupuncture in alleviating postherpetic neuralgia.

Frontiers in neurology·2026
Same author

Copper and cuproptosis: mechanisms, biology, and roles in disease.

Science bulletin·2026
Same author

Rapid slide-level assessment of glomerular yield using virtual staining of unstained renal biopsy sections.

Diagnostic pathology·2026
Same author

Association between 24-h activity patterns and inhibitory control in community-dwelling older adults: a cross-sectional study based on chronic disease status.

Frontiers in public health·2026
Same journal

A scalable high-throughput serolomics platform for profiling serum antibody responses in large-scale population-based cohorts.

Nature protocols·2026
Same journal

iMUT-seq mapping of DSB-induced mutations with high sensitivity at single-nucleotide resolution.

Nature protocols·2026
Same journal

An assay to quantify sexual commitment and stage conversion in the human malaria parasite Plasmodium falciparum.

Nature protocols·2026
Same journal

Author Correction: Direct inoculation of bioreactor-controlled stirred suspension culture with cryopreserved human pluripotent stem cells.

Nature protocols·2026
Same journal

High-throughput measurements of protein domain functions using magnetic separation.

Nature protocols·2026
Same journal

Inducing physiological polarity and performing gene editing using CRISPR-Cas9 in human trophoblast organoids.

Nature protocols·2026
查看所有相关文章

相关实验视频

Updated: Jun 20, 2025

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

3.5K

使用clusterProfiler来描述多组数据的特征.

Shuangbin Xu1,2, Erqiang Hu1, Yantong Cai1,3

  • 1Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.

Nature protocols
|July 17, 2024
PubMed
概括
此摘要是机器生成的。

clusterProfiler 软件可对多体数据进行多维丰富分析,有助于发现疾病机制. 它集成了各种生物数据库,并为基因组变异提供先进的可视化.

更多相关视频

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.2K
Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS

Published on: March 14, 2013

12.7K

相关实验视频

Last Updated: Jun 20, 2025

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
05:22

Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress

Published on: July 29, 2022

3.5K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.2K
Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
07:34

Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS

Published on: March 14, 2013

12.7K

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:

  • 多基因组数据分析需要复杂的工具来丰富基因组.
  • 了解生物过程和疾病途径对于确定治疗点至关重要.

研究的目的:

  • 展示clusterProfiler作为一个用于多维丰富分析的多功能软件.
  • 展示clusterProfiler的创新应用,以整合多种omics数据和生物背景.

主要方法:

  • 使用clusterProfiler进行过度代表性和基因组丰富分析.
  • 整合基因本体学 (GO) 和基因和基因组的京都百科全书 (KEGG) 数据库.
  • 将clusterProfiler应用于代谢学,转基因组学,转录因子识别和单细胞RNA测序数据.

主要成果:

  • clusterProfiler有效地使用多个生物数据库进行丰富分析.
  • 该软件支持各种可视化选项,以提高结果的可解释性.
  • 计算步骤迅速完成,通常在2分钟内完成.

结论:

  • clusterProfiler是一个强大而高效的工具,用于多组数据分析和生物解释.
  • 它在处理各种数据集和生物知识方面的灵活性使其对研究具有无价价值.
  • 该软件有助于阐明复杂的生物机制和潜在的治疗策略.