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

Classification of Illness01:17

Classification of Illness

8.0K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.0K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

14.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
14.4K
Genomics02:02

Genomics

37.5K
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...
37.5K

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

Selecting medical research data platforms for translational biomedical research: a five-tier overview and requirement-weighted assessment framework.

Frontiers in digital health·2026
Same author

Filling the mechanistic and methodological gaps for predicting cytokine release syndrome in humans.

Frontiers in pharmacology·2026
Same author

momapy: a Python library to work with molecular maps.

Bioinformatics (Oxford, England)·2026
Same author

Standardized workflow enables reproducibility of drug synergism detection: Results from a multi-center in vitro ring test on complex drug combinations in pancreatic cancer models.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie·2026
Same author

Human organoids: Fit for drug discovery?

Stem cell reports·2026
Same author

Experimental and machine learning-based exploration of repurposed drugs reveals chemical features underlying phospholipidosis.

Patterns (New York, N.Y.)·2026

相关实验视频

Updated: Sep 17, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.8K

KGG:一个完全自动化的工作流程,用于创建疾病特定的知识图.

Reagon Karki1,2, Yojana Gadiya1,2,3, Andrea Zaliani1,2

  • 1Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP), Hamburg, 22525, Germany.

Bioinformatics (Oxford, England)
|June 28, 2025
PubMed
概括

本研究介绍了知识图生成器 (KGG),这是一个用于构建生命科学知识图的自动化工作流程. KGG加速建立全面的生物和化学实体网络,帮助疾病研究和药物发现.

更多相关视频

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

592
A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

17.8K

相关实验视频

Last Updated: Sep 17, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.8K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

592
A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

17.8K

科学领域:

  • 系统生物学 系统生物学
  • 生物信息学是一种生物信息学.
  • 计算生物学是一种计算生物学.

背景情况:

  • 知识图 (KGs) 对系统生物学至关重要,它使用标准化本体学来表示复杂的生物学和病理生理学数据.
  • 手工KG建设是劳动密集型和耗时的,而现有的自动化方法缺乏准确性.
  • 在生命科学中需要高效可靠的自动化KG生成.

研究的目的:

  • 开发一个自动化工作流来构建生命科学知识图.
  • 代表疾病和医疗条件的化学型和表型数据.
  • 为了促进复杂的科学查询和下游分析.

主要方法:

  • 开发了一个自动化工作流程的知识图表生成器 (KGG).
  • 来自策划数据库 (OpenTargets,Uniprot,ChEMBL等) 的综合数据 ) 的情况.
  • 采用了一个类似于时钟机制的数据集成模式.

主要成果:

  • 产生了疾病相关实体 (蛋白质,途径,化学物质等) 的全面KG. ) 的情况.
  • 确定了用于共患病分析的共享实体,并将KG与外部来源进行了比较.
  • 在帕金森病中证明了用于目标识别和药物重定向的用例.

结论:

  • 在生命科学领域,KGG提供了一种自动化和高效的KG构造方法.
  • 生成的KG支持各种应用,包括并发症分析和药物发现.
  • 工作流允许探索药物相似性和蛋白质结构识别.