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

Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
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
Methods of Classification and Identification01:28

Methods of Classification and Identification

Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
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
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

13.1K
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...
13.1K

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

[Analysis of syndromic surveillance of 63 325 outpatients in Fever Clinic in Beijing].

Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences·2011
Same author

Computing the Inner Distances of Volumetric Models for Articulated Shape Description with a Visibility Graph.

IEEE transactions on pattern analysis and machine intelligence·2011
Same author

Sterically stable liposomes improve the therapeutic effect of hepatic stimulator substance on fulminant hepatic failure in rats.

Biochemical pharmacology·2011
Same author

[Neuropeptide Y promotes the proliferation and differentiation of 3T3-L1 preadipocytes].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology·2011
Same author

A novel EIF2AK3 mutation leading to Wolcott-Rallison syndrome in a Chinese child.

Journal of pediatric endocrinology & metabolism : JPEM·2011
Same author

MicroRNA-372 is down-regulated and targets cyclin-dependent kinase 2 (CDK2) and cyclin A1 in human cervical cancer, which may contribute to tumorigenesis.

The Journal of biological chemistry·2011

相关实验视频

Updated: Jun 10, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

3.9K

基于机器学习的基因组序列分析在病原体识别中的应用.

Yunqiu Gao1,2, Min Liu1,3

  • 1Department of Dermatology, The First Hospital of China Medical University, Shenyang, China.

Frontiers in microbiology
|October 17, 2024
PubMed
概括

人工智能 (AI) 与拉曼光谱学相结合,可以快速准确地识别致病微生物. 这项突破性的技术仅在5分钟内就能达到95.64%的准确性,提高了传染病诊断和药物发现的速度.

关键词:
抗生素耐药性 抗生素耐药性人工智能 (AI) 是一种人工智能.诊断 诊断 诊断 诊断 诊断 诊断机器学习 (ML) 是指机器学习.致病微生物 致病微生物

更多相关视频

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

10.9K

相关实验视频

Last Updated: Jun 10, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

3.9K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.1K
Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

10.9K

科学领域:

  • 微生物学 微生物学
  • 生物医学工程 生物医学工程
  • 人工智能的人工智能

背景情况:

  • 传染病仍然是一个重大的全球卫生挑战,需要先进的诊断和治疗策略.
  • 快速识别病原体对于有效应对疫情和抗菌药物管理至关重要.
  • 传统的微生物识别方法可能是耗时和劳动密集的.

研究的目的:

  • 开发和评估一种新的单细胞微生物识别技术.
  • 利用人工智能 (AI) 和拉曼光谱来快速准确地检测病原体.
  • 探索AI在病原体识别和传染病研究的各个方面的潜力.

主要方法:

  • 开发一个单细胞微生物识别系统,整合拉曼光谱和人工智能.
  • 使用激光拉曼采集系统来收集光谱数据.
  • 卷积神经网络 (CNN) 分析用于自动形态识别和图像处理的应用.

主要成果:

  • 在微生物识别方面获得了95.64%的平均准确率.
  • 证明了在5分钟的快速时间内识别能力.
  • 突出了可见形态检测致病微生物的显著优势.

结论:

  • 由人工智能驱动的拉曼光谱为病原体识别提供了高度准确和高效的方法.
  • 这项技术在抗感染药物发现,感染生物学和诊断开发方面具有广泛的应用.
  • 人工智能在促进病原体诊断,早期检测,个性化治疗和公共卫生安全方面发挥着关键作用.