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
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.0K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.0K
Microorganisms in Medicine and Therapeutics01:29

Microorganisms in Medicine and Therapeutics

2
Microorganisms play a fundamental role in vaccine development, gene therapy, and therapeutic production. Their biological properties are harnessed to advance medicine and public health. Beyond immunization, microorganisms contribute to gut health, antibiotic synthesis, and genetic disease treatment.Live Attenuated and Inactivated VaccinesLive attenuated vaccines, such as the measles, mumps, and rubella (MMR) vaccine, utilize weakened forms of pathogens to closely resemble natural infections.
2
Microbial Morphologies01:29

Microbial Morphologies

3
Bacterial and archaeal cells exhibit remarkable diversity in shape and structure, critical in their adaptability and functionality. Among bacteria, the most commonly observed shapes include cocci and bacilli. Cocci are spherical and may exist singly or in groupings such as pairs (diplococci), chains (streptococci), clusters (staphylococci), or tetrads. Bacilli, in contrast, are rod-shaped and can also occur as single cells, in pairs, or chains, depending on their environmental and genetic...
3

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

Adaptive graph learning of microbial phylogeny enables accurate and interpretable microbiome-based host phenotype prediction.

Applied and environmental microbiology·2026
Same author

Scikit-bio: a fundamental Python library for biological omic data analysis.

Nature methods·2025
Same author

CaDAVEr: a metagenome-assembled genome catalog of microbial decomposers across vertebrate environments.

Microbiology resource announcements·2025
Same author

Survival and safety evaluation of <i>Bifidobacterium longum</i> subsp<i>. longum</i> ZS-8 in healthy adults, determined using PMAxx-qPCR and amplicon sequencing.

Microbiology spectrum·2025
Same author

Mitigation of <i>P. gingivalis</i>-exacerbated intestinal inflammation by paeoniflorin through alteration of the gut microbiota.

Microbiology spectrum·2025
Same author

RNA-ligand interaction scoring via data perturbation and augmentation modeling.

Nature computational science·2025

相关实验视频

Updated: Jun 10, 2025

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

据DeepPhylo报道,植物学意识的微生物嵌入增强了人类微生物组数据分析中的预测准确性.

Bin Wang1, Yulong Shen2, Jingyan Fang1

  • 1School of Mathematics and Computer Sciences, Nanchang University, Nanchang, 330031, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|October 15, 2024
PubMed
概括

DeepPhylo整合了微生物的丰富性和进化距离,以便更好地分析微生物群. 这种新的方法在各种生物应用中增强了模式发现和预测准确性.

关键词:
的贝塔多样性.深度学习是一种深度学习.微生物组是一个微生物组.人类的基因组学.

更多相关视频

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
07:21

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

Published on: August 25, 2018

12.8K
Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
11:22

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

27.8K

相关实验视频

Last Updated: Jun 10, 2025

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
Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
07:21

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

Published on: August 25, 2018

12.8K
Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
11:22

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

27.8K

科学领域:

  • 微生物学 微生物学
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 微生物组数据分析由于高维度,稀疏性和组成性而复杂.
  • 整合微生物丰富度和遗传学信息可以改善模式发现和预测性能.
  • 现有的方法往往忽视了家族遗传树内的进化距离.

研究的目的:

  • 介绍DeepPhylo,一种用于微生物组数据分析的新方法.
  • 为了有效地整合微生物丰富性和植物遗传信息,使用植物遗传意识的安普利康嵌入.
  • 在微生物组研究中增强无监督的歧视力和监督的预测准确性.

主要方法:

  • 开发DeepPhylo,一种新的计算方法.
  • 利用植物学意识的安普利康嵌入来捕捉进化距离.
  • 综合丰富性和遗传学信息进行全面分析.

主要成果:

  • 与现有方法相比,DeepPhylo表现出优越的性能.
  • 该方法提高了无监督的歧视力和监督的预测准确性.
  • 在各种微生物组应用中增强了生物学相关的见解.

结论:

  • 通过结合进化距离,DeepPhylo提供了一种优越的微生物组数据分析方法.
  • 该方法在产生生物洞察力和预测任务方面取得了显著的改进.
  • DeepPhylo在多个现实世界微生物组使用案例中有效,包括疾病诊断和宿主特征预测.