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

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

241
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
241
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

503
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...
503

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

Brain health and the gut microbiome (bMicrobiome Study): a proof-of-concept, feasibility study integrating shotgun metagenomics, metrology, and multidimensional phenotyping across the cognitive aging spectrum.

Gut microbes reports·2026
Same author

Evaluating the analytical performance of direct-to-consumer gut microbiome testing services.

Communications biology·2026
Same author

The microbiota-gut-brain axis in mild cognitive impairment and Alzheimer's disease: a scoping review of human studies.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

A peanut trilogy: polyploid origin, domestication, and genomic instability.

The Plant journal : for cell and molecular biology·2025
Same author

STREAMS guidelines: standards for technical reporting in environmental and host-associated microbiome studies.

Nature microbiology·2025
Same author

Validation and Comparison of Live Microorganism Plating Analytical Procedures Following United States Pharmacopeia (USP) <1220> and <1210>.

Journal of dietary supplements·2025
Same journal

A set of constitutive promoters with graded strengths for gene expression in diverse cyanobacterial strains.

Applied and environmental microbiology·2026
Same journal

Sources and traits of bacteria and fungi found in the near-surface atmosphere.

Applied and environmental microbiology·2026
Same journal

Advancing One Health in Africa through continental early warning environmental surveillance.

Applied and environmental microbiology·2026
Same journal

Specificity and longevity of a bacterial interspecies mutual cooperation benefiting organic micropollutant biodegradation.

Applied and environmental microbiology·2026
Same journal

Coordinated regulation of trimethylamine catabolism in abundant marine bacteria.

Applied and environmental microbiology·2026
Same journal

Synergistic and individual effects of RNase E, II, and R in the regulation of <i>Escherichia coli</i> growth and metabolism.

Applied and environmental microbiology·2026
查看所有相关文章

相关实验视频

Updated: Jan 13, 2026

Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans
07:19

Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans

Published on: September 13, 2022

2.7K

一个数学框架来纠正微生物组数据集中的组合性.

Samuel P Forry1, Stephanie L Servetas1, Jason G Kralj1

  • 1Biosystems and Biomaterials Division, NIST, Gaithersburg, Maryland, USA.

Applied and environmental microbiology
|January 6, 2026
PubMed
概括
此摘要是机器生成的。

基因组测序数据可能因组合性而被扭曲. 本研究引入了内部标准来计算"缩量丰度",提高了微生物组分析的准确性和精度,以获得更好的健康和环境洞察力.

关键词:
构成性的组成性.实验设计 实验设计我们的内部标准是内部标准.大基因组测序的测序.缩小了丰富的规模.

更多相关视频

Individualized Reconstitution of Human Milk Microbiota: A Feasible Approach in Real-World Settings
04:16

Individualized Reconstitution of Human Milk Microbiota: A Feasible Approach in Real-World Settings

Published on: February 7, 2025

835
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

31.0K

相关实验视频

Last Updated: Jan 13, 2026

Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans
07:19

Compost Microcosms as Microbially Diverse, Natural-like Environments for Microbiome Research in Caenorhabditis elegans

Published on: September 13, 2022

2.7K
Individualized Reconstitution of Human Milk Microbiota: A Feasible Approach in Real-World Settings
04:16

Individualized Reconstitution of Human Milk Microbiota: A Feasible Approach in Real-World Settings

Published on: February 7, 2025

835
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

31.0K

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.
  • 基因组学就是基因组学.

背景情况:

  • 大基因组测序 (MGS) 对于微生物组分析至关重要,但受到数据组合性的影响.
  • 复合性意味着分类的相对丰富程度取决于所有其他分类,这使准确的量化变得复杂.
  • 这种扭曲妨碍了对微生物社区在健康和环境中的作用的准确解释.

研究的目的:

  • 开发和验证一种方法来纠正元基因组测序数据中的组成扭曲.
  • 为准确的微生物群量化引入外源内部标准和数学框架.
  • 为了能够在各种样本中对单个微生物群类型进行可靠的定量比较.

主要方法:

  • 将外源内部标准纳入常规的元基因组测序工作流程.
  • 从内部标准数据开发一个数学框架来计算"缩量丰度".
  • 使用模拟微生物群落和人类肠道微生物组 (便) 样本进行验证.

主要成果:

  • "尺度丰度"是独立于样本组成,并且与实际的生物丰度成正比.
  • 与传统的相对丰度测量相比,新方法显示出更高的精度和准确性.
  • 通过对不同组成和丰度的个体 taksa 进行可靠的定量比较.

结论:

  • 使用内部标准的拟议方法有效地纠正了MGS数据中的组合扭曲.
  • "尺度丰富性"为准确的分类定量提供了一条途径,推进了微生物组研究.
  • 这种方法对临床和环境健康应用具有重大潜力,需要精确的微生物分析.