相关实验视频

Updated: Jun 7, 2025

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

机器学习方法用于微生物识别,病毒性评估和使用DNA测序方法的抗菌感应性评估:系统审查

Abel Onolunosen Abhadionmhen¹, Caroline Ngozi Asogwa², Modesta Ero Ezema³

¹Department of Microbiology, Federal University Wukari, Wukari, Nigeria.

Molecular biotechnology

|November 9, 2024

概括

机器学习和DNA测序增强了微生物分析,用于识别病原体和预测抗菌素耐药性 (AMR). 这种整合改善了诊断,但在数据质量和成本方面面临挑战.

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:

微生物感染和抗菌素耐药性 (AMR) 是全球主要的健康威胁.
病原体的毒性导致严重的感染和治疗挑战.
机器学习 (ML) 和DNA测序为微生物分析提供了协同作用的潜力.

研究的目的:

审查最近在将ML与DNA测序集成的进展,以用于微生物识别,病毒性评估和抗微生物敏感性测试.
确定这个跨学科领域当前的局限性和研究缺口.

主要方法:

从2014年1月到2024年6月,在主要科学数据库 (PubMed,Scopus,Web of Science,IEEE Xplore) 进行系统的文献搜索.
纳入标准集中在微生物识别,毒性和抗菌素敏感性测试中的ML应用上.
数据分析涉及对19项选定的研究进行叙事综合,并使用QIAO工具进行批判性评估.

主要成果:

机器学习算法的集成 (例如,随机森林,SVM,CNN) 与DNA测序 (例如,WGS,元基因组测序) 显示出显著的前景.
研究表明,高预测准确度,F1得分高达0.88和AUC得分高达0.96.
关键的应用包括增强的病原体识别,毒性评估和抗菌素易感性预测,主要关注AMR.

结论:

结合ML和DNA测序实质性地推进了微生物分析,以改善诊断和AMR管理.
持续存在的挑战包括数据质量,成本和模型可解释性,需要进一步研究.
持续创新对于加强疾病管理和公共卫生战略至关重要.

关键词:

抗微生物耐药性抗微生物耐药性在DNA测序过程中,DNA测序机器学习机器学习大基因组测序的测序.微生物的毒性微生物的毒性预测分析是一种预测分析.整个基因组的测序.

更多相关视频

Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes

Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes

Published on: March 3, 2023

Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples

Purifying the Impure: Sequencing Metagenomes and Metatranscriptomes from Complex Animal-associated Samples

Published on: December 22, 2014

相关概念视频

Methods of Classification and Identification

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...

Applications of Molecular Taxonomy

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 Comparisons

Evolutionary Relationships through Genome Comparisons

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...