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Updated: Jun 22, 2025

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微生物组建模:初学者指南

Emanuel Lange1,2, Lena Kranert3, Jacob Krüger4

  • 1Multidimensional Omics Data Analysis, Department for Bioanalytics, Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany.

Frontiers in microbiology
|July 4, 2024
PubMed
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此摘要是机器生成的。

这篇综述弥合了微生物学家和计算建模人员之间的知识差距. 它提供了微生物组建模的跨学科概述,从元组学数据到微生物组控制的预测模型.

科学领域:

  • 微生物组研究的研究.
  • 系统生物学 系统生物学
  • 计算建模计算建模

背景情况:

  • 微生物组是复杂的微生物生态系统,对健康,环境和生物技术至关重要.
  • 目前的理解受到复杂性的限制,需要先进的分析方法.
  • 系统生物学为研究生物系统提供了一个整体的框架.

研究的目的:

  • 弥合微生物学家和计算建模者之间的跨学科知识差距.
  • 为研究人员和生物信息学家提供微生物组建模的可访问概述.
  • 促进微生物组研究中的计算模型的开发和应用.

主要方法:

  • 利用系统生物学方法进行整体微生物组分析.
  • 使用元组学方法来生成分子特征数据.
  • 将实验数据集成到计算微生物组模型中.

主要成果:

  • 可以将metaomics数据编译成计算模型.
  • 模型能够预测,优化和控制微生物群的行为.
  • 该综述提供了入门级信息,示例和微生物组建模的参考资料.

结论:

关键词:
生物信息学是一种生物信息学.计算生物学是计算生物学.基于约束的建模.基因组规模建模模型人类微生物组的人类微生物组微生物生态学 微生物生态学欧米克斯数据集成数据集成系统微生物学 系统微生物学

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  • 计算机建模对于推动微生物组研究和应用至关重要.
  • 跨学科的知识共享是克服当前局限性的关键.
  • 本综述是微生物组建模的基础资源.