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用于分析微生物组数据的数据预处理 - 一个迷你回顾

Ruwen Zhou1, Siu Kin Ng1, Joseph Jao Yiu Sung1,2

  • 1Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, 308232, Singapore.

Computational and structural biotechnology journal
|October 16, 2023
PubMed
概括
此摘要是机器生成的。

本次审查解决了在人类微生物组研究中需要更好的预处理方法的需求. 标准化技术对于准确分析微生物群落和可靠的健康影响研究至关重要.

关键词:
16S rRNA 序列的测序批量效应 批量效应 批量效应数据预处理数据预处理微生物组数据 微生物组数据规范化 规范化 规范化

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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:

  • 人类微生物组显著影响健康,使其成为一个重要的研究领域.
  • 高通量测序推进了微生物组研究,但面临着分析挑战.
  • 现有的预处理方法缺乏标准化,阻碍了数据质量和偏差最小化.

研究的目的:

  • 为微生物组数据的预处理技术提供全面的概述.
  • 引导研究人员选择合适的数据分析方法.
  • 确定在微生物组预处理中需要进一步方法开发的领域.

主要方法:

  • 该审查概述了微生物组数据分析的典型工作流程.
  • 讨论的关键预处理步骤包括质量过,批量效应校正,归算,规范化和数据转换.
  • 突出了各种技术的优点和局限性.

主要成果:

  • 介绍了微生物组数据预处理的实用指南.
  • 审查确定了未来方法进步的关键领域.
  • 强调了强大的预处理对于有效的生物学结论的重要性.

结论:

  • 标准化和强大的预处理对于准确的微生物组数据分析至关重要.
  • 改进的预处理方法将提高有关微生物组与健康相互作用的发现的可靠性.
  • 需要进一步的研究来开发和验证先进的预处理技术.