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Accurate metagenomic analysis relies on clean and well-processed sequencing reads. This chapter presents a concise four-step workflow for preprocessing: raw data assessment, adapter and quality filtering, host DNA removal, and final clean-read evaluation. By standardizing these essential procedures, researchers can minimize contamination, reduce technical bias, and ensure reliable inputs for assembly and downstream metagenomic analyses.

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Metagenomic Data Preprocessing and Quality Control

  • 实验方案

  • 发表日期：

    2026年

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  • Bo Li,
  • Jiying Xu,
  • Tongyi Zhao,
  • Xue Yang,
  • Qidong Yin,
  • Yanting Zou

摘要

Accurate metagenomic analysis relies on clean and well-processed sequencing reads. This chapter presents a concise four-step workflow for preprocessing: raw data assessment, adapter and quality filtering, host DNA removal, and final clean-read evaluation. By standardizing these essential procedures, researchers can minimize contamination, reduce technical bias, and ensure reliable inputs for assembly and downstream metagenomic analyses.