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Updated: May 12, 2026

Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
Published on: June 8, 2020
Metagenomic Data Preprocessing and Quality Control
Bo Li1, Jiying Xu2, Tongyi Zhao2
1Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, China. libo01@gdut.edu.cn.
Abstract:
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.

