ArticleBiology methods & protocols2026
Optimization of DADA2 in QIIME2 for improving fidelity in 16S rRNA V4 amplicon data analysis.
Article in Biology methods & protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Exercise Training Transiently Increases Gut Microbiota Diversity and Short-Chain Fatty Acid Production in a Diet-Dependent Manner in Healthy Adults.Microorganisms · 2026Article
- Regulatory Mechanisms of Microbial Consortium Inoculant SynCom-SASW01 in Modulating Rhizosphere-Endophytic Interactions and Enhancing Drought Resistance in Wheat.Microorganisms · 2026Article
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2 authors.
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Abstract
High-throughput sequencing generates vast data, often containing low-quality bases, chimeras, and artifacts that can mislead taxonomic classification and diversity assessments. Divisive amplicon denoising algorithm 2 (DADA2) enhances taxonomic resolution by excluding low-quality bases and optimizing amplicon sequence variant inference. Proper truncation reduces computational load while maintaining key hypervariable regions for accurate classification. In this study, we examine the effect of various truncation lengths during the DADA2 analysis in ensuring statistical robustness and improving the reliability of microbial community profiling in ecological and environmental studies. Truncation of read length from 175 to 185 bp improves the quality read recovery rate, and preserves microbial diversity in the V4 hypervariable region of the Illumina paired-end reads. Incorporating the optimal truncation length strategy optimizes read recovery and preserves the richness and evenness of microbial communities.
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