Performance of Microbiome Sequence Inference Methods in Environments with Varying Biomass

Cited by papers we hold 4

• Ranking the biases: The choice of OTUs vs. ASVs in 16S rRNA amplicon data analysis has stronger effects on diversity measures than rarefaction and OTU identity threshold · 2022
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• Primer, Pipelines, Parameters: Issues in 16S rRNA Gene Sequencing · 2021
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• QIIME 2 Enables Comprehensive End‐to‐End Analysis of Diverse Microbiome Data and Comparative Studies with Publicly Available Data · 2020
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• Controlling for Contaminants in Low-Biomass 16S rRNA Gene Sequencing Experiments · 2019
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