Amplicon sequence processing workflow using QIIME 2 and Snakemake
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Updated
Jul 27, 2026 - Python
Amplicon sequence processing workflow using QIIME 2 and Snakemake
Python-first amplicon denoising — byte-identical to R's DADA2
Unified short-read workflow for multi-marker amplicon (16S, ITS, 18S, gyrB, rpoB) and shotgun taxonomic profiling. Snakemake, conda-based, reproducible.
A reproducible nf-core/ampliseq pipeline characterizing antibiotic-mediated gut dysbiosis via paired-end 16S rRNA (V4) sequencing. Implements DADA2 exact sequence variant inference, SILVA-based taxonomic classification, and multivariate ecological ordination to quantify compositional perturbations in human fecal microbiomes.
Harmonized cross-species 16S rRNA comparison of the gut microbiota in EAE mice and human multiple sclerosis
ローカル LLM エージェントによる QIIME 2 マイクロバイオーム解析の完全自動化 — オフライン・APIキー不要・オープンソース
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