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Tool: 16S Data Analysis in R: Comprehensive Phyloseq-based Microbiome Data Downstream Analysis & Visualization Workflow - From Feature Table to Figures in Minutes

Hello everyone,

I wanted to share something that might be really helpful for microbiome research projects. I’ve been working on this structured R code for 16S data downstream processing, and it’s been a game-changer for me. The script covers everything from importing pre-processed data (OTU/ASV table + taxonomy + metadata) to advanced statistical comparisons, and it’s designed to guide line by line to results.

This is a downstream analysis tool. It does not perform sequencing, denoising, or DADA2 processing. It starts where QIIME2 ends — with your preprocessed feature table — and runs the statistical analyses you need to interpret your data and write your Methods section.

It makes the analysis smoother and more accessible, with analysis-ready ggplot figures, exported CSV tables and robust statistics.

Head over to https://microbiome16s.blululi.it/landing and grab the full R script — 2,190+ lines, 13 sections. A structured starting point for 16S downstream analysis.

phyloseq analysis 16s microbiome r

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