An easy way to automatize downstream 16S-rRNA or other type of microorganism sequensing data analysis yielding significant associations between patient parameters and taxa abundance
We use mock data: input_bacteria.csv - normalized bacterial abundance input_metadata.csv - metadata from patients
typical Maaslin2 output format. folders contain .csv files with taxa ranking and statistics and figures for significant hits
manually extracted figures for incorporation into Quatro report
maaslin2-analysis.qmd contains all code and comments to describe this analysis