Maaslin2 package demonstration. Multifactorial linear regression analysis

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

Input

We use mock data: input_bacteria.csv - normalized bacterial abundance input_metadata.csv - metadata from patients

Output

typical Maaslin2 output format. folders contain .csv files with taxa ranking and statistics and figures for significant hits

Assets

manually extracted figures for incorporation into Quatro report

R

maaslin2-analysis.qmd contains all code and comments to describe this analysis