Fig. 1
From: tidyMicro: a pipeline for microbiome data analysis and visualization using the tidyverse in R
Flowchart of the tidyMicro pipeline. The supplied OTU table(s) must be in the standard format output by QIIME with column names that match a sequencing library names column in the clinical data. The initial step is merging all OTU tables and clinical data using the tidy_micro function (a). From here, the tidyMicro set can be used for exploratory visuals (b), community level analyses (c), and taxa level analyses (d, e)