Microbial taxonomic assignment based on 16S marker gene amplification requires multiple data transformations, often encompassing the use of a variety of computational platforms. Bioinformatics analysis may represent a bottleneck for researchers as many tools require programmatic access in order to implement the software. Here we describe a step-by-step approach for taxonomic assignment using QIIME2 and highlight the utility of graphical-based microbiome tools for further analysis and identification of biological relevant taxa with reference to an outcome of interest.
Keywords: 16S rRNA; Bioinformatics; Gut microbiome; LEfSe; MEGAN; QIIME 2.
© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.