Processing and statistical analysis of 16S rRNA metagenomic experiments using R & Lotus pipeline.
The following analytical steps from raw data to communicable results will be on the program:

Metagenomic experiment planning, execution and analysis
Analyzing amplicon sequencing data with up-to-date tools and how to increase the quality of ASVs and OTUs, when to use what technique
Post-clustering of ASVs to avoid intra-genomic ASV false-positives
Working with low-biomass experiments, removing exogenous contamination in several scenarios
Numerical ecology focused analysis workflow for both metagenomic and amplicon sequencing based studies
Analysis of alpha/beta diversity
Univariate statistics to identify species enriched in sample groups
Multivariate statistics and visualization to identify clusters of samples
Assessing microbial communities based on ecological principles and species distributions