q2-micom provides an interface between Qiime 2 and MICOM. It allows you to create and simulate metagenome-scale metabolic community models and to predict metabolic fluxes taking place in a microbial consortium. It can incorporate abundance and environmental data.
QIIME 2 plugin for normalizing sequences by 16S rRNA gene copy number (GCN) based on rrnDB database.
Compositional differential abundance analysis. ALDEx2 provides a framework that encompasses essentially all high-throughput sequencing data types by modelling the data as a log-ratio transformed probability distribution rather than as counts.
Interactively visualize feature rankings (differentials or feature loadings, sorted numerically) alongside the log-ratios of selected features' abundances.
q2-phylogenize allows users to link microbial genes to environments using phylogenetic regression. Phylogenetic regression takes into account the fact that species that share ancestry will often share phenotypic traits, including colonizing similar environments. This confounder can otherwise lead to high rates of spurious associations. We hope researchers who are doing functional analysis of 16S data will find this tool particularly useful.