Multi-omic data from a variety of microbiome-host sites including unique respiratory databases
Custom Machine Learning Algorithms
Deep learning, bayesian, and statistical methods used to find patterns and biomarkers that predict disease outcomes
Host-Microbiome Insights
Strain-level identification of microbiome taxa and integration of host data to find microbiome-driven responses
