Proprietary Databases For Microbiome Lead Discovery

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