Eric A. Franzosa

TL;DR: Improvements in the underlying pipeline for identifying marker genes and the profiling procedure resulted in much improved quantitative performances (higher correlation with true abundances, lower false positive and false negative rates).

TL;DR: It is demonstrated that periods of disease activity were also marked by increases in temporal variability, with characteristic taxonomic, functional, and biochemical shifts, and integrative analysis identified microbial, biochemical, and host factors central to this dysregulation.

TL;DR: The map uncovers significant interconnectivity between known and candidate cancer gene products, providing unbiased evidence for an expanded functional cancer landscape, while demonstrating how high-quality interactome models will help "connect the dots" of the genomic revolution.

TL;DR: HUMAnN2 is developed, a tiered search strategy that enables fast, accurate, and species-resolved functional profiling of host-associated and environmental communities and introduces ‘contributional diversity’ to explain patterns of ecological assembly across different microbial community types.

TL;DR: Using metabolomics and shotgun metagenomics on stool samples from individuals with and without inflammatory bowel disease, metabolites, microbial species and genes associated with disease were identified and validated in an independent cohort, providing an improved understanding of perturbations of the microbiome–metabolome interface in IBD.