Tarini Shankar Ghosh

HuMMANet harmonizes gut microbiome and metabolome data across 46 studies to identify reproducible metabolite-microbiome associations and their clinical relevance.

MifRix predicts disease-specific and generic risks using gut microbiome data, outperforming existing metrics and revealing shared microbial signatures across diseases.

The paper identifies endogenous sterols as intracellular allosteric modulators of the GPCR-Gα interface using a deep learning toolkit and experimental validation.

The paper identifies non-Bifidobacterial microbiome features associated with Bifidobacterial colonization and develops tools to predict responses to probiotic interventions.

The paper identifies Health-Associated Core Keystones (HACKs) in the human gut microbiome using large-scale data, showing their association with health and resilience, and their potential in therapeutic applications.

IPCO infers microbiome functionality from 16S profiles without reference genomes, outperforming existing methods and replicating biological signals from shotgun and metabolite data.

The paper identifies specific bacterial species associated with gut microbiome recovery after antibiotic use and shows their role in promoting microbial diversity and preventing pathogen colonization.