Sudarshan Anand Shetty

The paper introduces an open-source ecosystem for microbiome data science using Bioconductor, supporting modular workflows for analyzing complex, multi-modal datasets.

The paper analyzes gut microbiome data from three countries to show diet-microbiota associations vary by location and strain.

This study compares storage methods and protocols for human gut microbiome samples to identify standardized practices that reduce technical variation and improve data comparability.

This study profiles the gut microbiota of over 1000 Indians across 14 cities, finding geographic variation and Prevotella dominance, with high Treponema prevalence despite western lifestyle trends.