Nishad Bapatdhar

The paper introduces a two-step metagenomic classification method that improves precision and scalability using sample-tailored minimizer libraries, achieving higher species-level read classification.

The paper evaluates the potential and challenges of building an IBS classifier using integrated microbiome data, finding that while XGBoost achieves moderate accuracy, performance drops significantly when tested across diverse datasets.

The paper develops a network model linking gut microbiota, metabolites, and aging hallmarks to identify microbes and metabolites influencing aging processes.