Dan Huang

Anti-defense systems of viral communitie vary with genomic traits, host immunity and environmental stress

The paper investigates how viral anti-defense systems vary with genomic traits, host immunity, and environmental stress across microbial ecosystems.

Machine learning-based Personalized Dietary Recommendations to Achieve Desired Gut Microbial Compositions

This paper develops a machine learning framework to provide personalized dietary recommendations for achieving desired gut microbial compositions using population-level cohort data.

The human gut virome is a non-redundant and clinically informative component of the microbiome

This paper introduces VIP2B, a method to extract viral features from bulk metagenomes, showing that viral data improves disease diagnosis and reveals distinct gut virome community states.

Deep Learning Transforms Phage-Host Interaction Discovery from Metagenomic Data

PHILM, a deep learning framework, predicts phage-host interactions from metagenomic data with higher accuracy than traditional methods, identifying more interactions and capturing microbial succession patterns.