Yuhan Weng

The paper presents a large-scale gut microbiome dataset across 1,553 host species and identifies major compositional shifts in gut microbiomes during animal evolution.

The paper introduces MOPP, a pipeline for processing metaRibo-Seq data to improve taxonomic and functional analysis by reducing false positives through coverage breadth filtering.

The paper identifies microbial bile acid conjugation as a drug-activating function for 5-ASA, revealing its therapeutic relevance through metabolomics analysis.

DartUniFrac is a fast, scalable algorithm for microbiome analysis that matches the statistical performance of exact UniFrac methods.

The paper models microbial community assembly dynamics in Barrett's esophagus and esophageal adenocarcinoma, finding neutral dynamics in normal tissue and BE but not EAC, with H. pylori showing non-neutral behavior in BE non-cancer outcomes.

The paper introduces microbiomeMASST, a metadata network graph linking metabolites across datasets, enabling cross-study analysis of microbial metabolites and their biological context.

The paper uses ME-models to predict proteome allocation in the gut microbiome and identifies taxa associated with metabolic changes in IBD patients.

The paper introduces SkinCom, a synthetic skin microbial community, which enables reproducible in vitro and in vivo studies of the human skin microbiome and recapitulates 65.6% of in vitro responses in a human trial.