Lora A. Khatib

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

The paper uses whole-body metabolic models to link gut microbiota to metabolic changes in Alzheimer's disease, identifying key microbial drivers and metabolites involved.

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

The paper creates a spectral library of N-acyl lipids from metabolomics data, identifies novel compounds, and links them to health conditions like HIV and cognitive impairment.

The paper develops a drug exposure resource from untargeted metabolomics data to identify medications without clinical records.