Lucas Patel

TurboANI is a fast, homology-aware ANI estimator with up to ~40,000x speedup over alignment-based methods and better accuracy than FastANI and skani.

This paper introduces LRQ, a long-read metagenomics method that enables absolute strain abundance measurement and resolves microbial evolution in a Crohn's disease patient over eight years.

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

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 investigates how industrialization affects microbial and physiological traits in the human gut across diverse populations, finding homogenized microbiomes, reduced diversity, and impaired disease prediction accuracy in less industrialized groups.

The paper examines how environmental and maternal factors influence infant gut metabolism through microbiome and metabolome profiling in Bangladeshi mother-infant pairs.