Timothy J. Straub

This study demonstrates high reproducibility in a DTC microbiome testing workflow using NIST fecal reference material across multiple processing steps and real-world conditions.

The paper integrates stool chemistry metrics with shotgun metagenomics in adults to identify distinct gut health profiles associated with microbial and inflammatory markers.

This study identifies distinct E. coli transcriptional profiles in the guts of recurrent UTI sufferers using a novel pangenome hybrid selection method.

StrainGE identifies low-abundance microbial strains from metagenomic data with higher sensitivity and resolution than existing tools.

QuantTB classifies mixed Mycobacterium tuberculosis infections in whole genome sequencing data, accurately quantifying strains and detecting resistance mutations.