John D. Sterrett

PASTA quantifies chromosomal translocations from amplicon sequencing with high accuracy and sensitivity, outperforming existing methods in detecting rare rearrangements.

This study examines how western versus agrarian diets affect gut microbiome composition and immune function in HIV-positive individuals in rural and urban Zimbabwe.

This study identifies green tea compounds in plasma of mice with and without gut microbiomes, showing their metabolism is influenced by microbiome composition and diversity.

The paper develops a multi-omic prediction framework to diagnose IBD using metagenomic, metatranscriptomic, metabolomic, and viromic data, finding that metabolomics and viromics provide stronger predictive power than other omics.

SCNIC generates correlation networks and identifies modules of correlated features in compositional data, increasing statistical power and revealing microbial relationships.