James B. Thissen

This study shows selenium deficiency in mice increases viral mutation diversity and generates mutations seen in SARS-CoV-2 pandemic variants.

Meta2DB provides a curated metagenomic database with 13,897 samples across 84 studies for predicting human health states using ML models.

The paper introduces an embeddings fusion approach to predict disease state from microbiome features using visual representations of taxonomic data, achieving high classification accuracy across multiple factors.

This study integrates host and sample metadata with microbiome abundance profiles to improve disease prediction models using machine learning.

The paper benchmarks enrichment methods for sequencing low-abundance Influenza A Virus in wastewater and identifies suitable approaches for surveillance.

The paper develops new Centrifuge-compatible nt databases to improve metagenomic classification accuracy by addressing reference database inconsistencies and growth challenges.

The paper shows that passaging SARS-CoV-2 viral stocks under antiserum selection pressure increases genetic diversity and antibody escape mutations, making them more representative of circulating viruses.