Samuel E. Miller

This study quantifies amine- and alcohol-containing exometabolites from six phytoplankton species, revealing taxonomic variation in exometabolite composition and its impact on marine carbon cycling.

The paper presents a high-resolution multi-omics dataset of surface ocean metagenomes, metatranscriptomes, and tRNA transcripts collected over 48 hours to study microbial responses to environmental change.

The paper introduces EcoPhylo, a computational workflow to assess genome recovery rates in microbial communities using ribosomal protein phylogeography, applied to human gut and oral cavity data.

The paper improves microbial gene annotations by adaptively adjusting significance thresholds, enhancing sensitivity without sacrificing accuracy, especially for non-model organisms and underrepresented protein families.

The paper introduces Digital Microbes, an integrative framework for collaborative research on microbes, demonstrating its application with two case studies involving genomic and transcriptomic data.