P. E. Geyer

The paper examines consistency and complementarity across five omics layers in a drug-perturbed gut microbial community, finding high agreement in species abundance and functional insights from different data types.

The paper introduces OmicLearn, an open-source web-based tool for applying machine learning to biomarker discovery in proteomics and omics data without requiring programming or bioinformatics expertise.

A new parallel high-pressure packing system enables rapid multiplexed production of capillary columns, reducing production time by 40 to 800 times.

This study identifies circulating proteomic biomarkers for alcohol-related liver disease using paired liver biopsy and plasma proteomics, showing improved performance over existing tests.

The paper develops an ultra-sensitive MS-based assay to measure Rab10-Thr73 phosphorylation stoichiometry as a biomarker for LRRK2 activity in Parkinson’s disease.

The paper introduces a novel LC system for proteomics that enables rapid, high-throughput, and robust analysis with deep proteome coverage.