Bernhard Seidl

This study evaluates three biological nitrification inhibitors in two soils, finding that MBOA is the most effective with minimal off-target effects and greatest persistence.

This study evaluates the effects of exogenous biological nitrification inhibitors on barley growth, soil nitrogen dynamics, and microbial communities in an alkaline agricultural soil.

The paper identifies and annotates heterogeneous multimeric metabolite ions in LC-MS data using labeled and unlabeled Pichia pastoris extracts and demonstrates their presence in public and additional datasets.

PeakBot is a machine learning tool for detecting chromatographic peaks in LC-HRMS data, achieving high accuracy in distinguishing peaks from background signals.

CPExtract automatically searches LC-HRMS data for user-defined isotopolog patterns from labeled tracers, enabling pathway-specific metabolite detection in fungi.