Nicholas A. Mueth

The paper characterizes plant enhancer activity across multiple species and develops a deep learning model to predict enhancer strength and identify functional motifs.

This study uses Fiber-seq to analyze TE regulatory potential in maize, revealing epigenetic patterns and gene interaction mechanisms.

The paper identifies small DNA elements in plants that function as both insulators and silencers depending on regulatory context, validated in multiple plant species.

This study investigates how plant enhancers integrate transcription factor activity, finding both cooperative and additive interactions in light-responsive enhancers.

This study identifies small RNA-target pairs in wheat and the wheat stripe rust fungus, revealing cross-kingdom gene silencing mechanisms and their impact on pathogen virulence.