Nicholas Joseph Matzke

The paper tests the pitcher hypothesis for the evolution of Utricularia bladder traps using statistical model comparison of phylogenetic data.

This study classifies and characterizes MotAB stator complexes across bacterial phyla, identifying structural innovations linked to flagellar motility.

This study shows that combining 3Di characters with sequence data improves phylogenetic resolution in protein superfamilies, but 3Di's effectiveness is reduced in alpha-helical proteins.

The paper maps the evolution of flagellar motility across bacterial species by analyzing genome data and developing a classifier to predict motility based on protein homology.

The paper uses structure-based hidden Markov models to predict protein folds and infer function, particularly for proteins with weak sequence homology.

This paper uses tertiary-interaction characters to improve structural phylogenetics beyond the twilight zone, achieving accurate results with fast computation.

The paper introduces a method to estimate rDNA copy number using modal coverage and applies it to yeast isolates, finding population-level variation in copy numbers.