Devlin C. Moyer

The paper identifies two categories of transcription factor isoforms with distinct molecular functions and shows they contribute to gene regulatory complexity.

The paper introduces MACAW, a workflow for detecting errors in genome-scale metabolic models, showing that error types vary with curation methods and that pathway-level errors are particularly challenging.

This paper develops a Python tool for studying string chemistries and introduces a network-pruning algorithm to generate minimal metabolic networks.

The paper updates the Intron Annotation and Orthology Database and supports the class conversion model for U12-type intron evolution.