ngsComposer: an automated pipeline for empirically based NGS data quality filtering. - Ryan D. Kuster; G. Craig Yencho; Bode A. Olukolu (Briefings Bioinform., 2021)

Computer vision approach to characterize size and shape phenotypes of horticultural crops using high-throughput imagery. - Samiul Haque; Edgar J. Lobaton; Natalie G. Nelson; G. Craig Yencho; Kenneth V. Pecota; Russell Mierop; Michael W. Kudenov; Mike Boyette; Cranos M. Williams (Comput. Electron. Agric., 2021)

Qmatey: an automated pipeline for fast exact matching-based alignment and strain-level taxonomic binning and profiling of metagenomes. - Alison K. Adams; Brandon D. Kristy; Myranda Gorman; Peter Balint-Kurti; G. Craig Yencho; Bode A. Olukolu (Briefings Bioinform., 2023)

Predicting sweetpotato traits using machine learning: Impact of environmental and agronomic factors on shape and size. - Hangjin Liu; Shelly Hunt; G. Craig Yencho; Kenneth V. Pecota; Russell Mierop; Cranos M. Williams; Daniela S. Jones (Comput. Electron. Agric., 2024)