| MaizeGDB 2018: the maize multi-genome genetics and genomics database JL Portwood, MR Woodhouse, EK Cannon, JM Gardiner, LC Harper, ... Nucleic acids research 47 (D1), D1146-D1154, 2019 | 262 | 2019 |
| MaizeGDB update: new tools, data and interface for the maize model organism database CM Andorf, EK Cannon, JL Portwood, JM Gardiner, LC Harper, ... Nucleic acids research 44 (D1), D1195-D1201, 2016 | 209 | 2016 |
| MaizeDIG: maize database of images and genomes KT Cho, JL Portwood, JM Gardiner, LC Harper, CJ Lawrence-Dill, ... Frontiers in plant science 10, 1050, 2019 | 11 | 2019 |
| Predicting Tissue-Specific mRNA and Protein Abundance in Maize: A Machine Learning Approach KT Cho, TZ Sen, CM Andorf Frontiers in Artificial Intelligence 5, 830170, 2022 | | 2022 |
| Discovering relationships between genotype and phenotype: Machine learning approaches KT Cho | | 2021 |
| MaizeGDB: New Resources for Maize Researchers J Portwood, E Cannon, D Schott, KT Cho, M Snarskis, M Dietze, JR Walsh, ... Plant and Animal Genome XXVI Conference (January 13-17, 2018), 0 | | |
