| Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequence JD Washburn, MK Mejia-Guerra, G Ramstein, KA Kremling, R Valluru, ... Proceedings of the National Academy of Sciences 116 (12), 5542-5549, 2019 | 143 | 2019 |
| Breaking the curse of dimensionality to identify causal variants in Breeding 4 GP Ramstein, SE Jensen, ES Buckler Theoretical and Applied Genetics 132 (3), 559-567, 2019 | 67 | 2019 |
| A sorghum practical haplotype graph facilitates genome‐wide imputation and cost‐effective genomic prediction SE Jensen, JR Charles, K Muleta, PJ Bradbury, T Casstevens, ... The Plant Genome 13 (1), e20009, 2020 | 58 | 2020 |
| Genome‐wide associations with flowering time in switchgrass using exome‐capture sequencing data PP Grabowski, J Evans, C Daum, S Deshpande, KW Barry, M Kennedy, ... New Phytologist 213 (1), 154-169, 2017 | 55 | 2017 |
| Phylogeny, biogeography and character evolution in the tribe Desmodieae (Fabaceae: Papilionoideae), with special emphasis on the New Caledonian endemic genera F Jabbour, M Gaudeul, J Lambourdière, G Ramstein, A Hassanin, ... Molecular Phylogenetics and Evolution 118, 108-121, 2018 | 40 | 2018 |
| Accuracy of Genomic Prediction in Switchgrass (Panicum virgatum L.) Improved by Accounting for Linkage Disequilibrium GP Ramstein, J Evans, SM Kaeppler, RB Mitchell, KP Vogel, CR Buell, ... G3: Genes, Genomes, Genetics 6 (4), 1049-1062, 2016 | 39 | 2016 |
| Dominance effects and functional enrichments improve prediction of agronomic traits in hybrid maize GP Ramstein, SJ Larsson, JP Cook, JW Edwards, ES Ersoz, ... Genetics 215 (1), 215-230, 2020 | 33 | 2020 |
| Predicting phenotypes from genetic, environment, management, and historical data using CNNs JD Washburn, E Cimen, G Ramstein, T Reeves, P O'Briant, G McLean, ... Theor. Appl. Genet., 2021 | 21 | 2021 |
| High-resolution genome-wide association study pinpoints metal transporter and chelator genes involved in the genetic control of element levels in maize grain D Wu, R Tanaka, X Li, GP Ramstein, S Cu, JP Hamilton, CR Buell, ... G3 11 (4), jkab059, 2021 | 21 | 2021 |
| Breeding for biomass yield in switchgrass using surrogate measures of yield MD Casler, GP Ramstein BioEnergy Research 11 (1), 1-12, 2018 | 18 | 2018 |
| Genome-Wide Association Study in Pseudo-F2 Populations of Switchgrass Identifies Genetic Loci Affecting Heading and Anthesis Dates M Taylor, CE Tornqvist, X Zhao, P Grabowski, R Doerge, J Ma, J Volenec, ... Frontiers in plant science 9, 1250, 2018 | 17 | 2018 |
| Genome-wide association study based on multiple imputation with low-depth sequencing data: application to biofuel traits in reed canarygrass GP Ramstein, AE Lipka, F Lu, DE Costich, JH Cherney, ES Buckler, ... G3: Genes, Genomes, Genetics 5 (5), 891-909, 2015 | 16 | 2015 |
| Phylogenomic discovery of deleterious mutations facilitates hybrid potato breeding Y Wu, D Li, Y Hu, H Li, GP Ramstein, S Zhou, X Zhang, Z Bao, Y Zhang, ... Cell 186 (11), 2313-2328. e15, 2023 | 12 | 2023 |
| Integrating GWAS and TWAS to elucidate the genetic architecture of maize leaf cuticular conductance M Lin, P Qiao, S Matschi, M Vasquez, GP Ramstein, R Bourgault, ... Plant Physiology 189 (4), 2144-2158, 2022 | 12 | 2022 |
| Extensions of BLUP models for genomic prediction in heterogeneous populations: application in a diverse switchgrass sample GP Ramstein, MD Casler G3: Genes, Genomes, Genetics 9 (3), 789-805, 2019 | 10 | 2019 |
| Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize GP Ramstein, ES Buckler Genome Biology 23 (1), 183, 2022 | 8 | 2022 |
| Candidate Variants for Additive and Interactive Effects on Bioenergy Traits in Switchgrass (Panicum virgatum L.) Identified by Genome‐Wide Association Analyses GP Ramstein, J Evans, A Nandety, MC Saha, EC Brummer, SM Kaeppler, ... The plant genome 11 (3), 180002, 2018 | 7 | 2018 |
| Haplotype associated RNA expression (HARE) improves prediction of complex traits in maize A Giri, M Khaipho-Burch, ES Buckler, GP Ramstein PLoS Genet. 17 (10), e1009568, 2021 | 5 | 2021 |
| Genome-wide associations with flowering time in switchgrass P Grabowski, J Evans, GP Ramstein, E Crisovan, B Vaillancourt, ... Proc. of the Plant and Animal Genome Conference (PAGXXIV), San Diego, CA …, 2016 | 3 | 2016 |
| Evolutionarily informed deep learning methods: predicting transcript abundance from DNA sequence JD Washburn, MK Mejia-Guerra, G Ramstein, KA Kremling, R Valluru, ... bioRxiv, 372367, 2018 | 2 | 2018 |
Edward BucklerUSDA-ARS, Cornell UniversityVerified email at cornell.edu
