Robert VanBuren

The paper investigates CAM photosynthesis variation in Pinguicula species, finding a continuum of CAM phenotypes across closely related species.

The paper demonstrates that integrating transcriptomic and phenomic data with genotypes improves trait prediction in maize across environments.

This paper introduces the Euler Characteristic Transform (ECT) for classifying plant shapes and predicting leaf venation from blade geometry using deep learning.

This study presents a chromosome-level genome of Myrothamnus flabellifolia and transcriptomic data, revealing its desiccation tolerance mechanisms and sex determination system.

The paper identifies a core set of 744 stress-responsive genes in maize across six abiotic stresses using RNAseq data and machine learning, highlighting transcription factors as key regulators.

This study investigates the domestication history and genetic diversity of teff using genomic analyses, identifying key loci associated with seed color and panicle architecture.

This study evaluates how internationality affects interdisciplinary learning in a US-Mexico graduate course bridging computational and plant science, finding that cultural and linguistic diversity influences expertise distribution and skill development.

This study analyzes 5,963 papers on desiccation tolerance to identify research trends, gaps, and opportunities through topic modeling and citation network analysis.

This study analyzes drought gene expression datasets and finds they are inconsistent, proposing classifiers to detect drought stress and advocating for standardized protocols.

This paper presents a chromosome-scale genome assembly for sour cherry, revealing it is trigenomic with three ancestral subgenomes and providing insights into its evolutionary history.

The paper confirms a two-step hybridization model for the formation of hexaploidy in Brassiceae and shows subgenomes have distinct loss rates but functionally compatible genes.

This study predicts complex traits in maize using transcriptome and genetic marker data, finding similar performance between both approaches and highlighting transcriptome's role in capturing trait variation not captured by sequence data.

The paper presents the first sequenced genome of European hazelnut and high-density genetic maps to aid breeding efforts.