

A computational gene discovery approach that integrates large-scale gene expression data with molecular markers to identify high-confidence candidate genes for improving soybean tolerance to extreme weather events such a...

A cutting-edge in-silico pipeline designed to predict and rank gene expression changes in plants via single-nucleotide variants in promoters. Utilizing rice as a model, the solution integrates multiple genomic data sourc...

Exploring how maize hybridization alters seed and seedling microbiomes, potentially optimizing crop resilience and performance through microbial community insights.