PlantRegMoD: An Integrative and AI-Driven Multi-Omics Database for Plant Regeneration Research
This work constructed PlantRegMoD, an AI-powered integrated multi-omics database dedicated to plant regeneration, hosting 20.54 TB of standardized multi-omics data from 147 projects across 32 plant species and 2,593 samples, establishing a unified hierarchical classification system covering five major categories and nine regeneration models, curating 236 regeneration genes and their 28,190 homologs across 58 representative plant species, and containing 196,423 single cells and over 8.81 million epigenetic peaks, equipped with nine online omics tools and a RAG-based intelligent Q&A system.