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EGDB: A comprehensive multi-omics database for energy grasses and the epigenomic atlas of pearl millet
Lin Luo1, Dongmei Lin2, Jinhui Li3
1College of Life Science, National Engineering Research Center of JUNCAO, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Haixia Institute of Science and Technology Fujian Agriculture and Forestry University Fuzhou China.
Abstract:
Given the key role of energy grasses in biomass energy, electricity, biofuels, and carbon sequestration, the Energy Grass Omics Database (EGDB) integrates germplasm data with genomics, transcriptomics, epigenomics, and phenomics data to support functional genomic research on diverse energy grass species. EGDB also currently supplies the largest epigenetic data set of energy grasses: a high-resolution chromatin modification, chromatin accessibility, and gene expression landscape of pearl millet to provide insights into regulatory traits essential for sustainable energy production.

