In modern molecular biology, databases play a pivotal role. With the advent of high-throughput DNA sequencing technologies, a central question has become how to process, store, and present large-scale data sets, and databases where researchers can search for sequence data and related omics information are now indispensable. For rice, two major genome databases, the RAP-DB and RGAP databases, and several transcriptome databases are widely used. As genome resequencing data increased, some databases capable of displaying multiple genomes were also developed. Furthermore, novel databases are being developed for the comparison of genome sequences among wild and cultivated Oryza species. Bioinformatics analyses of omics information will be needed in the future, and researchers will likely desire to effectively retrieve data created by such analyses
therefore, databases are expected to function as a hub for multiple rice omics resources. Consequently, databases will facilitate the next-generation breeding science based on large-scale omics data.