Databases for Rice Omics Studies

  • Takeshi Itoh
  • Yoshihiro Kawahara
  • Tsuyoshi Tanaka


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.


Database Bioinformatics High-throughput DNA sequencing Genome Transcriptome Comparative omics 



This work was supported by a grant from the Ministry of Agriculture, Forestry, and Fisheries of Japan (Genomics-based Technology for Agricultural Improvement, IVG2001 to T.I.) and the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant-in-Aid (grant No. 17HP8029 to Y.K.).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Takeshi Itoh
    • 1
  • Yoshihiro Kawahara
    • 1
  • Tsuyoshi Tanaka
    • 1
  1. 1.Advanced Analysis CenterNational Agriculture and Food Research OrganizationTsukubaJapan

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