Abstract
Rice is one of the most important agricultural crop in the world and widely studied model plant. The completion of whole genome sequence of rice (Oryza sativa) and high-throughput experimental platforms have led to the generation of the tremendous amount of data, and development of the specialized databases and bioinformatics tools for data processing, efficient organization, analysis, and visualization. In this article, we discuss a collection of biological databases that host genomics data on sequence, gene expression, genetic variation, gene-interactomes, and pathways, and facilitate data analysis and visualization.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
