Abstract
Rice is one of cereal crops and a model species for monocots. Since the release of the first draft rice genome sequences in 2002, considerable progress has been achieved in rice genomic researches, thanks to rapid development and efficient utilization of bioinformatics methods and tools. In this review, we summarize the progress of studies of rice genome sequencing and other omics and introduce the well-maintained bioinformatics databases and tools developed for rice genome resources and breeding. After reviewing the history of rice bioinformatics, we use single-cell sequencing and machine learning as examples showing how bioinformatics integrates emerging technologies and how it continues to develop for future rice research.
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