Rice bioinformatics in the genomic era: Status and perspectives

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. (C) 2021 Crop Science Society of China and Institute of Crop Science, CAAS. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.

Automated summary

Rice, as one of cereal crops and a model species for monocots, has seen significant progress in genomic research thanks to the rapid development and efficient utilization of bioinformatics methods and tools. Single-cell sequencing and machine learning are examples showing how bioinformatics integrates emerging technologies for future rice research.