Abstract
To integrate the genomic information of the rice pan-genome, we performed comparative analyses and established a user-friendly Rice Gene Index (RGI, https://riceome.hzau.edu.cn) platform with 16 platinum standard reference genomes and supplementary transcriptome data. To logically organize and scientifically the index of 744,233 genes among rice accessions, we detected 112,658 Ortholog Gene Indices, and provide ‘GeneCard’ pages to query genomic, transcriptomic, and homology information for each gene. The RGI allows users to search for relationships and comprehensive information of genes in keyword-based, sequence-based, and relationship-based ways. Furthermore, users can visualize these relationships at local and global scales corresponding to ‘Microcollinearity’ and ‘Macrocollinearity’ modules.
Original language | English (US) |
---|---|
Journal | Molecular Plant |
DOIs | |
State | Published - Mar 24 2023 |
Bibliographical note
KAUST Repository Item: Exported on 2023-03-28Acknowledgements: This research was supported by Fundamental Research Funds for the Central Universities (2662020SKPY010) and the Major Project of Hubei Hongshan Laboratory (2022HSZD031) to J.Z. We thank access to the annotation for the Magic 16 gene structure annotation from the Gramene project, specifically K. Chougule, Z. Lu, and D. Ware supported by USDA 8062-21000-041-00D. We sincerely thank the computing platform of the National Key Laboratory of Crop Genetic Improvement in HZAU and the ibex & Shaheen Cray XC40 platform at KAUST Supercomputing Laboratory for providing the computational resources.
ASJC Scopus subject areas
- Plant Science
- Molecular Biology