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6mA AI Predictor



   Here, we have developed the rice species-specific epigenomic annotation database, the eRice, to facilitate efficient rice epigenomic annotation for both japonica and indica groups.

  This database is integrated with DNA methylation data for 6mA and 5mC at single-base resolution and associated with 6mA artificial intelligence (AI) prediction data, histone modifications, genomic, transcriptomic resources in Nip and 93-11. The generated epigenomic information about the discovery of the single-base distributions of epigenetic markers (especially 6mA) across rice genomes provide a broad range of understanding regarding the epigenetic regulation of complex biological processes in plant development as well as breeding by molecular design.




November 1, 2019

eRice v1.1 is online.


August 3, 2019

Improved eRice website design.


May 1, 2019

Improved Genome Annotation.


March 25, 2019

Updated 6mA AI Predictor.


January 29, 2019

eRice v1.0 is online.


November 17, 2018

A paper describing DNA 6mA methylation in rice and its association with gene expression, plant development and stress responses has been published on Molecular Plant.


August 14, 2018

A review paper summarizing DNA 6mA methylation and RNA m6A in plant has been published on Molecular Plant.



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