Japonica group cultivar Nipponbare (Nip) and Indica group cultivar 93-11 are the two main cultivated varieties and parental lines for breeding in Asia. The database provides a vastly improved de novo assembly and annotation of Nipponbare and 93-11 reference genomes. The newly assembled Nip and 93-11 reference genomes displayed 2.2-fold (contig N50: 16,974 kb versus 7,711 kb) and 460-fold (9,640 kb versus 21 kb) higher contiguity than Nip MSU7 and 93-11 BGI genomes, respectively. This website firstly provides 6mA DNA methylation at a single-nucleotide resolution in Nip and 93-11 associated with actively expressed genes in rice.

Link to eRice

Reverse genetics is a powerful tool for funtional genomics study. Chemical mutagenesis efficiently generates phenotypic variations in otherwise homogeneous genetic backgrounds, enabling linking biological function with a gene of interest. Using ethyl methanesulfonate (EMS), we mutagenized the fresh pollen from maize B73 inbred and obtained a large number of mutants. Exome capture-Based SNP Discovery (EBSD) was used to identify all mutated loci. A website, called Maize EMS induced Mutant Database (MEMD), is constructed to allow scientists to search for and order the mutant seeds of interest for non-profit research. We will keep updating all the information related to the mutants.

Link to MEMD

Exploring functional genes from databases is essential in protein engineering. To achieve this, PirD, Protein Improvement and Rational Design, provides computational tools to simulate the expression, stability and function of proteins. Mutations can be designed to enhance the applicational properties of the proteins, even in extreme conditions.

Link to PirD

Cotton Functional Genomics Database (CottonFGD) integrates with modern genomic/transcriptomic data and earch/analysis/visualization modules. It aims at providing an easy, quick and visualized data analysis platform for cotton (Gossypium spp) researchers and other functional genomic researches.

Link to CottonFGD