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MyRiceBase
MyRiceBase collects rice biology data for quality traits, including searchable and downloadable genomic, transcriptomic, gene, and network information.
About MyRiceBase
MyRiceBase is a curated biological database that centralises genomics and transcriptomics information for rice quality traits, particularly amylose and antioxidants. It contains single nucleotide polymorphisms (SNPs), genes and biological networks that users can search, browse or download.
Queries can be done by SNP ID, gene ID and variety name, with search and filter functions for putative panel SNPs, pigmented rice variety SNPs, annotated SNPs and co-expressed genes. The site lists 17 varieties, 1,028,398 SNPs, 2246 genes and 3 pathways, and provides Tableau and Neo4j for visualisation.
Key features
- Search SNPs and genes by SNP ID, gene ID, variety name
- Filter putative panel SNPs from genome and expressed genes
- Retrieve panel SNPs of pigmented rice varieties
- Browse annotated SNPs and co-expressed genes
- Download SNPs, genes and biological network data
- Visualise data with Tableau and Neo4j
Best for: Researchers doing basic, translational and applied research on rice genomics, genetics, breeding and disease related to quality traits.
Good for
- Centralises genomics and transcriptomics information for rice quality traits
- SNP, gene and network information can be searched, browsed or downloaded
- Provides Tableau and Neo4j for visualisation
MyRiceBase at a glance
- Website
- myricebase.mardi.gov.my
- Category
- Research & Data › Open Data & Datasets
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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MyRiceBase FAQ
How can I search MyRiceBase?
By SNP ID, gene ID and variety name, using search and filter functions.
What types of data can be retrieved?
Putative panel SNPs from the genome and expressed genes, panel SNPs of pigmented rice varieties, annotated SNPs, and co-expressed genes.
What visualisation options are available?
Tableau and Neo4j.
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