ThRSDB

ThRSDB provides a curated database of composition, molecular structure, and functionality data for starch derived from Thai domesticated rice cultivars and landraces to support research on rice starch properties.

Key Features:

• Extensive data collection: Curated data from 39 published research articles comprising 373 samples across 191 distinct Thai rice cultivars.
• Starch composition and structure: Records include composition, molecular structure, and functionality parameters of rice starch from the curated samples.
• Analytical methods: Dataset supports correlation analysis and Partial Least Squares Discriminant Analysis (PLS-DA) for exploring relationships among starch parameters and cultivars.
• Visualization tools: Visualization capabilities enable exploration and analysis of relationships between starch properties and rice varieties.

Scientific Applications:

• Food science research: Investigating how variations in starch composition and molecular structure influence rice starch functionality and end-product quality.
• Agricultural and biotechnology studies: Characterizing and comparing Thai rice cultivars and landraces based on starch properties.
• Industrial formulation and process optimization: Informing development and optimization of rice-based products by providing detailed starch property data.

Methodology:

Rigorous literature curation of 39 published articles to extract sample-level data (373 samples from 191 cultivars), followed by analyses including correlation analysis and PLS-DA.