KRiShI

KRiShI provides a curated knowledgebase of rice sheath blight (SB) information and integrated OMICS datasets to support analysis of host resistance, pathogen response, and management-related biological pathways.

Key Features:

• Data integration and mining: Consolidates literature-derived and OMICS-scale datasets and supports data mining, visualization, benchmarking, and download for downstream analysis.
• Comprehensive content: Aggregates disease details, best management practices, host resistance strategies, differentially expressed genes, proteins, metabolites, resistance genes, and pathway-level results from OMICS experiments.
• Gene-centric responsiveness query: Enables querying of rice gene identifiers to retrieve evidence of responsiveness or resistance to Rhizoctonia solani (R. solani).
• Community curation: Supports community submission and manual curation to incorporate new experimental results and literature-derived annotations.

Scientific Applications:

• Genomic studies: Use differentially expressed genes and resistance gene data to identify genetic factors influencing SB resistance.
• Proteomics and metabolomics research: Use protein and metabolite data to investigate molecular pathways involved in host response and disease progression.
• Pathway analysis: Analyze pathway-level results to identify targets for intervention against SB.
• Agronomic practice evaluation: Assess best management practices and resistance strategies to inform crop protection measures.

Methodology:

Manual curation of scientific literature and integration of curated OMICS-scale data into an organized framework to support data retrieval and analysis.