GERDH
GERDH provides a multi-omics database for cross-species data mining in horticultural crops, enabling comparative genetic and epigenetic analyses across fruits, vegetables, and ornamental plants.
Key Features:
- Extensive Omics Libraries: Integrates 12,961 uniformly processed publicly available omics libraries from over 150 horticultural plant species, including fruits, vegetables, and ornamental plants.
- Cross-Species Analysis Module: Enables identification of conserved genes essential for specific biological processes across different horticultural species.
- Analytical Tools: Implements a suite of analytical tools including gene expression analysis, in-species analysis, epigenetic regulation assessment, gene co-expression studies, enrichment and pathway analysis, and phylogenetic analysis.
- Data Visualization: Includes data visualization capabilities for exploration of complex multi-omics datasets.
- Uniform Data Processing: Employs uniformly processed omics datasets to ensure consistency and comparability across analyses.
Scientific Applications:
- Postharvest Storage Gene Identification: Facilitates identification of genes implicated in postharvest storage across horticultural species.
- Gene Function Discovery and Validation: Supports discovery of novel gene functions, exemplified by identification of CmEIN3 roles in flower development validated through transgenic chrysanthemum studies.
- Comparative Multi-omics Studies: Enables comparative multi-omics investigations of conserved genetic pathways and epigenetic regulation across horticultural species.
Methodology:
Compilation and use of 12,961 uniformly processed publicly available omics libraries from over 150 horticultural species to support consistent multi-omics analyses.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 2/9/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Cheng H, Zhang H, Song J, Jiang J, Chen S, Chen F, Wang L. <scp>GERDH</scp>: an interactive multi‐omics database for cross‐species data mining in horticultural crops. The Plant Journal. 2023;116(4):1018-1029. doi:10.1111/tpj.16350. PMID:37310261.
DOI: 10.1111/tpj.16350
PMID: 37310261
Funding: - National Basic Research Program of China: 2022YFF1003104