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.

PMID: 37310261
Funding: - National Basic Research Program of China: 2022YFF1003104