A plant resource and experiment management system based on the Golm Plant Database as a basic tool for omics research

Area of Science:

• Plant science
• Bioinformatics
• Systems biology

Background:

• Omics experiments require detailed characterization of genetic, cultivation, and treatment histories.
• Standardized data storage is crucial for meta-analysis and systems biology approaches.
• Relational databases are preferred for managing complex experimental data.

Purpose of the Study:

• To develop a data management system for collecting and organizing plant experimental data.
• To ensure data standardization for bioinformatics analyses and publication.
• To facilitate data sharing and collaborative research within an academic environment.

Main Methods:

• Implemented a Laboratory Information Management System (LIMS) with web-based interfaces.
• Developed modules for germplasm, experimental conditions, and sampling details.
• Utilized a barcode-scanner system for tracking plant material and environmental data.

Main Results:

• The system manages genetic features, cultivation workflows, and experimental conditions.
• Life history and genetic data are linked to analytical results via a sampling module.
• Web interfaces and search tools enhance data accessibility and management for researchers.

Conclusions:

• The Golm Plant Database system provides standardized genetic and environmental information for plant material.
• It adheres to the Minimum Information About a Microarray Experiment (MIAME) standard for sample data.
• The system supports collaborative research and efficient data analysis in systems biology.