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Related Experiment Video

Updated: May 15, 2026

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize (Zea mays L.)

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize (Zea mays L.)

Published on: June 16, 2018

OPTIMAS-DW: a comprehensive transcriptomics, metabolomics, ionomics, proteomics and phenomics data resource for

Christian Colmsee¹, Martin Mascher, Tobias Czauderna

¹Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), 06466 Stadt Seeland, Corrensstr. 3, 06466 Stadt Seeland, OT Gatersleben, Germany.

BMC Plant Biology

|January 1, 2013

Summary

A comprehensive data warehouse for maize (OPTIMAS-DW) was developed to integrate multi-omics data, aiding systems biology research. This resource supports maize research by providing access to diverse experimental data and analysis results.

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Area of Science:

Agricultural Science
Bioinformatics
Systems Biology

Background:

Maize is a vital crop for nutrition and bioenergy, necessitating research into yield enhancement and stress response.
Understanding maize's reaction to environmental stressors is crucial for sustainable agriculture and bioenergy production.
The OPTIMAS project aimed to study maize under controlled stress conditions, integrating various omics data.

Purpose of the Study:

To establish a centralized data warehouse for maize research.
To integrate diverse omics data (transcriptomics, metabolomics, ionomics, proteomics, phenomics) for comprehensive analysis.
To support systems biology research in maize by providing a unified data platform.

Main Methods:

Development of the OPTIMAS Data Warehouse (OPTIMAS-DW) to store and manage maize experimental data.
Design and annotation of a 44K oligo chip for unigene function description.
Implementation of a Java-based import tool and a web interface for data access, filtering, and export.

Main Results:

Successful establishment of OPTIMAS-DW, integrating multiple data domains.
A web interface enabling users to browse, filter, and export experimental data.
Facilitation of cross-domain data analysis to address systems biology questions.

Conclusions:

OPTIMAS-DW provides a robust platform for maize systems biology research.
The data warehouse supports researchers by offering integrated data and analysis results.
The system is accessible online at http://www.optimas-bioenergy.org/optimas_dw.