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MaizeGDB update: new tools, data and interface for the maize model organism database.
Carson M Andorf1, Ethalinda K Cannon2, John L Portwood3
1USDA-ARS Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA Department of Computer Science, Iowa State University, Ames, IA 50011, USA carson.andorf@ars.usda.gov.
MaizeGDB, a vital resource for Zea mays researchers, has been significantly updated with new data types, tools, and a modern interface. This enhances its role as a community-oriented informatics service for maize genetics and genomics.
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Area of Science:
- Plant Science
- Bioinformatics
- Genomics
Background:
- MaizeGDB has served the maize research community for over 25 years.
- Previous versions (MaizeDB, ZmDB) evolved, with MaizeGDB becoming sequence-driven.
- The existing infrastructure and interface had not kept pace with research needs.
Purpose of the Study:
- To update and enhance the MaizeGDB resource.
- To incorporate new data types and improve user accessibility.
- To provide continued informatics support for the maize research community.
Main Methods:
- Reorganization of existing data.
- Upgrading hardware and infrastructure.
- Incorporating new data types (diversity, expression, gene models, pathways).
- Developing and deploying a modern interface and new tools.
Main Results:
- A significantly updated MaizeGDB resource is now available.
- The new interface and infrastructure support diverse maize datasets.
- Enhanced tools and data types cater to evolving research demands.
Conclusions:
- The updated MaizeGDB provides a robust, community-oriented informatics service.
- It supports maize genetics, genomics, and breeding research.
- MaizeGDB continues to be a central hub for Zea mays research data and community activities.