MaizeGDB update: new tools, data and interface for the maize model organism database

MaizeGDB is a highly curated, community-oriented database and informatics service to researchers focused on the crop plant and model organism Zea mays ssp. mays. Although some form of the maize community database has existed over the last 25 years, there have only been two major releases. In 1991, the original maize genetics database MaizeDB was created. In 2003, the combined contents of MaizeDB and the sequence data from ZmDB were made accessible as a single resource named MaizeGDB. Over the next decade, MaizeGDB became more sequence driven while still maintaining traditional maize genetics datasets. This enabled the project to meet the continued growing and evolving needs of the maize research community, yet the interface and underlying infrastructure remained unchanged. In 2015, the MaizeGDB team completed a multi-year effort to update the MaizeGDB resource by reorganizing existing data, upgrading hardware and infrastructure, creating new tools, incorporating new data types (includ...

• Type: Journal
• Year: 2016
• Where: NAR
• Authors: Carson M. Andorf, Ethalinda K. S. Cannon, John L. Portwood II, Jack M. Gardiner, Lisa C. Harper, Mary L. Schaeffer, Bremen L. Braun, Darwin A. Campbell, Abhinav G. Vinnakota, Venktanaga V. Sribalusu, Miranda Huerta, Kyoung Tak Cho, Kokulapalan Wimalanathan, Jacqueline D. Richter, Emily D. Mauch, Bhavani S. Rao, Scott M. Birkett, Taner Z. Sen, Carolyn J. Lawrence-Dill
• Keywords: NAR 2016