Andorf Carson M, Cannon Ethalinda K, Portwood John L, Gardiner Jack M, Harper Lisa C, Schaeffer Mary L, Braun Bremen L, Campbell Darwin A, Vinnakota Abhinav G, Sribalusu Venktanaga V, Huerta Miranda, Cho Kyoung Tak, Wimalanathan Kokulapalan, Richter Jacqueline D, Mauch Emily D, Rao Bhavani S, Birkett Scott M, Sen Taner Z, Lawrence-Dill Carolyn J
USDA-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
Department of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.
Nucleic Acids Res. 2016 Jan 4;44(D1):D1195-201. doi: 10.1093/nar/gkv1007. Epub 2015 Oct 1.
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 (including diversity data, expression data, gene models, and metabolic pathways), and developing and deploying a modern interface. In addition to coordinating a data resource, the MaizeGDB team coordinates activities and provides technical support to the maize research community. MaizeGDB is accessible online at http://www.maizegdb.org.
玉米基因组数据库(MaizeGDB)是一个精心策划、以社区为导向的数据库和信息服务平台,面向专注于农作物和模式生物玉米(Zea mays ssp. mays)的研究人员。尽管在过去25年里一直存在某种形式的玉米社区数据库,但只进行过两次重大发布。1991年,创建了最初的玉米遗传学数据库MaizeDB。2003年,MaizeDB的内容与来自ZmDB的序列数据合并,作为一个名为MaizeGDB的单一资源提供访问。在接下来的十年里,MaizeGDB变得更加以序列为驱动,同时仍保留传统的玉米遗传学数据集。这使得该项目能够满足玉米研究社区持续增长和不断变化的需求,但界面和底层基础设施保持不变。2015年,MaizeGDB团队经过多年努力,通过重组现有数据、升级硬件和基础设施、创建新工具、纳入新的数据类型(包括多样性数据、表达数据、基因模型和代谢途径)以及开发和部署现代界面,对MaizeGDB资源进行了更新。除了协调数据资源外,MaizeGDB团队还协调各项活动,并为玉米研究社区提供技术支持。可通过http://www.maizegdb.org在线访问MaizeGDB。