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ARS Home » Midwest Area » Ames, Iowa » Corn Insects and Crop Genetics Research » Research » Publications at this Location » Publication #327165
Title: MaizeGDB: New tools and resource

Author
item Portwood, John
item CANNON, ETHALINDA - Iowa State University
item BRAUN, BREMEN - Oak Ridge Institute For Science And Education (ORISE)
item Harper, Elisabeth
item GARDINER, JACK - Iowa State University
item Schaeffer, Mary
item BRUMFIELD, MICHAEL - Iowa State University
item CHO, KYOUNG TAK - Iowa State University
item DUNFEE, BRITTANY - Iowa State University
item SCHOTT, DAVID - Iowa State University
item Sen, Taner
item Andorf, Carson

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 1/16/2016
Publication Date: 3/17/2016
Citation: Portwood II, J.L., Cannon, E., Braun, B., Harper, E.C., Gardiner, J.M., Schaeffer, M.L., Brumfield, M., Cho, K., Dunfee, B., Schott, D., Sen, T.Z., Andorf, C.M. 2016. MaizeGDB: New tools and resource. In: 58th Annual Maize Genetics Conference, March 17-20, 2016, Jacksonville, Florida. p. 62.

Interpretive Summary:

Technical Abstract: MaizeGDB, the USDA-ARS genetics and genomics database, is a highly curated, community-oriented informatics service to researchers focused on the crop plant and model organism Zea mays. MaizeGDB facilitates maize research by curating, integrating, and maintaining a database that serves as the central repository for the maize community. In 2009, the first publicly released reference assembly became available. At this time MaizeGDB became sequence driven while still maintaining traditional maize genetics datasets. The research focus of the maize community has continued to evolve, making it necessary to continually redefine the paradigm for data access and data analysis tools. This poster will highlight the latest reinvention of MaizeGDB to meet maize researcher’s needs and facilitate their goals. Our goal at MaizeGDB is to create a redesign that expands the overall functionality of MaizeGDB while simultaneously creating a clean, modern interface with enhanced user interaction and improved response times. The redesign creates a new look and feel as well as reorganizing existing data and incorporating new data, data types, and analysis tools (including, e.g., gene models, diversity data, and functional genomics datasets) into the MaizeGDB resource. Our latest work has involved providing genome stewardship for maize reference quality assemblies, providing better access to the MaizeGDB database, and developing new datasets and tools for maize breeders. A key component has been community involvement by offering their perspectives via email, website feedback, and personal interactions.