PAG-X  Plant, Animal & Microbe Genomes X Conference

January 12-16, 2002
Town & Country Convention Center
San Diego, CA


Bioinformatics: Databases
           Computer: Poster and Demo


MaizeDB: OVERVIEW, DATA ACCESS/MINING

Mary Polacco1 , Su-Shing Chen2 , Zhiwei Fang3 , Denis Hancock3 , Hector Sanchez-Villeda3 , Steve Schroeder3 , Edward Coe1

1 USDA-ARS, Curtis Hall, University of Missouri, Columbia, MO 65211 USA
2 Dept. Computer Engineering and Computer Science, University of Missouri, Columbia, MO 65211 USA
3 Dept Agronomy, University of Missouri, Columbia, MO 65211 USA

MaizeDB, www.agron.missouri.edu focuses on documentation of genome maps and associated gene functions and expression. Functionality includes gene products, both empirically determined or inferred by sequence similarity, phenotypic variation and agronomic traits. Documentation includes data sources, published literature, researchers with updated addresses, available genetic stocks, mutant images, available DNA clones, screening images, map scores and recombination data and in addition, relevant records in external databases. In this way, MaizeDB both credits sources and facilitates evaluation and reproducibility of data.

What good are data if you can't access them? The computer demonstration and poster will highlight new accesses and their potential to facilitate discovery and to drive hypothesis-based research:

We thank the Rice Genome Program, Tsukuba, JP for source code to the GIOT map viewer, the NSF for funding of the Maize Mapping Project, USA, the USDA for funding of MaizeDB.


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