Submitted to: Handbook of Maize
Publication Type: Book / Chapter
Publication Acceptance Date: September 30, 2007
Publication Date: January 6, 2009
Citation: Lawrence, C.J., Ware, D. 2009. Databases and data mining. In: Bennetzen, J.L., Hake, S., editors. Handbook of Maize. Vol. 2, Genetics and Genomics. 1st edition. New York, NY: Springer Science and Business Media, LLC. p. 659-672. Technical Abstract: Over the course of the past decade, the breadth of information that is made available through online resources for plant biology has increased astronomically, as have the interconnectedness among databases, online tools, and methods of data acquisition and analysis. For maize researchers, the number of resources available is both impressive and daunting, in many cases leaving them at a loss regarding where to begin. Described here is an historical perspective on the origin of these resources, as well as how they are expected to change and grow in the future. We outline the current types of resources, how they are connected, and methods for data acquisition, analysis, and interpretation. In addition, we offer guidance to assist researchers place data generated by their maize projects into appropriate databases for long-term storage.