ABSTRACT
The Agricultural Genome Information System (AGIS) contains the largest collection of genome databases. Many of these contain quantitative trait loci (QTL) data of varying amounts and detail. AGIS contains contact information for each of the databases. Some of the databases have added QTL interval data such that it can be displayed on a genetic map. In order for QTL data to be useful, it is important that careful attention is paid as to how the data is recorded, formatted, and ultimately presented to a user. The future of QTL data retrieval and assimilation will likely depend upon the development of user interfaces which can automatically draw together and integrate information from diverse sources. Unfortunately, like urban sprawl, the building of information resources is largely done without regard to neighbor resources, which makes this integration difficult.
