Plant & Animal Genomes XI Conference

January 11-15, 2003
Town & Country Convention Center
San Diego, CA

Bioinformatics: Databases
           Computer: Poster and Demo

BACMAN : BAC DATA MANAGEMENT FOR HIGH THROUGHPUT PHYSICAL MAPPING OF GENOMES

University of Georgia Center for Applied Genetic Technologies, 111 Riverbend Road, Athens, GA 30605, USA

BAC Data Management (BACMan) is a RDBMS for large insert library hybridization data that provides for high throughput screening of probes, increased quality assurance and interoperability with existing physical mapping software. BACMan increases throughput by allowing for the design and deconvolution of pooled probe multiplex hybridization experiments while incorporating high throughput scoring routines that utilize optical character recognition of hand-scored templates. Quality control incorporates a bar-coding system in which all films are traceable to individual experiment and probe. Further quality assurance is provided by a system in which deconvoluted hybridization data may be error checked with machine generated error checking templates that flag unmatched or overmatched hits and that can be compared to the original scored film. BACMan is fully interoperable with FPC, and is integrated with a sequence data management application currently under development in our lab. Online context sensitive help has been developed as an HTML help file, and an intuitive graphical user interface insures the application has a low learning curve. BACMan is currently deployed under MS Access, but work is underway to allow for deployment as a stand-alone Windows application using the Access run-time environment.