19th Annual Student Research Conference
Interdisciplinary
Gene Expression Visualization Application (GENEVA): Development and
Use in Shoot Apical Meristem Gene Expression Analysis
Olga H. Nikolova
Dr. Jon Beck, Dr. Diane Janick-Buckner, and Dr. Brent Buckner, Faculty Mentors
Microarray analysis generates large sets of raw data to which automated and manual processing is applied. A project is ongoing to analyze the genes involved in shoot apical meristem organization and leaf initiation in maize. The Gene Expression and Visualization Application (GENEVA) was designed to store, maintain, and facilitate the annotation process of the thousands of expressed sequence tags (ESTs). The application automates previously manual techniques used by researchers to retrieve important information, such as multiple BLAST reports, Maize Assembled Gene Islands (MAGIs), and six Open Reading Frames. GENEVA is highly searchable and presents statistical analysis of correlations in the data by categories for differentially regulated genes. GENEVA has significantly improved the speed and the quality of the EST annotation process. Current effort is ongoing to automate the categorization of the ESTs present in GENEVA’s database applying text-mining techniques to scientific literature.
Keywords: microarray analysis, maize, meristem, gene annotation, database, gene expression
Topic(s):Mathematical Biology
Presentation Type: Poster
Session: 60-77
Location: OP Lobby and Atrium
Time: 4:15