----------------------------------------------------------------------- BIOINFORMATICS COLLOQUIUM School of Computational Sciences George Mason University ----------------------------------------------------------------------- Integrating gene expression and proteomic data with other biological data types: Human disease associations, Literature mining, and Biological pathways Kevin G. Becker Ph.D. Gene Expression and Genomics Unit National Institute on Aging National Institutes of Health Tuesday, September 14, 2004 4:30 pm Verizon Auditorium, Prince William Campus High throughput gene expression and proteomic studies demand equally matched systems for biological analysis of large quantities of data. We have developed three publicly accessible web based tools, which are useful for the integration of high throughput gene expression and proteomic data. These include: PubMatrix for high throughput semi-automated literature searching http://pubmatrix.grc.nia.nih.gov/; The Genetic Association Database for the integration of human genetic data http://geneticassociationdb.nih.gov and BBID-The Biological Biochemical Image Database http://bbid.grc.nia.nih.gov/ I will present the challenges in developing these tools; novel features which aid high throughput data analysis, and applications of these tools in microarray and proteomic data analysis. ---------------------------------------------------------------------- Refreshments are served at 4:00 pm. Find the schedule and directions at http://www.binf.gmu.edu/colloq.html