Jignesh Patel, associate professor of electrical engineering and computer science at the University of Wisconsin, will speak on "Indexing for Success: Effective and Efficient Analysis of Biological Data."  Modern life sciences datasets are growing at a rapid rate, and the level of analysis biologists want to conduct on these datasets is growing ever more complex.  Current forms of analysis slow down the scientific research of modern life science.

Patel will describe the recent work in the Periscope project, which strives to create more efficient, effective, and expressive tools to analyze biological graphs and sequences more rapidly. With faster tools, scientists can conduct more complex research and generate break-through results from having a quicker turnover in data analysis.

Patel's current focus is developing database management techniques for life sciences. Previously, he was a faculty member at the University of Michigan. He also worked for NCR Corp. to commercialize his thesis project on parallel object-relational database systems. Patel holds his master's and doctoral degrees in computer sciences from the University of Wisconsin.

The lecture is sponsored in part by the Russ College of Engineering and Technology's Center for Intelligent, Distributed and Dependable Systems, as part of the Bioinformatics Distinguished Lecture Series, part of an initiative to make the state of Ohio a national leader in bioinformatics.

-- From staff reports