Institute of Bioinformatics and Computational Biology

 

Goals

The Institute of Bioinformatics and Computational Biology (IBCB) maintains a vision of excellence in education, research and service in the emerging fields of bioinformatics and computational biology.

Education: The educational mission of the IBCB encompasses the stewardship of a curriculum to prepare students for a career in 21st Century medical research and entrepreneurship in biotechnology.

Research: The primary goals of IBCB researchers are to: 1) advance the fields of bioinformatics and computational biology, 2) catalyze innovation for biotechnology, and 3) support a novel learning-through-research environment to enhance the educational mission of the institute.

Service: A complementary function of IBCB is to engage its members in service initiatives supporting transformative projects in healthcare and biosciences. The dual aim is to achieve a long-lasting beneficial effect for the community and to more deeply connect students to the ultimate constituents in their chosen field.


Current Projects

Neuroinformatics: The IBCB Neuroinformatics Research Group is working to integrate neuroimagery and genomic databases, analytical toolsets and grid computing in a scientific workflow architecture that supports collaborative research. The ultimate goal of this effort is a cybernetic framework that encourages multidisciplinary inquiries spanning the fields of psychiatry, genetics and neuroscience. Workflow planning, knowledge acquisition and information visualization software suites will connect researchers to a diverse array of data and tools, and to each other.

Process Algebraic Models of Cellular Behavior: This project seeks to establish a formal system for expressing and analyzing cellular behavior. The core of the project is the development of a formal language for specifying the actions of biological elements, respecting principles of concurrency, locality and communication. A simulation engine will be built to support large-scale modeling and analysis of cellular systems.


Principal Investigators

John Hale

Professor, Department of Computer Science
phone: (918) 631-2745
email: john-hale@utulsa.edu

Bill Coberly

Associate Professor, Department of Mathematical Sciences
ph: (918) 631-3119
email: coberly@utulsa.edu

Richard Redner

Professor, Department of Mathematical Sciences
phone: (918) 631-2986
email: rredner@utulsa.edu

Kenton Miller

Associate Professor, Department of Biological Science
phone: (918) 631-3065
email: kenton-miller@utulsa.edu