Imran Shah



Title: Computing for High-Throughput Biology in Lisp


Abstract: Using Common Lisp we are  developing a computational infrastructure to address a range of open high-throughput biological research problems ranging from the prediction of gene function to the inference biochemical networks. On the one hand, the flexible and rapid

development of modular and reusable software in Lisp enables us to solve problems efficiently, allowing us to focus on the complex domain-specific issues. On the other hand, we benefit from the many paradigms of complex problem solving from AI. In this talk I will

present an overview of our research in bioinformatics with specific examples of how we use Lisp for inference in high-throughput biology.