Imran Shah |
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Title: Computing for High-Throughput Biology in
Lisp |
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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. |