Applications of Parameterized Computation in Computational Biology
Arkansas State University, US
parameterized computation, computational biology
According to the theory of NP-completeness, many problems that have important real-world applications in life science are NP-hard. This excludes the possibility of solving them in polynomial time unless P=NP. A number of approaches have been proposed in dealing with NP-hard problems. For example, The highly acclaimed approximation approach tries to come up with a good enough solution in polynomial time instead of an optimal solution for an NP-hard optimization problem. Parameterized computation is a newly developed approach, which tries to give exact solutions when a natural parameter is small. Here we present a summary of our recent research work on applications of parameterized computation in computational biology.
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Nanotech 2005 Conference Program Abstract