The problem of Jinding the shortest common supersequence (SCS) of a set of sequences is an important problem with applications in many areas. It is also a key problem in biological sequences analysis. However, the problem is well-known to be NP-complete. Many heuristic algorithms have been proposed [I, 21. However, the performances of many current heuristic algorithms are not veiy good especially on many long sequences. In this paper, we have proposed a new heuristic algorithm, the Deposition and Reduction algorithm, for the SCSproblem on biological sequence analysis. This algorithm is based on our previous study on DNA oligos [3]. In this paper, we extend the study to also include protein sequences (with an alphabet size of 20). The algorithm is proven to have a guaranteed performance ratio. And the experiments clearly show that with respect to the length of the results, our algorithm can perform comparative to or better than many ofthe best known algorithms, especially in situations where there are many long sequences. Our algorithm is also eficient in time and space needed
Citation:
Kang Ning, Hon Wai Leong, "Towards a Better Solution to the Shortest Common Supersequence Problem: A Post," imsccs, vol. 1, pp.84-90, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006